Battery Management System (BMS) Algorithm Developer Location: Midlands, UK Employment Type: Full-time / Contract / Hybrid / Remote Department: EV Systems / Powertrain Engineering Overview We are looking for a passionate and experienced BMS Algorithm Developer to lead the design, development, and validation of cutting edge battery control algorithms for electric and hybrid vehicle applications. This role is integral to shaping the future of energy storage management across vehicle platforms, ensuring performance, safety, and compliance with global standards. Key Responsibilities Develop robust algorithms for State of Charge (SoC), State of Health (SoH), State of Power (SoP), fault diagnostics, and cell balancing Design and implement protection logic, thermal management, and charging strategies Model and simulate battery behavior using MATLAB/Simulink and PLECS Write and optimize real time embedded software in C/C++ for BMS microcontrollers Execute testing strategies including Model in the Loop (MIL), Software in the Loop (SIL), and Hardware in the Loop (HIL) Collaborate with battery, thermal, system integration, and software engineering teams to ensure seamless vehicle deployment Ensure systems align with industry standards including ISO 26262 and AUTOSAR Education Bachelor's or Master's degree in Electrical Engineering, Electronics, Mechatronics, or related fields Must Have Skills Hands on experience in BMS algorithm development (e.g., SoC/SoH estimation, fault handling, thermal modeling) Strong programming skills in MATLAB, Simulink, Embedded C/C++, Python In depth knowledge of battery chemistries such as Li ion, LFP, NMC Proficient in control theory, including digital filters and Kalman filters (EKF/UKF) Familiarity with CAN protocols, UDS, and diagnostic tools Preferred Skills Exposure to ISO 26262 functional safety processes Experience with machine learning for battery performance prediction Automotive development knowledge using ASPICE and V model lifecycle Tools & Technologies Simulation: MATLAB/Simulink, PLECS Programming: Embedded C, C++, Python Testing: dSPACE, CANape/CANalyzer, NI LabVIEW Communication: CAN, LIN, UDS, OBD Version Control: Git, SVN, Polarion
06/06/2026
Full time
Battery Management System (BMS) Algorithm Developer Location: Midlands, UK Employment Type: Full-time / Contract / Hybrid / Remote Department: EV Systems / Powertrain Engineering Overview We are looking for a passionate and experienced BMS Algorithm Developer to lead the design, development, and validation of cutting edge battery control algorithms for electric and hybrid vehicle applications. This role is integral to shaping the future of energy storage management across vehicle platforms, ensuring performance, safety, and compliance with global standards. Key Responsibilities Develop robust algorithms for State of Charge (SoC), State of Health (SoH), State of Power (SoP), fault diagnostics, and cell balancing Design and implement protection logic, thermal management, and charging strategies Model and simulate battery behavior using MATLAB/Simulink and PLECS Write and optimize real time embedded software in C/C++ for BMS microcontrollers Execute testing strategies including Model in the Loop (MIL), Software in the Loop (SIL), and Hardware in the Loop (HIL) Collaborate with battery, thermal, system integration, and software engineering teams to ensure seamless vehicle deployment Ensure systems align with industry standards including ISO 26262 and AUTOSAR Education Bachelor's or Master's degree in Electrical Engineering, Electronics, Mechatronics, or related fields Must Have Skills Hands on experience in BMS algorithm development (e.g., SoC/SoH estimation, fault handling, thermal modeling) Strong programming skills in MATLAB, Simulink, Embedded C/C++, Python In depth knowledge of battery chemistries such as Li ion, LFP, NMC Proficient in control theory, including digital filters and Kalman filters (EKF/UKF) Familiarity with CAN protocols, UDS, and diagnostic tools Preferred Skills Exposure to ISO 26262 functional safety processes Experience with machine learning for battery performance prediction Automotive development knowledge using ASPICE and V model lifecycle Tools & Technologies Simulation: MATLAB/Simulink, PLECS Programming: Embedded C, C++, Python Testing: dSPACE, CANape/CANalyzer, NI LabVIEW Communication: CAN, LIN, UDS, OBD Version Control: Git, SVN, Polarion
Macdonald, Dettwiler And Associates Corporation
East Hagbourne, Oxfordshire
Harwell - Didcot Didcot, OXF OX110GD, GBR Building the space between proven and possible, MDA Space (TSX:MDA) is a trusted mission partner to the global space industry. A robotics, satellite systems and Geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications satellites, Earth and space observation, and space exploration and infrastructure. The MDA Space team of more than 3,000 space experts in Canada, the US and the UK has the knowledge and know-how to turn an audacious customer vision into an achievable mission - bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that's been in our DNA since day one. For those who dream big and push boundaries on the ground and in the stars to change the world for the better, we'll take you there. Are you ready to launch the next stage of your career in the new space economy? We would love to hear from you! We're on the hunt for a STAFF Hardware Design Engineer. MDA's international footprint in the UK creates opportunities to work with some of the most exciting space industrial players in the country. Delivering all three business area capabilities in Geointelligence, Robotics & Space Operations, and Satellite Systems, our UK team provides support to our European-based customers while specializing in the development of advanced space sensors for exploration missions as well as space-based communication technology. As our presence grows overseas, so does our need for new ambitious team players to help us advance our place in the Universe and beyond. Responsibilities Working as part of a multi-disciplinary team of engineers developing FPGA/ ASIC based satellite telecommunication payloads for a variety of orbits Management of complex Hardware development and manufacturing activities Responsible throughout the Hardware product development lifecycle for the specification, design and testing Detailed circuit design including schematic capture, component selection and electronic simulation Engineering analysis and documentation (Derating, Worst Case, Reliability, Radiation, EMI/EMC Analysis, FMECA, Power Budget) Supporting Hardware/Software/System integration, test, validation and qualification Directing in-house and 3 rd party PCB layout design teams Deliver prototype and product quality manufacturing packages Playing an active role in the leadership of the team Required Skills and Qualifications 13 - 15+ years' experience in a hardware product design role, in the Space or an equivalent High Reliability/Safety sector Experience of line management or leading large multi-functional teams would be an asset Expertise of high speed digital design and Serdes interconnects Experience of design and manufacture of complex circuits and multi-layer (10+) HDI PCBs Knowledge of LEO/GEO communications payloads Experience of circuit and PCB design and simulation tools Specialist knowledge in any of the following areas would be advantageous: High reliability design and analysis (Space, Military, Automotive, etc.) RF design and validation Electronic circuitry radiation effects and mitigation techniques DC/DC power supply design Knowledge of environmental, thermal, safety and EMI/EMC standards Practical use of scripting languages Tcl/Python/Perl etc. We're a dream team of purpose-driven, collaborative and passionate people, and we are constantly looking for others to join to ignite new and innovative approaches to problem-solving that push us forward to improve life on and above Earth. If you're excited to expand our place in space and driven to inspire the next generation, we'll take you there. We have entered a new era of exploration and development, and MDA welcomes all who yearn to suit up and be part of it. An equal opportunity employer prizing diversity, integrity and collaboration, we are committed to growing MDA's leadership in this next golden age. Comments/Special Considerations We are required to conduct a BPSS (Baseline Personnel Security Standard) screening in which we will check your: Right to work: To confirm that you are entitled to take up the position as well as check your nationality and immigration status Identity: Full ID check Criminal records: Basic Disclosure Employment history check: Confirmation of past three years of employment (minimum) history/activity Reference checks Benefits statement MDA Space provides competitive compensation and benefits packages for its employees at all locations. As a team member of MDA, you and your qualified dependents are eligible to participate in a benefit plan that ensures a comprehensive level of protection through competitive health care including; private healthcare, disability income protection, life insurance, pension plan; and an employee assistance program. We also have a Hybrid work model in place, for a better work/life balance. Equal opportunity statement MDA Space is an equal opportunity employer prizing diversity and inclusion. We are committed to treating all employees and applicants for employment with respect and dignity. If you require assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please feel free to notify us. Accommodations MDA Ltd. is proud to provide accommodation(s) during the recruitment process. Should you require any accommodations, please indicate this on your application/cover letter and we will work with you to meet your accessibility needs.
06/06/2026
Full time
Harwell - Didcot Didcot, OXF OX110GD, GBR Building the space between proven and possible, MDA Space (TSX:MDA) is a trusted mission partner to the global space industry. A robotics, satellite systems and Geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications satellites, Earth and space observation, and space exploration and infrastructure. The MDA Space team of more than 3,000 space experts in Canada, the US and the UK has the knowledge and know-how to turn an audacious customer vision into an achievable mission - bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that's been in our DNA since day one. For those who dream big and push boundaries on the ground and in the stars to change the world for the better, we'll take you there. Are you ready to launch the next stage of your career in the new space economy? We would love to hear from you! We're on the hunt for a STAFF Hardware Design Engineer. MDA's international footprint in the UK creates opportunities to work with some of the most exciting space industrial players in the country. Delivering all three business area capabilities in Geointelligence, Robotics & Space Operations, and Satellite Systems, our UK team provides support to our European-based customers while specializing in the development of advanced space sensors for exploration missions as well as space-based communication technology. As our presence grows overseas, so does our need for new ambitious team players to help us advance our place in the Universe and beyond. Responsibilities Working as part of a multi-disciplinary team of engineers developing FPGA/ ASIC based satellite telecommunication payloads for a variety of orbits Management of complex Hardware development and manufacturing activities Responsible throughout the Hardware product development lifecycle for the specification, design and testing Detailed circuit design including schematic capture, component selection and electronic simulation Engineering analysis and documentation (Derating, Worst Case, Reliability, Radiation, EMI/EMC Analysis, FMECA, Power Budget) Supporting Hardware/Software/System integration, test, validation and qualification Directing in-house and 3 rd party PCB layout design teams Deliver prototype and product quality manufacturing packages Playing an active role in the leadership of the team Required Skills and Qualifications 13 - 15+ years' experience in a hardware product design role, in the Space or an equivalent High Reliability/Safety sector Experience of line management or leading large multi-functional teams would be an asset Expertise of high speed digital design and Serdes interconnects Experience of design and manufacture of complex circuits and multi-layer (10+) HDI PCBs Knowledge of LEO/GEO communications payloads Experience of circuit and PCB design and simulation tools Specialist knowledge in any of the following areas would be advantageous: High reliability design and analysis (Space, Military, Automotive, etc.) RF design and validation Electronic circuitry radiation effects and mitigation techniques DC/DC power supply design Knowledge of environmental, thermal, safety and EMI/EMC standards Practical use of scripting languages Tcl/Python/Perl etc. We're a dream team of purpose-driven, collaborative and passionate people, and we are constantly looking for others to join to ignite new and innovative approaches to problem-solving that push us forward to improve life on and above Earth. If you're excited to expand our place in space and driven to inspire the next generation, we'll take you there. We have entered a new era of exploration and development, and MDA welcomes all who yearn to suit up and be part of it. An equal opportunity employer prizing diversity, integrity and collaboration, we are committed to growing MDA's leadership in this next golden age. Comments/Special Considerations We are required to conduct a BPSS (Baseline Personnel Security Standard) screening in which we will check your: Right to work: To confirm that you are entitled to take up the position as well as check your nationality and immigration status Identity: Full ID check Criminal records: Basic Disclosure Employment history check: Confirmation of past three years of employment (minimum) history/activity Reference checks Benefits statement MDA Space provides competitive compensation and benefits packages for its employees at all locations. As a team member of MDA, you and your qualified dependents are eligible to participate in a benefit plan that ensures a comprehensive level of protection through competitive health care including; private healthcare, disability income protection, life insurance, pension plan; and an employee assistance program. We also have a Hybrid work model in place, for a better work/life balance. Equal opportunity statement MDA Space is an equal opportunity employer prizing diversity and inclusion. We are committed to treating all employees and applicants for employment with respect and dignity. If you require assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please feel free to notify us. Accommodations MDA Ltd. is proud to provide accommodation(s) during the recruitment process. Should you require any accommodations, please indicate this on your application/cover letter and we will work with you to meet your accessibility needs.
BMS System Architect - Functional Integration & Hardware Delivery Location: Midlands, UK Employment Type: Full-Time Department: Systems Architecture - Battery Management Systems Role Overview As a BMS System Architect, you will define and oversee the end-to-end architecture for cutting edge battery management systems, integrating control, hardware, and diagnostic components. Your technical leadership will shape the interfaces between SDU Controls, Cell Supervisory Controllers (CSC), and WGM hardware to ensure optimal system performance, safety compliance, and integration scalability. Key Responsibilities System Architecture & Design Define and evolve the holistic architecture of BMS across functional domains and hardware interfaces Architect scalable and robust integration schemes for SDU, CSC, and WGM units Balance competing requirements including safety, reliability, thermal management, and electrical performance Requirement Definition & Traceability Capture, structure, and decompose high-level system requirements into detailed functional and interface specifications Establish traceability from stakeholder inputs through design and verification stages using tools like IBM DOORS or Polarion Integration Strategy & Technical Oversight Guide multidisciplinary teams across software, controls, hardware, and validation functions Define integration boundaries, communication protocols, timing requirements, and fault handling mechanisms Support validation activities including HIL setup, test case scoping, and failure mode simulations Stakeholder & Compliance Coordination Liaise with internal technical leaders, suppliers, and product owners to align on architecture goals Ensure system compliance to standards including ISO 26262 (functional safety) and regulatory frameworks Influence platform roadmap decisions and future proof system scalability Required Qualifications Master's or Bachelor's degree in Electrical Engineering, Systems Engineering, or related field 7+ years of experience in embedded architecture, system level design, or BMS integration Proven track record architecting complex control systems across hardware and software domains Familiarity with CAN, LIN, SPI communication systems and real time embedded platforms Proficient in modeling and documentation tools (e.g., SysML, MATLAB/Simulink, Enterprise Architect) Preferred Attributes Experience with AUTOSAR architectures and safety critical application design In depth knowledge of lithium ion battery technology, cell balancing algorithms, and thermal modeling Strategic mindset with strong attention to technical detail and cross functional collaboration Background in automotive, aerospace, or electrification platforms requiring high voltage integration
06/06/2026
Full time
BMS System Architect - Functional Integration & Hardware Delivery Location: Midlands, UK Employment Type: Full-Time Department: Systems Architecture - Battery Management Systems Role Overview As a BMS System Architect, you will define and oversee the end-to-end architecture for cutting edge battery management systems, integrating control, hardware, and diagnostic components. Your technical leadership will shape the interfaces between SDU Controls, Cell Supervisory Controllers (CSC), and WGM hardware to ensure optimal system performance, safety compliance, and integration scalability. Key Responsibilities System Architecture & Design Define and evolve the holistic architecture of BMS across functional domains and hardware interfaces Architect scalable and robust integration schemes for SDU, CSC, and WGM units Balance competing requirements including safety, reliability, thermal management, and electrical performance Requirement Definition & Traceability Capture, structure, and decompose high-level system requirements into detailed functional and interface specifications Establish traceability from stakeholder inputs through design and verification stages using tools like IBM DOORS or Polarion Integration Strategy & Technical Oversight Guide multidisciplinary teams across software, controls, hardware, and validation functions Define integration boundaries, communication protocols, timing requirements, and fault handling mechanisms Support validation activities including HIL setup, test case scoping, and failure mode simulations Stakeholder & Compliance Coordination Liaise with internal technical leaders, suppliers, and product owners to align on architecture goals Ensure system compliance to standards including ISO 26262 (functional safety) and regulatory frameworks Influence platform roadmap decisions and future proof system scalability Required Qualifications Master's or Bachelor's degree in Electrical Engineering, Systems Engineering, or related field 7+ years of experience in embedded architecture, system level design, or BMS integration Proven track record architecting complex control systems across hardware and software domains Familiarity with CAN, LIN, SPI communication systems and real time embedded platforms Proficient in modeling and documentation tools (e.g., SysML, MATLAB/Simulink, Enterprise Architect) Preferred Attributes Experience with AUTOSAR architectures and safety critical application design In depth knowledge of lithium ion battery technology, cell balancing algorithms, and thermal modeling Strategic mindset with strong attention to technical detail and cross functional collaboration Background in automotive, aerospace, or electrification platforms requiring high voltage integration
Prismatic is a technology development company, specialising in the design, manufacture and delivery of innovative, high value aerospace products and systems. Prismatic is a subsidiary of BAE systems, led by a technically and commercially focused team. Our cutting-edge systems (such as the high-altitude PHASA-35) have clear commercial value, are developed at pace and address critical customer needs. We are currently looking for a Power Systems Engineer to join Prismatic Ltd. based in Alton. This will be an exciting opportunity to join a well-established, but growing, team working on exciting new Unmanned Air Vehicles. You will be supporting the development of advanced electrical power systems for cutting-edge unmanned aerial platforms. The successful candidate will play a key role in defining and implementing power architectures for UAV applications - including electric and hybrid-electric propulsion technologies. This is an exciting opportunity to contribute to the future of autonomous aviation, energy efficient flight, and next generation mission capabilities. Tasks and Accountabilities Responsible for design and development of DC Power Generation, storage, and management systems. Generation of integrated requirements and test strategies including functional, integrity and performance requirements across systems including software. Test and evaluation of power systems at unit level to full system integration. Test report generation and analysis of test data. Deployment on Flight Trials to lead and support battery/power generation integration and testing as required. Problem solving/fault finding of DC electrical systems at a system/unit level. Generation of assembly documentation/processes to assist manufacturing with the build. Qualifications and Experience Degree in Electrical, Aerospace, or Mechatronic Engineering (or equivalent experience). At least 5 years proven industry experience with DC power systems. Experience in the design and analysis of aircraft or UAV electrical power systems. Understanding of DC Power System architecture, ideally within the HALE domain or Automotive. Understanding of energy storage systems such as Li-ion, solid state batteries, or hydrogen fuel cells. Understand methodology of battery charge/discharge characteristics. Familiarity with aerospace standards and practices (e.g., Def Stan 00-970, STANAGs, DO-160, ARP4754A). Knowledge of UAV specific challenges including SWaP (Size, Weight, and Power) constraints, autonomous operation, and distributed architectures. Understanding of safety and certification principles of DC power systems. Generation of assembly documentation/process. Ability to work with third party companies to manufacture or certify products. Ability to manage own workload both independently and as part of a team. Ability to independently manage packages of work managing technicians and suppliers to meet programme timescales. Strong problem solving, communication (written and verbal), and systems thinking skills. Excellent attention to detail. Experience of novel R&D programs, ideally with challenging "cutting edge" technology. Experience of large UAV development. Experience of building vehicles, robots, or other complex systems. Proficient in modelling and simulation tools e.g. MATLAB, Python, or similar high level languages. Chartered Engineer (CEng) or working towards professional registration (desirable). Familiarity with UAV certification frameworks (e.g., CAP722, EASA SC Light UAS, MAA regulations). Hands on experience in lab testing and hardware in the-loop (HIL) systems. Experience in defence or dual use UAV applications. Experience with electric or hybrid electric propulsion systems for UAVs or eVTOL platforms. What We Offer We're proud to offer a competitive package and a range of benefits designed to support your career and wellbeing, including: Location: Alton (Hampshire), UK. Contract: Permanent, 37.5 hours per week (excluding breaks). Hybrid working (where applicable), giving you the flexibility to balance time between home and our offices (norm is 3 days a week). Bonus: Non contractual company performance related bonus. Pension: 10% company contribution, plus salary exchange options for AVCs. Green Benefits: Access to our Green Car/EV scheme via salary exchange. Annual Leave: 25 days plus bank holidays (rising to 28 days after 3 years' service). Employee Schemes: Eligibility for the BAE Systems Share Incentive Scheme, Company Performance Free Share awards, Cycle to Work scheme, and a Halfords Trade Discount Card. Community & Culture: Social and employee engagement activities through our Prismatic Pulse group. Wellbeing: Access to Occupational Health support, including an Employee Assistance Programme (EAP). Inclusion We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our team and is vital to the work we do. Proud to Support the Armed Forces Community We are proud signatories of the Armed Forces Covenant and holders of the Bronze Award, demonstrating our commitment to supporting those who serve and have served. We recognise that the discipline, teamwork, problem solving skills, and resilience gained through military life are a huge asset to our organisation. That's why we actively encourage applications from veterans, reservists, and the partners and families of those serving. If you've served in any capacity, or supported someone who has, we would love to hear from you.
04/06/2026
Full time
Prismatic is a technology development company, specialising in the design, manufacture and delivery of innovative, high value aerospace products and systems. Prismatic is a subsidiary of BAE systems, led by a technically and commercially focused team. Our cutting-edge systems (such as the high-altitude PHASA-35) have clear commercial value, are developed at pace and address critical customer needs. We are currently looking for a Power Systems Engineer to join Prismatic Ltd. based in Alton. This will be an exciting opportunity to join a well-established, but growing, team working on exciting new Unmanned Air Vehicles. You will be supporting the development of advanced electrical power systems for cutting-edge unmanned aerial platforms. The successful candidate will play a key role in defining and implementing power architectures for UAV applications - including electric and hybrid-electric propulsion technologies. This is an exciting opportunity to contribute to the future of autonomous aviation, energy efficient flight, and next generation mission capabilities. Tasks and Accountabilities Responsible for design and development of DC Power Generation, storage, and management systems. Generation of integrated requirements and test strategies including functional, integrity and performance requirements across systems including software. Test and evaluation of power systems at unit level to full system integration. Test report generation and analysis of test data. Deployment on Flight Trials to lead and support battery/power generation integration and testing as required. Problem solving/fault finding of DC electrical systems at a system/unit level. Generation of assembly documentation/processes to assist manufacturing with the build. Qualifications and Experience Degree in Electrical, Aerospace, or Mechatronic Engineering (or equivalent experience). At least 5 years proven industry experience with DC power systems. Experience in the design and analysis of aircraft or UAV electrical power systems. Understanding of DC Power System architecture, ideally within the HALE domain or Automotive. Understanding of energy storage systems such as Li-ion, solid state batteries, or hydrogen fuel cells. Understand methodology of battery charge/discharge characteristics. Familiarity with aerospace standards and practices (e.g., Def Stan 00-970, STANAGs, DO-160, ARP4754A). Knowledge of UAV specific challenges including SWaP (Size, Weight, and Power) constraints, autonomous operation, and distributed architectures. Understanding of safety and certification principles of DC power systems. Generation of assembly documentation/process. Ability to work with third party companies to manufacture or certify products. Ability to manage own workload both independently and as part of a team. Ability to independently manage packages of work managing technicians and suppliers to meet programme timescales. Strong problem solving, communication (written and verbal), and systems thinking skills. Excellent attention to detail. Experience of novel R&D programs, ideally with challenging "cutting edge" technology. Experience of large UAV development. Experience of building vehicles, robots, or other complex systems. Proficient in modelling and simulation tools e.g. MATLAB, Python, or similar high level languages. Chartered Engineer (CEng) or working towards professional registration (desirable). Familiarity with UAV certification frameworks (e.g., CAP722, EASA SC Light UAS, MAA regulations). Hands on experience in lab testing and hardware in the-loop (HIL) systems. Experience in defence or dual use UAV applications. Experience with electric or hybrid electric propulsion systems for UAVs or eVTOL platforms. What We Offer We're proud to offer a competitive package and a range of benefits designed to support your career and wellbeing, including: Location: Alton (Hampshire), UK. Contract: Permanent, 37.5 hours per week (excluding breaks). Hybrid working (where applicable), giving you the flexibility to balance time between home and our offices (norm is 3 days a week). Bonus: Non contractual company performance related bonus. Pension: 10% company contribution, plus salary exchange options for AVCs. Green Benefits: Access to our Green Car/EV scheme via salary exchange. Annual Leave: 25 days plus bank holidays (rising to 28 days after 3 years' service). Employee Schemes: Eligibility for the BAE Systems Share Incentive Scheme, Company Performance Free Share awards, Cycle to Work scheme, and a Halfords Trade Discount Card. Community & Culture: Social and employee engagement activities through our Prismatic Pulse group. Wellbeing: Access to Occupational Health support, including an Employee Assistance Programme (EAP). Inclusion We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our team and is vital to the work we do. Proud to Support the Armed Forces Community We are proud signatories of the Armed Forces Covenant and holders of the Bronze Award, demonstrating our commitment to supporting those who serve and have served. We recognise that the discipline, teamwork, problem solving skills, and resilience gained through military life are a huge asset to our organisation. That's why we actively encourage applications from veterans, reservists, and the partners and families of those serving. If you've served in any capacity, or supported someone who has, we would love to hear from you.
Automotive Software Architect & Toolchain Engineer - Electric drive systems Location: Norwich Permanent Hybrid / Onsite - ideally 3-4 days working onsite per week ARCA Resourcing is proud to partner with an innovative high-tech scale-up at the forefront of next-generation electric drive systems for automotive and mobility applications. This is a rare opportunity for a Software Tools & Architecture Engineer to play a defining role in shaping the entire software engineering ecosystem - from embedded platforms and operating systems through to automated toolchains, verification environments, and model-based development workflows. You'll be joining a highly ambitious engineering organisation developing advanced electric drive technologies, where software quality, scalability, automation, and engineering excellence are central to product success. The Opportunity In this role, you will define, standardise, and continuously improve the software architecture and development toolchain used across complex embedded automotive systems. You will act as a key technical authority in shaping how software is built, integrated, tested, verified, and released. This is a hands-on architecture role with significant influence across engineering disciplines, including embedded software, controls, systems, electronics, calibration, and validation teams. A core focus will be driving automation, process maturity, and engineering efficiency aligned with ASPICE principles and functional safety expectations. Key Responsibilities Define and maintain end-to-end software architecture across embedded platforms, middleware, applications, and verification environments Establish software engineering standards, architectural patterns, coding practices, and development workflows Lead the design of scalable, automated development environments including CI/CD pipelines, build systems, and test automation frameworks Specify and integrate toolchains across requirements, modelling, coding, simulation, testing, calibration, diagnostics, and HIL environments Support and enhance model-based development using MATLAB/Simulink and auto-code generation workflows Drive implementation of automated verification strategies including MIL, SIL, PIL, and HIL testing Improve software quality through metrics, dashboards, traceability, and continuous process improvement Ensure alignment with ASPICE, functional safety, cybersecurity, and product engineering requirements Collaborate across multi-disciplinary engineering teams to ensure architectural consistency and toolchain integration Evaluate and introduce emerging technologies to enhance development efficiency and system performance Key Skills & Experience Strong background in software architecture for embedded automotive or electric drive systems Experience building or improving software toolchains, CI/CD pipelines, and automated development workflows Working knowledge of MATLAB/Simulink and model-based development approaches Understanding of ASPICE-aligned automotive software processes Awareness of functional safety principles in embedded software environments Experience with automated testing, static analysis, version control, and requirements traceability Strong embedded software understanding (C/C++, real-time systems, diagnostics, calibration desirable) Experience working across cross-functional engineering teams A proactive mindset with the ability to introduce process improvement and automation Why Apply? This is a high-impact role where your work will directly shape how next-generation electric drive software is engineered, validated, and delivered. You'll have genuine influence over architecture decisions, tooling strategy, and engineering best practices in a fast-moving, innovation-led environment.
01/06/2026
Full time
Automotive Software Architect & Toolchain Engineer - Electric drive systems Location: Norwich Permanent Hybrid / Onsite - ideally 3-4 days working onsite per week ARCA Resourcing is proud to partner with an innovative high-tech scale-up at the forefront of next-generation electric drive systems for automotive and mobility applications. This is a rare opportunity for a Software Tools & Architecture Engineer to play a defining role in shaping the entire software engineering ecosystem - from embedded platforms and operating systems through to automated toolchains, verification environments, and model-based development workflows. You'll be joining a highly ambitious engineering organisation developing advanced electric drive technologies, where software quality, scalability, automation, and engineering excellence are central to product success. The Opportunity In this role, you will define, standardise, and continuously improve the software architecture and development toolchain used across complex embedded automotive systems. You will act as a key technical authority in shaping how software is built, integrated, tested, verified, and released. This is a hands-on architecture role with significant influence across engineering disciplines, including embedded software, controls, systems, electronics, calibration, and validation teams. A core focus will be driving automation, process maturity, and engineering efficiency aligned with ASPICE principles and functional safety expectations. Key Responsibilities Define and maintain end-to-end software architecture across embedded platforms, middleware, applications, and verification environments Establish software engineering standards, architectural patterns, coding practices, and development workflows Lead the design of scalable, automated development environments including CI/CD pipelines, build systems, and test automation frameworks Specify and integrate toolchains across requirements, modelling, coding, simulation, testing, calibration, diagnostics, and HIL environments Support and enhance model-based development using MATLAB/Simulink and auto-code generation workflows Drive implementation of automated verification strategies including MIL, SIL, PIL, and HIL testing Improve software quality through metrics, dashboards, traceability, and continuous process improvement Ensure alignment with ASPICE, functional safety, cybersecurity, and product engineering requirements Collaborate across multi-disciplinary engineering teams to ensure architectural consistency and toolchain integration Evaluate and introduce emerging technologies to enhance development efficiency and system performance Key Skills & Experience Strong background in software architecture for embedded automotive or electric drive systems Experience building or improving software toolchains, CI/CD pipelines, and automated development workflows Working knowledge of MATLAB/Simulink and model-based development approaches Understanding of ASPICE-aligned automotive software processes Awareness of functional safety principles in embedded software environments Experience with automated testing, static analysis, version control, and requirements traceability Strong embedded software understanding (C/C++, real-time systems, diagnostics, calibration desirable) Experience working across cross-functional engineering teams A proactive mindset with the ability to introduce process improvement and automation Why Apply? This is a high-impact role where your work will directly shape how next-generation electric drive software is engineered, validated, and delivered. You'll have genuine influence over architecture decisions, tooling strategy, and engineering best practices in a fast-moving, innovation-led environment.
Automotive Software Architect & Toolchain Engineer - Automotive or Electrical drive systems Location: Norwich Permanent Hybrid / 3-4 days onsite per week ARCA Resourcing is proud to partner with an innovative high-tech scale-up at the forefront of next-generation electric drive systems for automotive and mobility applications. This is a rare opportunity for a Software Tools & Architecture Engineer to play a defining role in shaping the entire software engineering ecosystem - from embedded platforms and operating systems through to automated toolchains, verification environments, and model-based development workflows. You ll be joining a highly ambitious engineering organisation developing advanced electric drive technologies, where software quality, scalability, automation, and engineering excellence are central to product success. The Opportunity In this role, you will define, standardise, and continuously improve the software architecture and development toolchain used across complex embedded automotive systems. You will act as a key technical authority in shaping how software is built, integrated, tested, verified, and released. This is a hands-on architecture role with significant influence across engineering disciplines, including embedded software, controls, systems, electronics, calibration, and validation teams. A core focus will be driving automation, process maturity, and engineering efficiency aligned with ASPICE principles and functional safety expectations. Key Responsibilities Define and maintain end-to-end software architecture across embedded platforms, middleware, applications, and verification environments Establish software engineering standards, architectural patterns, coding practices, and development workflows Lead the design of scalable, automated development environments including CI/CD pipelines, build systems, and test automation frameworks Specify and integrate toolchains across requirements, modelling, coding, simulation, testing, calibration, diagnostics, and HIL environments Support and enhance model-based development using MATLAB/Simulink and auto-code generation workflows Drive implementation of automated verification strategies including MIL, SIL, PIL, and HIL testing Improve software quality through metrics, dashboards, traceability, and continuous process improvement Ensure alignment with ASPICE, functional safety, cybersecurity, and product engineering requirements Collaborate across multi-disciplinary engineering teams to ensure architectural consistency and toolchain integration Evaluate and introduce emerging technologies to enhance development efficiency and system performance Key Skills & Experience Strong background in software architecture for embedded automotive or electric drive systems Experience building or improving software toolchains, CI/CD pipelines, and automated development workflows Working knowledge of MATLAB/Simulink and model-based development approaches Understanding of ASPICE-aligned automotive software processes Awareness of functional safety principles in embedded software environments Experience with automated testing, static analysis, version control, and requirements traceability Strong embedded software understanding (C/C++, real-time systems, diagnostics, calibration desirable) Experience working across cross-functional engineering teams A proactive mindset with the ability to introduce process improvement and automation Why Apply? This is a high-impact role where your work will directly shape how next-generation electric drive software is engineered, validated, and delivered. You ll have genuine influence over architecture decisions, tooling strategy, and engineering best practices in a fast-moving, innovation-led environment.
29/05/2026
Full time
Automotive Software Architect & Toolchain Engineer - Automotive or Electrical drive systems Location: Norwich Permanent Hybrid / 3-4 days onsite per week ARCA Resourcing is proud to partner with an innovative high-tech scale-up at the forefront of next-generation electric drive systems for automotive and mobility applications. This is a rare opportunity for a Software Tools & Architecture Engineer to play a defining role in shaping the entire software engineering ecosystem - from embedded platforms and operating systems through to automated toolchains, verification environments, and model-based development workflows. You ll be joining a highly ambitious engineering organisation developing advanced electric drive technologies, where software quality, scalability, automation, and engineering excellence are central to product success. The Opportunity In this role, you will define, standardise, and continuously improve the software architecture and development toolchain used across complex embedded automotive systems. You will act as a key technical authority in shaping how software is built, integrated, tested, verified, and released. This is a hands-on architecture role with significant influence across engineering disciplines, including embedded software, controls, systems, electronics, calibration, and validation teams. A core focus will be driving automation, process maturity, and engineering efficiency aligned with ASPICE principles and functional safety expectations. Key Responsibilities Define and maintain end-to-end software architecture across embedded platforms, middleware, applications, and verification environments Establish software engineering standards, architectural patterns, coding practices, and development workflows Lead the design of scalable, automated development environments including CI/CD pipelines, build systems, and test automation frameworks Specify and integrate toolchains across requirements, modelling, coding, simulation, testing, calibration, diagnostics, and HIL environments Support and enhance model-based development using MATLAB/Simulink and auto-code generation workflows Drive implementation of automated verification strategies including MIL, SIL, PIL, and HIL testing Improve software quality through metrics, dashboards, traceability, and continuous process improvement Ensure alignment with ASPICE, functional safety, cybersecurity, and product engineering requirements Collaborate across multi-disciplinary engineering teams to ensure architectural consistency and toolchain integration Evaluate and introduce emerging technologies to enhance development efficiency and system performance Key Skills & Experience Strong background in software architecture for embedded automotive or electric drive systems Experience building or improving software toolchains, CI/CD pipelines, and automated development workflows Working knowledge of MATLAB/Simulink and model-based development approaches Understanding of ASPICE-aligned automotive software processes Awareness of functional safety principles in embedded software environments Experience with automated testing, static analysis, version control, and requirements traceability Strong embedded software understanding (C/C++, real-time systems, diagnostics, calibration desirable) Experience working across cross-functional engineering teams A proactive mindset with the ability to introduce process improvement and automation Why Apply? This is a high-impact role where your work will directly shape how next-generation electric drive software is engineered, validated, and delivered. You ll have genuine influence over architecture decisions, tooling strategy, and engineering best practices in a fast-moving, innovation-led environment.
Role : Automotive Software Architecture & Toolchain Engineer Location : Hethel, Norfolk Type : Permanent Mode of work : Hybrid Key Responsibilities Define, document and maintain end-to-end software architecture across embedded software platforms, operating system layers, middleware, applications, development tools and verification environments for automotive electric drive systems. Establish and promote software development standards, architectural patterns, coding practices and best-practice workflows across engineering teams. Support the definition, implementation and continuous improvement of software processes, methods and toolchains aligned with ASPICE. Ensure software architecture aligns with product roadmaps, system requirements, functional safety needs, cybersecurity considerations, performance targets and structured automotive development processes. Evaluate and select core technologies, frameworks, libraries, operating systems, development tools and software components to support long-term scalability, maintainability, reuse and performance. Design and maintain a unified and automated development environment, including build systems, configuration management, code generation tools, CI/CD pipelines, automated test execution and verification frameworks. Specify, manage and configure development tools across the full software lifecycle, including requirements management, architecture modelling, model-based development, code generation, compilers, static analysis, unit testing, integration testing, calibration, diagnostics, debugging, simulation and HIL environments. Support the integration of MATLAB/Simulink, autocode generation, embedded C/C++, calibration tools, diagnostic tools, simulators and test automation into a consistent software delivery workflow. Implement advanced tools and methods such as automated defect detection, early-stage simulation, model-in-the-loop, software-in-the-loop, processor-in-the-loop, hardware-in-the-loop and automated verification. Establish metrics, dashboards and feedback loops to monitor and improve software quality, development efficiency, process maturity, defect trends and delivery cycle time. Drive defect reduction through improved build processes, automated testing, code quality gates, traceability, architectural governance and continuous integration. Work closely with embedded software, controls, systems, electronics, motor design, calibration, validation and test teams to ensure architectural consistency, tool compatibility and process alignment. Support software release readiness by improving traceability, repeatability, version control, verification evidence and development process compliance. Support innovation activities by exploring emerging technologies, tools and methodologies relevant to automotive electric drive systems. Key Skills Experience defining scalable, maintainable and high-performance software architectures for embedded automotive or electric drive systems. Strong capability in developing and maintaining software tools for simulation, testing, calibration, diagnostics, integration and automated software delivery. Experience with model-based development environments, including MATLAB/Simulink and similar platforms, to support system simulation, control development, testing and validation. Good understanding of automotive software development processes and toolchains aligned with ASPICE principles. Awareness of functional safety and software quality expectations in automotive development environments. Ability to integrate software tools into existing workflows, automate repetitive activities and enable efficient data exchange across software, hardware, controls and test environments. Experience with CI/CD, automated build systems, version control, requirements traceability, static analysis, automated testing and software quality metrics. Strong collaboration skills, with the ability to work effectively across software, controls, hardware, systems, calibration and validation teams. Ability to evaluate emerging technologies, improve workflows and introduce innovative solutions that enhance development efficiency, quality and system performance. Practical understanding of embedded software development, real-time systems, automotive communication protocols, diagnostics, calibration and HIL testing would be beneficial. Ability to evaluate emerging technologies, improve workflows. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
29/05/2026
Full time
Role : Automotive Software Architecture & Toolchain Engineer Location : Hethel, Norfolk Type : Permanent Mode of work : Hybrid Key Responsibilities Define, document and maintain end-to-end software architecture across embedded software platforms, operating system layers, middleware, applications, development tools and verification environments for automotive electric drive systems. Establish and promote software development standards, architectural patterns, coding practices and best-practice workflows across engineering teams. Support the definition, implementation and continuous improvement of software processes, methods and toolchains aligned with ASPICE. Ensure software architecture aligns with product roadmaps, system requirements, functional safety needs, cybersecurity considerations, performance targets and structured automotive development processes. Evaluate and select core technologies, frameworks, libraries, operating systems, development tools and software components to support long-term scalability, maintainability, reuse and performance. Design and maintain a unified and automated development environment, including build systems, configuration management, code generation tools, CI/CD pipelines, automated test execution and verification frameworks. Specify, manage and configure development tools across the full software lifecycle, including requirements management, architecture modelling, model-based development, code generation, compilers, static analysis, unit testing, integration testing, calibration, diagnostics, debugging, simulation and HIL environments. Support the integration of MATLAB/Simulink, autocode generation, embedded C/C++, calibration tools, diagnostic tools, simulators and test automation into a consistent software delivery workflow. Implement advanced tools and methods such as automated defect detection, early-stage simulation, model-in-the-loop, software-in-the-loop, processor-in-the-loop, hardware-in-the-loop and automated verification. Establish metrics, dashboards and feedback loops to monitor and improve software quality, development efficiency, process maturity, defect trends and delivery cycle time. Drive defect reduction through improved build processes, automated testing, code quality gates, traceability, architectural governance and continuous integration. Work closely with embedded software, controls, systems, electronics, motor design, calibration, validation and test teams to ensure architectural consistency, tool compatibility and process alignment. Support software release readiness by improving traceability, repeatability, version control, verification evidence and development process compliance. Support innovation activities by exploring emerging technologies, tools and methodologies relevant to automotive electric drive systems. Key Skills Experience defining scalable, maintainable and high-performance software architectures for embedded automotive or electric drive systems. Strong capability in developing and maintaining software tools for simulation, testing, calibration, diagnostics, integration and automated software delivery. Experience with model-based development environments, including MATLAB/Simulink and similar platforms, to support system simulation, control development, testing and validation. Good understanding of automotive software development processes and toolchains aligned with ASPICE principles. Awareness of functional safety and software quality expectations in automotive development environments. Ability to integrate software tools into existing workflows, automate repetitive activities and enable efficient data exchange across software, hardware, controls and test environments. Experience with CI/CD, automated build systems, version control, requirements traceability, static analysis, automated testing and software quality metrics. Strong collaboration skills, with the ability to work effectively across software, controls, hardware, systems, calibration and validation teams. Ability to evaluate emerging technologies, improve workflows and introduce innovative solutions that enhance development efficiency, quality and system performance. Practical understanding of embedded software development, real-time systems, automotive communication protocols, diagnostics, calibration and HIL testing would be beneficial. Ability to evaluate emerging technologies, improve workflows. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Senior System Design Engineer Birmingham Permanent Competitive Salary + Excellent Benefits A leading advanced engineering and technology organisation is seeking a Senior System Design Engineer to join its growing power electronics and innovation team in Birmingham. This is an opportunity to work on cutting-edge power conversion systems across sectors including electric vehicles, transportation, and renewable energy. The business is investing heavily in next-generation technologies and offers engineers the chance to contribute to highly innovative projects within a collaborative international environment. The successful candidate will play a key role in the design, simulation, integration, and optimisation of advanced power electronics converter systems, while also supporting the application of AI and generative AI within engineering design processes. The Role You will be responsible for: System design and development of power electronics converter prototypes Requirements analysis, system architecture, simulation, and optimisation System integration, component selection, sourcing, and technical specification definition Integration and validation testing including test planning and technical reviews Supporting technical roadmap development and future technology planning Collaboration with suppliers, customers, universities, and research partners Technical documentation and project archiving Supporting innovation and continuous improvement initiatives across the engineering team What We're Looking For Candidates should have experience in: Power electronics system design and converter development Converter topologies including AC/DC, DC/DC, and DC/AC IGBT or SiC MOSFET-based systems (1200V+) Control loop design, simulation, and testing Thermal analysis, efficiency mapping, and loss analysis Multi-level converter technologies Simulation and engineering tools such as MATLAB, PLECS, CAD, CAE, or Ansys Hardware integration and system-level engineering We're particularly interested in engineers with exposure to: AI or generative AI applications within engineering or design workflows Advanced automotive, rail, renewable energy, or industrial power systems Requirements Degree qualified in Power Electronics, Electrical Engineering, or a related field Ideally 5+ years' industry experience PhD-qualified candidates with relevant commercial experience are also encouraged to apply Strong communication and technical documentation skills Ability to work within multidisciplinary engineering teams This is an excellent opportunity to join a highly respected engineering business delivering innovative technology solutions into global markets. To apply or find out more, please get in touch. Call or email
28/05/2026
Full time
Senior System Design Engineer Birmingham Permanent Competitive Salary + Excellent Benefits A leading advanced engineering and technology organisation is seeking a Senior System Design Engineer to join its growing power electronics and innovation team in Birmingham. This is an opportunity to work on cutting-edge power conversion systems across sectors including electric vehicles, transportation, and renewable energy. The business is investing heavily in next-generation technologies and offers engineers the chance to contribute to highly innovative projects within a collaborative international environment. The successful candidate will play a key role in the design, simulation, integration, and optimisation of advanced power electronics converter systems, while also supporting the application of AI and generative AI within engineering design processes. The Role You will be responsible for: System design and development of power electronics converter prototypes Requirements analysis, system architecture, simulation, and optimisation System integration, component selection, sourcing, and technical specification definition Integration and validation testing including test planning and technical reviews Supporting technical roadmap development and future technology planning Collaboration with suppliers, customers, universities, and research partners Technical documentation and project archiving Supporting innovation and continuous improvement initiatives across the engineering team What We're Looking For Candidates should have experience in: Power electronics system design and converter development Converter topologies including AC/DC, DC/DC, and DC/AC IGBT or SiC MOSFET-based systems (1200V+) Control loop design, simulation, and testing Thermal analysis, efficiency mapping, and loss analysis Multi-level converter technologies Simulation and engineering tools such as MATLAB, PLECS, CAD, CAE, or Ansys Hardware integration and system-level engineering We're particularly interested in engineers with exposure to: AI or generative AI applications within engineering or design workflows Advanced automotive, rail, renewable energy, or industrial power systems Requirements Degree qualified in Power Electronics, Electrical Engineering, or a related field Ideally 5+ years' industry experience PhD-qualified candidates with relevant commercial experience are also encouraged to apply Strong communication and technical documentation skills Ability to work within multidisciplinary engineering teams This is an excellent opportunity to join a highly respected engineering business delivering innovative technology solutions into global markets. To apply or find out more, please get in touch. Call or email
Embedded Software Engineer - Salary to £65,000 We are looking for experienced Embedded Software Engineers to join an innovative engineering team based in Cambridge. The role involves developing software for a new range of cutting edge automotive electronic control units as part of a dynamic and collaborative team. This opportunity offers a chance to contribute to exciting projects while benefiting from the stability of a well established parent company. Responsibilities Design, develop, and maintain embedded software for prototype and production systems, adhering to internal and international standards. Engage in all stages of embedded software development, including requirements gathering, design, implementation, testing, and validation (both simulation and hardware based). Contribute to peer review processes and maintain reusable software library blocks. Provide on site customer support for calibration, troubleshooting, and code corrections. Ensure compliance with safety, security, and quality standards while identifying and implementing process improvements. Collaborate closely with hardware and systems engineering teams. Essential Experience A degree in Software Engineering, Computer Engineering, or related fields. Strong background in formal software development for embedded systems (automotive, aerospace, or medical sectors). Proficiency in C programming for safety critical applications, including adherence to MISRA guidelines. Hands on experience with 32 bit CPUs, real time programming, and debugging tools like CANalyzer, CANoe, and VFlash. Familiarity with AUTOSAR systems, particularly Vector MICROSAR and the DaVinci toolchain. Desirable Skills Knowledge of MATLAB and Simulink model development. Exposure to unit testing, SIL/HIL testing, and system level understanding of power electronics and motor controllers. Awareness of ISO 26262 standards and ASIL risk classifications. Location Cambridge, UK This is an excellent opportunity for engineers seeking to make a meaningful impact in a forward thinking environment while contributing to high profile automotive projects. TEC Partners are a recruitment agency dedicated to finding top talent for leading businesses. Get in touch with Daniel Cordy for more information.
27/05/2026
Full time
Embedded Software Engineer - Salary to £65,000 We are looking for experienced Embedded Software Engineers to join an innovative engineering team based in Cambridge. The role involves developing software for a new range of cutting edge automotive electronic control units as part of a dynamic and collaborative team. This opportunity offers a chance to contribute to exciting projects while benefiting from the stability of a well established parent company. Responsibilities Design, develop, and maintain embedded software for prototype and production systems, adhering to internal and international standards. Engage in all stages of embedded software development, including requirements gathering, design, implementation, testing, and validation (both simulation and hardware based). Contribute to peer review processes and maintain reusable software library blocks. Provide on site customer support for calibration, troubleshooting, and code corrections. Ensure compliance with safety, security, and quality standards while identifying and implementing process improvements. Collaborate closely with hardware and systems engineering teams. Essential Experience A degree in Software Engineering, Computer Engineering, or related fields. Strong background in formal software development for embedded systems (automotive, aerospace, or medical sectors). Proficiency in C programming for safety critical applications, including adherence to MISRA guidelines. Hands on experience with 32 bit CPUs, real time programming, and debugging tools like CANalyzer, CANoe, and VFlash. Familiarity with AUTOSAR systems, particularly Vector MICROSAR and the DaVinci toolchain. Desirable Skills Knowledge of MATLAB and Simulink model development. Exposure to unit testing, SIL/HIL testing, and system level understanding of power electronics and motor controllers. Awareness of ISO 26262 standards and ASIL risk classifications. Location Cambridge, UK This is an excellent opportunity for engineers seeking to make a meaningful impact in a forward thinking environment while contributing to high profile automotive projects. TEC Partners are a recruitment agency dedicated to finding top talent for leading businesses. Get in touch with Daniel Cordy for more information.
About the role As a Principal Systems Engineer at JCB Compact Products, you will lead the definition, architecture and integration of complex control systems across our off highway machinery portfolio. You'll play a central role in shaping system behaviour, developing robust architectures and ensuring end to end requirements traceability from concept through to production. This is a senior technical leadership position, influencing product strategy, guiding multidisciplinary teams and driving best practice systems engineering across electrical, mechanical, software and hydraulic domains. Your expertise in model based development and systems integration will be critical in delivering advanced, reliable and operator focused machine functionality. What does this role involve day to day? Leading full machine systems architecture definition across electronic, hydraulic, mechanical and operator interaction domains. Performing functional decomposition and allocating behaviours across ECUs, sensors, actuators and subsystems. Driving early stage concept modelling and architecture development using MBSE methodologies. Owning requirements flow down and traceability using tools such as JAMA, ensuring alignment from stakeholder need through to verified system function. Defining system level requirements, interface specifications and operational scenarios. Developing system level behavioural models in MATLAB/Simulink or SysML based tools to support concept evaluation, control strategy definition and system validation. Guiding model based control software development to ensure alignment with system intent. Defining system integration strategies including SIL, HIL, bench testing and machine level validation. Leading system level issue diagnosis using CAN tools such as CANalyzer or similar logging systems. Ensuring alignment between virtual simulation and physical machine behaviour across development phases. Developing system safety concepts and functional safety architectures in accordance with standards such as ISO 13849, ISO 19014, ISO 25119 or ISO 26262. Supporting hazard analyses, DFMEAs, risk assessments and safety case documentation. Providing technical leadership across electrical, software, hydraulics and mechanical engineering teams. Leading design reviews, driving cross functional decision making and promoting best practice systems engineering and MBSE adoption. Coaching and mentoring engineers in requirements engineering, modelling and systematic problem solving. This will be suited to you if You have extensive experience in systems engineering within off highway, automotive, aerospace, industrial machinery, robotics or similar mechatronic environments. You're highly skilled in model based development using MATLAB/Simulink or SysML for system architecture and behavioural modelling. You have hands on experience with requirements management tools (e.g., JAMA) and issue tracking platforms such as JIRA. You're proficient with CAN based diagnostic tools (CANalyzer, CANoe) and vehicle logging workflows. You understand distributed control systems, ECU architectures, sensor and actuator integration, powertrain systems and safety related features. You bring strong domain knowledge of off highway machinery such as hydraulics, propulsion, driveline and work function systems. You're familiar with environmental and reliability considerations, including EMC, vibration, contamination and thermal challenges. You have a proven ability to lead technical direction, influence system decisions and align cross functional teams. You possess excellent communication skills and a structured, systems thinking mindset. You're experienced in mentoring engineers and raising organisational capability in systems engineering practices. You hold (or are working toward) a degree in Systems, Electrical, Mechanical, Mechatronics or Control Engineering. Experience with MBSE tools (e.g., Cameo, Enterprise Architect), hydraulics, embedded C/C++, or electrified powertrains is advantageous. What happens next? Ordinarily, our Resourcing Team reviews and shortlists CVs. If shortlisted, you'll speak to one of our Recruiters to discuss the role further. Our interview process usually consists of an initial team's interview followed by an in person interview. We'll keep in touch throughout the process but if you have any questions, please get in touch at What's in it for you? This is your chance to join a company that values expertise not only in rewards but also in real employee care. At JCB you don't just get a competitive salary, 33 days' holiday and access to our company pension-you can also use our onsite gym, in house doctor and dentist. We have an ULEV car scheme available for our employees too. Then there's the JCB Rewards Hub, which gives you discounts with high street retailers. Feel like biking to work? There's our Cycle to Work Scheme. We value diversity and welcome applications from candidates from all backgrounds. We're committed to ensuring our recruitment process is fair and inclusive. If you face any accessibility challenges with your online application and require additional support, you have the option of speaking to a member of our Recruitment Team who can support you to complete an application in an alternative format. If you would benefit from this support, please email , and a member of the team will be in touch. Recruitment Agencies: JCB does not accept any speculative approaches to present candidates for advertised vacancies. JCB does not accept any speculative approaches to present candidates for advertised vacancies.
24/05/2026
Full time
About the role As a Principal Systems Engineer at JCB Compact Products, you will lead the definition, architecture and integration of complex control systems across our off highway machinery portfolio. You'll play a central role in shaping system behaviour, developing robust architectures and ensuring end to end requirements traceability from concept through to production. This is a senior technical leadership position, influencing product strategy, guiding multidisciplinary teams and driving best practice systems engineering across electrical, mechanical, software and hydraulic domains. Your expertise in model based development and systems integration will be critical in delivering advanced, reliable and operator focused machine functionality. What does this role involve day to day? Leading full machine systems architecture definition across electronic, hydraulic, mechanical and operator interaction domains. Performing functional decomposition and allocating behaviours across ECUs, sensors, actuators and subsystems. Driving early stage concept modelling and architecture development using MBSE methodologies. Owning requirements flow down and traceability using tools such as JAMA, ensuring alignment from stakeholder need through to verified system function. Defining system level requirements, interface specifications and operational scenarios. Developing system level behavioural models in MATLAB/Simulink or SysML based tools to support concept evaluation, control strategy definition and system validation. Guiding model based control software development to ensure alignment with system intent. Defining system integration strategies including SIL, HIL, bench testing and machine level validation. Leading system level issue diagnosis using CAN tools such as CANalyzer or similar logging systems. Ensuring alignment between virtual simulation and physical machine behaviour across development phases. Developing system safety concepts and functional safety architectures in accordance with standards such as ISO 13849, ISO 19014, ISO 25119 or ISO 26262. Supporting hazard analyses, DFMEAs, risk assessments and safety case documentation. Providing technical leadership across electrical, software, hydraulics and mechanical engineering teams. Leading design reviews, driving cross functional decision making and promoting best practice systems engineering and MBSE adoption. Coaching and mentoring engineers in requirements engineering, modelling and systematic problem solving. This will be suited to you if You have extensive experience in systems engineering within off highway, automotive, aerospace, industrial machinery, robotics or similar mechatronic environments. You're highly skilled in model based development using MATLAB/Simulink or SysML for system architecture and behavioural modelling. You have hands on experience with requirements management tools (e.g., JAMA) and issue tracking platforms such as JIRA. You're proficient with CAN based diagnostic tools (CANalyzer, CANoe) and vehicle logging workflows. You understand distributed control systems, ECU architectures, sensor and actuator integration, powertrain systems and safety related features. You bring strong domain knowledge of off highway machinery such as hydraulics, propulsion, driveline and work function systems. You're familiar with environmental and reliability considerations, including EMC, vibration, contamination and thermal challenges. You have a proven ability to lead technical direction, influence system decisions and align cross functional teams. You possess excellent communication skills and a structured, systems thinking mindset. You're experienced in mentoring engineers and raising organisational capability in systems engineering practices. You hold (or are working toward) a degree in Systems, Electrical, Mechanical, Mechatronics or Control Engineering. Experience with MBSE tools (e.g., Cameo, Enterprise Architect), hydraulics, embedded C/C++, or electrified powertrains is advantageous. What happens next? Ordinarily, our Resourcing Team reviews and shortlists CVs. If shortlisted, you'll speak to one of our Recruiters to discuss the role further. Our interview process usually consists of an initial team's interview followed by an in person interview. We'll keep in touch throughout the process but if you have any questions, please get in touch at What's in it for you? This is your chance to join a company that values expertise not only in rewards but also in real employee care. At JCB you don't just get a competitive salary, 33 days' holiday and access to our company pension-you can also use our onsite gym, in house doctor and dentist. We have an ULEV car scheme available for our employees too. Then there's the JCB Rewards Hub, which gives you discounts with high street retailers. Feel like biking to work? There's our Cycle to Work Scheme. We value diversity and welcome applications from candidates from all backgrounds. We're committed to ensuring our recruitment process is fair and inclusive. If you face any accessibility challenges with your online application and require additional support, you have the option of speaking to a member of our Recruitment Team who can support you to complete an application in an alternative format. If you would benefit from this support, please email , and a member of the team will be in touch. Recruitment Agencies: JCB does not accept any speculative approaches to present candidates for advertised vacancies. JCB does not accept any speculative approaches to present candidates for advertised vacancies.
Keysight Technologies SAles Spain SL.
Edinburgh, Midlothian
Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our 15,000 employees create world class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Keysight's ADCS team delivers tailored test and measurement solutions to leading Aerospace and Defense customers, with over 20 years of profitable growth. Operating globally, we collaborate closely with customers to design and implement custom hardware/software systems - primarily in radar, satellite, and mission critical domains. From initial inquiry to final delivery, our multi disciplinary team engages across engineering, sales, and services to turn complex technical requirements into high impact solutions that drive customer success and business growth. Responsibilities You are a motivated and curious Software Engineer with a background in Electronics Engineering, Computer Science, or a closely related technical discipline. You have a strong foundation in digital and RF systems, and you're keen to apply these skills to real world, mission critical aerospace and defense challenges. You will be joining our team in Edinburgh, with strong connections to the existing Loveland site and the newly formed Malaga site. You enjoy solving complex technical problems and learning how hardware and software interact within embedded, RF and automated test systems. Whether debugging an FPGA interface, integrating low level software, or developing tools to support system level verification, you bring a hands on, analytical mindset to everything you do. You are enthusiastic about working in a multidisciplinary engineering environment, collaborating with experts in software, electronics, RF interfacing and measurements, and system architecture. You communicate clearly, ask thoughtful questions, and take ownership of your work. Most importantly, you are excited by the opportunity to contribute to the work our team does, while supporting customer programs delivering high performance custom test systems. What we offer: Performance Related Salaries: Starting salaries commensurate with background / skills including relevant experience. Regular salary reviews with merit based increases. Flexible Working Hours: Allows you to adjust your work schedule to fit in with your personal life. Pension Plan, Life Assurance, Healthcare, Employee Assistance Program Holidays: Scotland - 28 days annual holiday plus 5 statutory days Qualifications Bachelors or Masters Degree in Computer Science, Electronics Engineering or equivalent Demonstrated experience of 5+ years in a relevant field Highly proficient in at least one of (and familiar with at least two of) C, C++, C#, Python programming languages Awareness and/or experience of embedded or real time software Experience of hardware software integration, test automation and system verification Experience of test instrumentation and associated measurements Experience of working with incomplete, ambiguous specifications and tenaciously working through these Working knowledge of RF signals and systems Use of Windows development environments Use of version control tools (specifically Git) Keysight is an Equal Opportunity Employer
23/05/2026
Full time
Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our 15,000 employees create world class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Keysight's ADCS team delivers tailored test and measurement solutions to leading Aerospace and Defense customers, with over 20 years of profitable growth. Operating globally, we collaborate closely with customers to design and implement custom hardware/software systems - primarily in radar, satellite, and mission critical domains. From initial inquiry to final delivery, our multi disciplinary team engages across engineering, sales, and services to turn complex technical requirements into high impact solutions that drive customer success and business growth. Responsibilities You are a motivated and curious Software Engineer with a background in Electronics Engineering, Computer Science, or a closely related technical discipline. You have a strong foundation in digital and RF systems, and you're keen to apply these skills to real world, mission critical aerospace and defense challenges. You will be joining our team in Edinburgh, with strong connections to the existing Loveland site and the newly formed Malaga site. You enjoy solving complex technical problems and learning how hardware and software interact within embedded, RF and automated test systems. Whether debugging an FPGA interface, integrating low level software, or developing tools to support system level verification, you bring a hands on, analytical mindset to everything you do. You are enthusiastic about working in a multidisciplinary engineering environment, collaborating with experts in software, electronics, RF interfacing and measurements, and system architecture. You communicate clearly, ask thoughtful questions, and take ownership of your work. Most importantly, you are excited by the opportunity to contribute to the work our team does, while supporting customer programs delivering high performance custom test systems. What we offer: Performance Related Salaries: Starting salaries commensurate with background / skills including relevant experience. Regular salary reviews with merit based increases. Flexible Working Hours: Allows you to adjust your work schedule to fit in with your personal life. Pension Plan, Life Assurance, Healthcare, Employee Assistance Program Holidays: Scotland - 28 days annual holiday plus 5 statutory days Qualifications Bachelors or Masters Degree in Computer Science, Electronics Engineering or equivalent Demonstrated experience of 5+ years in a relevant field Highly proficient in at least one of (and familiar with at least two of) C, C++, C#, Python programming languages Awareness and/or experience of embedded or real time software Experience of hardware software integration, test automation and system verification Experience of test instrumentation and associated measurements Experience of working with incomplete, ambiguous specifications and tenaciously working through these Working knowledge of RF signals and systems Use of Windows development environments Use of version control tools (specifically Git) Keysight is an Equal Opportunity Employer
Senior Software Engineer - Core Services London About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do. We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI. You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering. What You Will Do Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows. Architect and build fine granular role based and attribute based access control (RBAC/ABAC) models that scale across multi tenant environments. Own the platform's permissions layer end to end: from policy definition and enforcement through auditing and compliance reporting. Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments. Define and enforce security standards across APIs and services, including schema governance, data segregation, and least privilege access patterns. Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi tenant environment. Contribute to the design of multi service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows. Drive best practices in CI/CD, automated testing, observability, and infrastructure as code. Build and maintain deployment pipelines, including zero downtime and multi service deployments. Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches. Mentor junior and mid level engineers, facilitate technical discussions, and build consensus around architectural decisions. What you bring to the table A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team. Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python. Authentication and identity expertise, hands on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD). Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy as code frameworks (e.g., OPA/Rego, Cedar) in production multi tenant systems. Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable. Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters. API and service design maturity, experience designing multi service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward compatible schemas, ACLs, ambassador sidecars). Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation. Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows. CI/CD and deployment expertise, hands on experience building and optimising CI/CD pipelines, including multi service and zero downtime deployments across numerous customer environments. Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications. AI native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty. Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++. Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts). Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on premises, and air gapped environments. Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
22/05/2026
Full time
Senior Software Engineer - Core Services London About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do. We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI. You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering. What You Will Do Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows. Architect and build fine granular role based and attribute based access control (RBAC/ABAC) models that scale across multi tenant environments. Own the platform's permissions layer end to end: from policy definition and enforcement through auditing and compliance reporting. Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments. Define and enforce security standards across APIs and services, including schema governance, data segregation, and least privilege access patterns. Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi tenant environment. Contribute to the design of multi service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows. Drive best practices in CI/CD, automated testing, observability, and infrastructure as code. Build and maintain deployment pipelines, including zero downtime and multi service deployments. Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches. Mentor junior and mid level engineers, facilitate technical discussions, and build consensus around architectural decisions. What you bring to the table A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team. Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python. Authentication and identity expertise, hands on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD). Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy as code frameworks (e.g., OPA/Rego, Cedar) in production multi tenant systems. Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable. Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters. API and service design maturity, experience designing multi service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward compatible schemas, ACLs, ambassador sidecars). Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation. Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows. CI/CD and deployment expertise, hands on experience building and optimising CI/CD pipelines, including multi service and zero downtime deployments across numerous customer environments. Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications. AI native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty. Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture. Ideally Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++. Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts). Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on premises, and air gapped environments. Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Computer Futures / SThree Group
Oxford, Oxfordshire
Senior ECU & Electronics Hardware Engineer Advanced EV, Battery & Powertrain Systems Overview We are recruiting a Senior ECU & Electronics Hardware Engineer to join a established engineering organisation developing next generation electric powertrain and battery technologies. This role sits at the intersection of advanced EV systems and motorsport pace engineering, delivering real hardware into real testing and deployment environments. This is not a software only or late stage production role. You will design, build, test and own ECU level hardware used within battery management systems, powertrain control and supervisory electronics. The work is hands on, technically demanding and safety critical, supported by long term investment and organisational scale. The Role You will take end to end ownership of ECU and electronic control hardware, from early concept and architecture through schematic, PCB design, bring up, validation and production release. Alongside hardware delivery, you will play a key role in developing and supporting Hardware in the Loop (HIL) systems used to validate EV battery and powertrain architectures. The environment is fast paced and prototype led, but with the structure, funding and stability of a major global engineering organisation. Engineers in this team work closely with firmware, software, systems and test teams to deliver robust, high performance solutions. Key Responsibilities Lead ECU and electronic hardware design from concept through to production Design mixed signal, safety critical control and interface boards Perform circuit design, simulation, schematic capture and PCB layout oversight Own board bring up, debugging and fault diagnosis using lab equipment Develop, support and debug ECU connected HIL rigs Support battery, powertrain and control hardware during lab, rig and test activities Apply high voltage aware design principles, including isolation, creepage and clearance Select components with consideration for EMC, thermal and reliability requirements Define and execute hardware test strategies, including EVT, DVT and PVT Work closely with embedded firmware and software engineers to deliver integrated systems Mentor junior engineers and contribute to continuous improvement of team processes Technical Requirements ECU & Electronics Hardware Proven experience designing ECU level electronics hardware Mixed signal, safety critical board design experience End to end ownership from schematic through PCB and validation Strong hands on lab capability; comfortable debugging your own designs EV, Battery & Powertrain Systems Experience with BMS hardware, battery control units or EV powertrain electronics Understanding of HV battery systems, charging and power electronics Exposure to high voltage PCB design practices Tools & Practical Skills PCB design experience using Altium, Cadence, Zuken or Mentor Confident use of oscilloscopes, logic analysers and bench equipment Practical soldering, rework and prototype modification skills Embedded & ECU Interfaces Experience working with microcontrollers or processors Communications: CAN, SPI, ISO SPI, I C, UART CAN bus design, termination and EMI mitigation Safety, Quality & Standards Understanding of EMC and EMI mitigation Grounding strategies and transient protection Familiarity with functional safety principles Experience applying DFMEA and hardware verification methods Exposure to automotive or motorsport grade design standards Ideal Background Automotive, EV, motorsport or advanced engineering environments Prototype heavy, fast moving programmes Experience delivering hardware against demanding technical schedules Seniority Expectations Leads designs end to end with minimal supervision Comfortable making architectural and technical trade offs Drives design reviews and delivery timelines Acts as a mentor and technical reference for others Takes ownership for outcomes, not just tasks Package & Benefits (UK) Competitive base salary: £60,000-£70,000 (higher for Lead/Principal profiles) Annual bonus scheme Pension with strong employer contribution, increasing with service Share / SIP scheme Private medical insurance and health cash plan Life assurance and income protection Free on site gym and discounted national memberships Electric car salary sacrifice scheme 26 days holiday plus bank holidays, with option to buy additional days Working Pattern Predominantly on site role due to lab, rig and prototype requirements Typically 4-5 days on site, with limited flexibility for remote design or admin work Occasional extended hours aligned to testing or integration milestones Minimal travel, primarily UK based test facilities Why This Role This position offers genuine ECU hardware ownership, advanced EV and battery exposure, and the pace of motorsport engineering combined with long term stability and investment. It is suited to engineers who want to design, touch, test and improve real hardware - not manage it at arm's length.
22/05/2026
Full time
Senior ECU & Electronics Hardware Engineer Advanced EV, Battery & Powertrain Systems Overview We are recruiting a Senior ECU & Electronics Hardware Engineer to join a established engineering organisation developing next generation electric powertrain and battery technologies. This role sits at the intersection of advanced EV systems and motorsport pace engineering, delivering real hardware into real testing and deployment environments. This is not a software only or late stage production role. You will design, build, test and own ECU level hardware used within battery management systems, powertrain control and supervisory electronics. The work is hands on, technically demanding and safety critical, supported by long term investment and organisational scale. The Role You will take end to end ownership of ECU and electronic control hardware, from early concept and architecture through schematic, PCB design, bring up, validation and production release. Alongside hardware delivery, you will play a key role in developing and supporting Hardware in the Loop (HIL) systems used to validate EV battery and powertrain architectures. The environment is fast paced and prototype led, but with the structure, funding and stability of a major global engineering organisation. Engineers in this team work closely with firmware, software, systems and test teams to deliver robust, high performance solutions. Key Responsibilities Lead ECU and electronic hardware design from concept through to production Design mixed signal, safety critical control and interface boards Perform circuit design, simulation, schematic capture and PCB layout oversight Own board bring up, debugging and fault diagnosis using lab equipment Develop, support and debug ECU connected HIL rigs Support battery, powertrain and control hardware during lab, rig and test activities Apply high voltage aware design principles, including isolation, creepage and clearance Select components with consideration for EMC, thermal and reliability requirements Define and execute hardware test strategies, including EVT, DVT and PVT Work closely with embedded firmware and software engineers to deliver integrated systems Mentor junior engineers and contribute to continuous improvement of team processes Technical Requirements ECU & Electronics Hardware Proven experience designing ECU level electronics hardware Mixed signal, safety critical board design experience End to end ownership from schematic through PCB and validation Strong hands on lab capability; comfortable debugging your own designs EV, Battery & Powertrain Systems Experience with BMS hardware, battery control units or EV powertrain electronics Understanding of HV battery systems, charging and power electronics Exposure to high voltage PCB design practices Tools & Practical Skills PCB design experience using Altium, Cadence, Zuken or Mentor Confident use of oscilloscopes, logic analysers and bench equipment Practical soldering, rework and prototype modification skills Embedded & ECU Interfaces Experience working with microcontrollers or processors Communications: CAN, SPI, ISO SPI, I C, UART CAN bus design, termination and EMI mitigation Safety, Quality & Standards Understanding of EMC and EMI mitigation Grounding strategies and transient protection Familiarity with functional safety principles Experience applying DFMEA and hardware verification methods Exposure to automotive or motorsport grade design standards Ideal Background Automotive, EV, motorsport or advanced engineering environments Prototype heavy, fast moving programmes Experience delivering hardware against demanding technical schedules Seniority Expectations Leads designs end to end with minimal supervision Comfortable making architectural and technical trade offs Drives design reviews and delivery timelines Acts as a mentor and technical reference for others Takes ownership for outcomes, not just tasks Package & Benefits (UK) Competitive base salary: £60,000-£70,000 (higher for Lead/Principal profiles) Annual bonus scheme Pension with strong employer contribution, increasing with service Share / SIP scheme Private medical insurance and health cash plan Life assurance and income protection Free on site gym and discounted national memberships Electric car salary sacrifice scheme 26 days holiday plus bank holidays, with option to buy additional days Working Pattern Predominantly on site role due to lab, rig and prototype requirements Typically 4-5 days on site, with limited flexibility for remote design or admin work Occasional extended hours aligned to testing or integration milestones Minimal travel, primarily UK based test facilities Why This Role This position offers genuine ECU hardware ownership, advanced EV and battery exposure, and the pace of motorsport engineering combined with long term stability and investment. It is suited to engineers who want to design, touch, test and improve real hardware - not manage it at arm's length.
Overview Expleois a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe. As part of our continued support to a major customer in the Automotive industry, we are seeking an experienced ADAS Integration Test & Calibration Engineer to support the delivery, validation, and optimisation of advanced driver assistance systems across vehicle platforms. This role focuses on software-centric and electrical system integration, diagnostics, and calibration, with limited emphasis on mechanical testing. The successful candidate will have strong experience in automotive electronics, in-vehicle networks, ADAS sensor technologies, and system-level validation processes. The position requires an engineer who can operate across the V-Model, from requirements refinement through to test execution, analysis, and issue resolution. Responsibilities Plan, execute, and document ADAS system integration, test, and calibration activities across rigs, simulation environments, and vehicle platforms. Perform static and dynamic calibration procedures for camera, radar, LiDAR, and ultrasonic sensors using OEM-specified tools and alignment methods. Conduct system-level testing using CAN, LIN, FlexRay, and Automotive Ethernet diagnostic environments (e.g., CANalyzer, CANoe, INCA, CRETA, PCAN). Analyse data logs, identify anomalies, support root cause investigations, and liaise with systems, software, and hardware engineering teams to drive fixes. Support software flashing, configuration, parameterisation, and validation of ECU functionalities and ADAS feature behaviours. Contribute to test automation and data analysis using scripting/programming (Python, CAPL, C, MATLAB, Simulink). Maintain accurate documentation of test procedures, calibration steps, defects, and vehicle-level integration outcomes. Provide feedback into the requirements and system definition process, helping refine system specifications based on delivery and testing outcomes. Collaborate with suppliers to support component integration, system validation, and calibration readiness. Support continuous improvement of test methods, tools, and integration workflows across software and electrical domains. Qualifications Bachelor's or Master's degree in Electrical Engineering, Automotive Engineering, Electronic Engineering, Computer Science, or a related discipline. Demonstrated experience in ADAS system testing, calibration, or vehicle electrical integration. Valid UK driving licence, ideally with experience in structured road testing, proving ground testing, or controlled calibration drive cycles. Professional training or accreditations in ADAS calibration, FMEA, Failure Mode Avoidance, or requirements engineering are advantageous. Essential skills Strong knowledge of electrical systems, low-voltage vehicle architectures, and in-vehicle networking (CAN, LIN, FlexRay, Ethernet). Hands-on experience using automotive diagnostic and test tools (CANalyzer, CANoe, INCA, CRETA, PCAN Explorer). Proven capability in ADAS system testing, sensor data interpretation, and calibration (camera, radar, LiDAR, ultrasonic). Proficiency with scripting or programming for test automation and data analysis (Python, CAPL, C, MATLAB). Ability to interpret system requirements, derive test cases, and validate software functionality. Strong analytical and root-cause-analysis skills with attention to detail. Experience working with suppliers and managing system or component delivery activities. Clear technical communication, documentation, and cross-functional collaboration skills. Desired skills Experience with Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), or model-based simulation environments (e.g., dSPACE, CANoe SIL, AVSimulation). Familiarity with MBSE approaches and tools. Exposure to VHDL/HDL or digital electronics design principles. Experience with system FMEA, Control Plans, or structured requirements management tools (e.g., Polarion, DOORS). Experience with cruise control, ACC, or other feature-level ADAS/ADAS+ domain systems. Familiarity with automated test development or model-based calibration methods. Working knowledge of ISO 26262, Euro NCAP protocols, or functional safety processes. Experience This role is suited to engineers who enjoy hands on integration work, complex system debugging, and deep interaction with cross functional teams. Work may involve occasional travel to proving grounds, supplier sites, or customer facilities. The environment is fast paced and delivery focused, with opportunities to influence system design, requirements, and integration methodologies. Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges. We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects. ExpleoAcademy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses. Competitive company benefits. Always working as one team, our people are not afraid to think big and challenge the status quo. Disability Confident Employer As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible. Communicating and promoting vacancies. Offering an interview to disabled people who meet the minimum criteria for the job. Anticipating and providing reasonable adjustments as required. Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
19/05/2026
Full time
Overview Expleois a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe. As part of our continued support to a major customer in the Automotive industry, we are seeking an experienced ADAS Integration Test & Calibration Engineer to support the delivery, validation, and optimisation of advanced driver assistance systems across vehicle platforms. This role focuses on software-centric and electrical system integration, diagnostics, and calibration, with limited emphasis on mechanical testing. The successful candidate will have strong experience in automotive electronics, in-vehicle networks, ADAS sensor technologies, and system-level validation processes. The position requires an engineer who can operate across the V-Model, from requirements refinement through to test execution, analysis, and issue resolution. Responsibilities Plan, execute, and document ADAS system integration, test, and calibration activities across rigs, simulation environments, and vehicle platforms. Perform static and dynamic calibration procedures for camera, radar, LiDAR, and ultrasonic sensors using OEM-specified tools and alignment methods. Conduct system-level testing using CAN, LIN, FlexRay, and Automotive Ethernet diagnostic environments (e.g., CANalyzer, CANoe, INCA, CRETA, PCAN). Analyse data logs, identify anomalies, support root cause investigations, and liaise with systems, software, and hardware engineering teams to drive fixes. Support software flashing, configuration, parameterisation, and validation of ECU functionalities and ADAS feature behaviours. Contribute to test automation and data analysis using scripting/programming (Python, CAPL, C, MATLAB, Simulink). Maintain accurate documentation of test procedures, calibration steps, defects, and vehicle-level integration outcomes. Provide feedback into the requirements and system definition process, helping refine system specifications based on delivery and testing outcomes. Collaborate with suppliers to support component integration, system validation, and calibration readiness. Support continuous improvement of test methods, tools, and integration workflows across software and electrical domains. Qualifications Bachelor's or Master's degree in Electrical Engineering, Automotive Engineering, Electronic Engineering, Computer Science, or a related discipline. Demonstrated experience in ADAS system testing, calibration, or vehicle electrical integration. Valid UK driving licence, ideally with experience in structured road testing, proving ground testing, or controlled calibration drive cycles. Professional training or accreditations in ADAS calibration, FMEA, Failure Mode Avoidance, or requirements engineering are advantageous. Essential skills Strong knowledge of electrical systems, low-voltage vehicle architectures, and in-vehicle networking (CAN, LIN, FlexRay, Ethernet). Hands-on experience using automotive diagnostic and test tools (CANalyzer, CANoe, INCA, CRETA, PCAN Explorer). Proven capability in ADAS system testing, sensor data interpretation, and calibration (camera, radar, LiDAR, ultrasonic). Proficiency with scripting or programming for test automation and data analysis (Python, CAPL, C, MATLAB). Ability to interpret system requirements, derive test cases, and validate software functionality. Strong analytical and root-cause-analysis skills with attention to detail. Experience working with suppliers and managing system or component delivery activities. Clear technical communication, documentation, and cross-functional collaboration skills. Desired skills Experience with Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), or model-based simulation environments (e.g., dSPACE, CANoe SIL, AVSimulation). Familiarity with MBSE approaches and tools. Exposure to VHDL/HDL or digital electronics design principles. Experience with system FMEA, Control Plans, or structured requirements management tools (e.g., Polarion, DOORS). Experience with cruise control, ACC, or other feature-level ADAS/ADAS+ domain systems. Familiarity with automated test development or model-based calibration methods. Working knowledge of ISO 26262, Euro NCAP protocols, or functional safety processes. Experience This role is suited to engineers who enjoy hands on integration work, complex system debugging, and deep interaction with cross functional teams. Work may involve occasional travel to proving grounds, supplier sites, or customer facilities. The environment is fast paced and delivery focused, with opportunities to influence system design, requirements, and integration methodologies. Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges. We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects. ExpleoAcademy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses. Competitive company benefits. Always working as one team, our people are not afraid to think big and challenge the status quo. Disability Confident Employer As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible. Communicating and promoting vacancies. Offering an interview to disabled people who meet the minimum criteria for the job. Anticipating and providing reasonable adjustments as required. Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
Overview Expleois a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe. An exciting opportunity has arisen for a HiL Development & Test Engineer to support the development, integration, and validation of advanced automotive systems within a cutting edge Hardware-in-the-Loop (HiL/XiL) environment. This role focuses on the design, configuration, delivery, and maintenance of real time XiL test environments ranging from single ECU setups through to complex multi-ECU architectures incorporating up to 30 ECUs in the loop. The successful candidate will contribute to the validation of Advanced Driver Assistance Systems (ADAS) and Advanced Automated Driving (AAD) features through both signal-based and scenario-based testing methodologies. Working within a highly collaborative engineering environment, the engineer will support the delivery of state of the art real time simulation platforms, ensuring compliance with modern automotive testing and safety standards including ASAM OpenX and ISO 26262. Responsibilities HiL System Development & Integration Design, configure, develop, and maintain Hardware-in-the-Loop (HiL/XiL) test systems for automotive electronic and software validation. Support XiL environments of varying complexity, from standalone ECU validation through to large-scale multi-ECU system integration. Configure and integrate dSPACE SCALEXIO-based HiL systems for closed-loop testing applications. Develop and maintain simulation environments for signal-based and scenario-based validation activities. Configure communication networks, bus systems, and ECU interfaces for integrated testing environments. Test Automation & Scenario-Based Validation Develop automation frameworks to support repeatable and scalable HiL testing workflows. Implement and execute scenario-based validation strategies for ADAS/AAD systems. Integrate driving simulation tools and synchronised scenario execution across simulation and hardware platforms. Support deterministic and real-time execution of automated test cases. Develop and maintain automated test scripts and validation sequences using industry-standard toolchains. Modelling & Simulation Develop and maintain MATLAB/Simulink models for dSPACE-based systems and communication simulation. Simulate CAN and Automotive Ethernet communication within model-based development environments. Support model integration, validation, and correlation activities across simulation and physical systems. Contribute to development of bespoke simulation capabilities and validation methodologies. Network & Communication Configuration Configure and manage CAN and Automotive Ethernet communication architectures. Perform signal mapping, PDU configuration, and network communication flow analysis. Utilise dSPACE Bus Manager and Ethernet Configuration Tool for: Signal routing Bus configuration Workflow management PDU setup Communication validation Support troubleshooting and debugging of network and communication issues within HiL environments. Qualifications Bachelor's or master's degree in software engineering, Electrical/Electronic Engineering, Automotive Systems, Computer Science, or a related field. Proven experience in automation development, HiL systems, or automotive testing environments. Strong understanding of automotive embedded systems and validation processes. Essential skills Communication Protocols: Strong knowledge of: CAN Automotive Ethernet Experience with: Signal mapping PDU structures Network communication flows HiL Systems & Toolchain: Hands on experience with: dSPACE SCALEXIO ConfigurationDesk dSPACE AutomationDesk Understanding of complete HiL workflows from system setup through to automated validation. Bus Configuration & Network Tools: Experience using: dSPACE Bus Manager Ethernet Configuration Tool Vector CANoe/ CANape Ability to configure, simulate, monitor, and troubleshoot communication networks and ECUs. Automation & Software Skills: Proficiency in: MATLAB/Simulink, Python, CAPL, ECU Test Strong understanding of test automation principles and frameworks. Modelling & Simulation: MATLAB/Simulink modelling for dSPACE and automotive systems. Familiarity with: NV DriveSim, dSPACE ASM, IPG CarMaker or equivalent simulation platforms. Desired skills Knowledge of: ISO 26262 functional safety processes ASAM OpenX standards Deterministic real-time systems Familiarity with cloud-connected or distributed simulation environments. Understanding of automotive software lifecycle and continuous integration/continuous deployment (CI/CD) practices Experience Proven experience in HiL/XiL development and automotive system validation. Experience supporting ADAS, AAD, or autonomous driving feature validation. Experience working with multi-ECU automotive architectures and real-time embedded systems. Practical experience developing and maintaining automated validation environments. Exposure to model-based development (MBD) workflows and simulation-based verification. Experience diagnosing and resolving system integration and communication issues within automotive test environments. Experience working within Agile or structured automotive development processes. Time synchronisation across hardware and simulation platforms Closed-loop ADAS/AAD validation systems Sensor simulation and perception system validation Experience contributing to development of reusable validation frameworks and scalable test architectures Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and ourpeers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects ExpleoAcademy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible Communicating and promoting vacancies Offering an interview to disabled people who meet the minimum criteria for the job Anticipating and providing reasonable adjustments as required Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive
19/05/2026
Full time
Overview Expleois a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe. An exciting opportunity has arisen for a HiL Development & Test Engineer to support the development, integration, and validation of advanced automotive systems within a cutting edge Hardware-in-the-Loop (HiL/XiL) environment. This role focuses on the design, configuration, delivery, and maintenance of real time XiL test environments ranging from single ECU setups through to complex multi-ECU architectures incorporating up to 30 ECUs in the loop. The successful candidate will contribute to the validation of Advanced Driver Assistance Systems (ADAS) and Advanced Automated Driving (AAD) features through both signal-based and scenario-based testing methodologies. Working within a highly collaborative engineering environment, the engineer will support the delivery of state of the art real time simulation platforms, ensuring compliance with modern automotive testing and safety standards including ASAM OpenX and ISO 26262. Responsibilities HiL System Development & Integration Design, configure, develop, and maintain Hardware-in-the-Loop (HiL/XiL) test systems for automotive electronic and software validation. Support XiL environments of varying complexity, from standalone ECU validation through to large-scale multi-ECU system integration. Configure and integrate dSPACE SCALEXIO-based HiL systems for closed-loop testing applications. Develop and maintain simulation environments for signal-based and scenario-based validation activities. Configure communication networks, bus systems, and ECU interfaces for integrated testing environments. Test Automation & Scenario-Based Validation Develop automation frameworks to support repeatable and scalable HiL testing workflows. Implement and execute scenario-based validation strategies for ADAS/AAD systems. Integrate driving simulation tools and synchronised scenario execution across simulation and hardware platforms. Support deterministic and real-time execution of automated test cases. Develop and maintain automated test scripts and validation sequences using industry-standard toolchains. Modelling & Simulation Develop and maintain MATLAB/Simulink models for dSPACE-based systems and communication simulation. Simulate CAN and Automotive Ethernet communication within model-based development environments. Support model integration, validation, and correlation activities across simulation and physical systems. Contribute to development of bespoke simulation capabilities and validation methodologies. Network & Communication Configuration Configure and manage CAN and Automotive Ethernet communication architectures. Perform signal mapping, PDU configuration, and network communication flow analysis. Utilise dSPACE Bus Manager and Ethernet Configuration Tool for: Signal routing Bus configuration Workflow management PDU setup Communication validation Support troubleshooting and debugging of network and communication issues within HiL environments. Qualifications Bachelor's or master's degree in software engineering, Electrical/Electronic Engineering, Automotive Systems, Computer Science, or a related field. Proven experience in automation development, HiL systems, or automotive testing environments. Strong understanding of automotive embedded systems and validation processes. Essential skills Communication Protocols: Strong knowledge of: CAN Automotive Ethernet Experience with: Signal mapping PDU structures Network communication flows HiL Systems & Toolchain: Hands on experience with: dSPACE SCALEXIO ConfigurationDesk dSPACE AutomationDesk Understanding of complete HiL workflows from system setup through to automated validation. Bus Configuration & Network Tools: Experience using: dSPACE Bus Manager Ethernet Configuration Tool Vector CANoe/ CANape Ability to configure, simulate, monitor, and troubleshoot communication networks and ECUs. Automation & Software Skills: Proficiency in: MATLAB/Simulink, Python, CAPL, ECU Test Strong understanding of test automation principles and frameworks. Modelling & Simulation: MATLAB/Simulink modelling for dSPACE and automotive systems. Familiarity with: NV DriveSim, dSPACE ASM, IPG CarMaker or equivalent simulation platforms. Desired skills Knowledge of: ISO 26262 functional safety processes ASAM OpenX standards Deterministic real-time systems Familiarity with cloud-connected or distributed simulation environments. Understanding of automotive software lifecycle and continuous integration/continuous deployment (CI/CD) practices Experience Proven experience in HiL/XiL development and automotive system validation. Experience supporting ADAS, AAD, or autonomous driving feature validation. Experience working with multi-ECU automotive architectures and real-time embedded systems. Practical experience developing and maintaining automated validation environments. Exposure to model-based development (MBD) workflows and simulation-based verification. Experience diagnosing and resolving system integration and communication issues within automotive test environments. Experience working within Agile or structured automotive development processes. Time synchronisation across hardware and simulation platforms Closed-loop ADAS/AAD validation systems Sensor simulation and perception system validation Experience contributing to development of reusable validation frameworks and scalable test architectures Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and ourpeers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects ExpleoAcademy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible Communicating and promoting vacancies Offering an interview to disabled people who meet the minimum criteria for the job Anticipating and providing reasonable adjustments as required Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive
Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note:We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Senior ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. Team Context In this role, you will be vertically embedded in Research, working daily with: Research Scientists who determine the model architectures and methods ML Engineers who implement and develop the models Simulation Data Engineers who are accountable for upstream data pipelines You will have end-to-end responsibilities over the research infrastructure, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably. Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company. What you will do Training Infrastructure Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform. Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization. Build and maintain experiment tracking and observability systems that give researchers clear visibility into training runs, hyperparameter sweeps, and model performance. Data I/O and Performance Solve data loading bottlenecks for large-scale mesh datasets. Optimize data pipelines for efficient I/O from cloud storage, including prefetching, caching, and format optimization. Work with heterogeneous data sources of varying formats and resolutions. Model Serving and Deployment Build serving infrastructure for pre-trained LPMs, supporting both zero shot inference and uncertainty quantification (Monte Carlo Dropout). Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine tuning capabilities. Ensure reproducibility: any model checkpoint should be deployable with consistent behaviour. Platform and Tooling Improve developer experience for the Research team with fast iteration cycles, reliable CI/CD, clear debugging tools. Collaborate with the broader Infrastructure team on shared patterns and standards. What you bring to the table Ability to scope and effectively deliver projects, prioritising activity as needed. Problem solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience building and operating ML infrastructure at scale: Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds Ideally Experience with geometric deep learning or neural operators, architectures that operate on meshes, point clouds, or graphs Background in HPC for simulation engineering, familiarity with how CFD/FEA workflows generate and consume data Experience building model serving infrastructure with latency and throughput requirements Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana) What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
13/05/2026
Full time
Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note:We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Senior ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. Team Context In this role, you will be vertically embedded in Research, working daily with: Research Scientists who determine the model architectures and methods ML Engineers who implement and develop the models Simulation Data Engineers who are accountable for upstream data pipelines You will have end-to-end responsibilities over the research infrastructure, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably. Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company. What you will do Training Infrastructure Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform. Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization. Build and maintain experiment tracking and observability systems that give researchers clear visibility into training runs, hyperparameter sweeps, and model performance. Data I/O and Performance Solve data loading bottlenecks for large-scale mesh datasets. Optimize data pipelines for efficient I/O from cloud storage, including prefetching, caching, and format optimization. Work with heterogeneous data sources of varying formats and resolutions. Model Serving and Deployment Build serving infrastructure for pre-trained LPMs, supporting both zero shot inference and uncertainty quantification (Monte Carlo Dropout). Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine tuning capabilities. Ensure reproducibility: any model checkpoint should be deployable with consistent behaviour. Platform and Tooling Improve developer experience for the Research team with fast iteration cycles, reliable CI/CD, clear debugging tools. Collaborate with the broader Infrastructure team on shared patterns and standards. What you bring to the table Ability to scope and effectively deliver projects, prioritising activity as needed. Problem solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience building and operating ML infrastructure at scale: Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds Ideally Experience with geometric deep learning or neural operators, architectures that operate on meshes, point clouds, or graphs Background in HPC for simulation engineering, familiarity with how CFD/FEA workflows generate and consume data Experience building model serving infrastructure with latency and throughput requirements Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana) What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Job description: WHAT TO EXPECT We are looking for a Lead Software Tools Engineer to work within the Data Analytics Toolset Team, the team are responsible for supporting the Propulsion Controls department with the development of propulsion calibration, simulation toolsets, processes and procedures for streamlining calibration development, data analytics and improving working relationships with suppliers. As a Lead Software Tools Engineer, you must possess the ability to future-proof the software using a forward-thinking approach and understanding the companywide vision that is essential to maintaining and improving the current toolsets whilst developing new features and functions for a constantly changing environment. The team are leading simulation, desktop and cloud-based calibration activities internally and externally with major suppliers through the use of Matlab, Simulink and Python-based toolsets. Key Accountabilities and Responsibilities Develop and agree on what desktop-based toolsets to import, visualize, check and improve data efficiency through the calibration teams Manage and utilize CAE data to create vehicle models that improve desktop calibrations Experience and or knowledge in transmission, hybrid calibration, controls and software development, powertrain driveline systems and controls Development of desktop calibration application with cloud-based backend performing big data scale processing and machine learning Experience and or knowledge of modern data analytics, programming and visualization Support the vision for the future of data-driven engineering within propulsion controls - from the body of knowledge through to data analysis, visualization and feedback for continuous improvement WHAT YOU'LL NEED Understands the importance of data and its analysis in the engineering life cycle - a technical mindset that strives for objective over subjective decisions with data-driven solutions A passion for the automotive industry and strong project management capabilities with excellent execution skills and the ability to multitask Comfortable challenging with strong influencing and engagement skills - able to challenge existing thinking positively whilst building credibility and trust through experience and personal style A resilient and enthusiastic individual that is able to deliver results under pressure, whilst responding constructively to challenging new ideas and inputs A dynamic and determined individual that is highly driven, committed and results-orientated with significant pace, energy and confidence Able to combine a short-term, pragmatic focus with longer-term planning and vision Able to deliver quality and consistency in a complex, highly demanding environment Knowledge, Skills and Experience Data engineering, analysis & visualisation Development of graphic user interfaces with complex, multi-app interactions, the experience of model-view presenter / controller, unit testing & object-oriented programming Development of vehicle models using program assumptions e.g. torque vs speed (in & through gear), e-motor performance, vehicle acceleration, physics of motion Languages ideally - Python, Matlab, JavaScript, SQL Experience with computing services such as Google Cloud Platform, Amazon Web Services, Azure, Data Studio, Tableau Cloud-based analysis Management of scalable end-to-end data ingestion, processing and management pipelines Management of server-based and serverless backend data interfaces Platforms Google Cloud Platform, Amazon Web Services, Azure Languages - Python, JavaScript, Go, SQL, Matlab Software development methodologies, dev-ops and management Agile, Scrum, KanBan Platforms BitBucket, Git, GitHub, JIRA, Confluence
20/09/2022
Full time
Job description: WHAT TO EXPECT We are looking for a Lead Software Tools Engineer to work within the Data Analytics Toolset Team, the team are responsible for supporting the Propulsion Controls department with the development of propulsion calibration, simulation toolsets, processes and procedures for streamlining calibration development, data analytics and improving working relationships with suppliers. As a Lead Software Tools Engineer, you must possess the ability to future-proof the software using a forward-thinking approach and understanding the companywide vision that is essential to maintaining and improving the current toolsets whilst developing new features and functions for a constantly changing environment. The team are leading simulation, desktop and cloud-based calibration activities internally and externally with major suppliers through the use of Matlab, Simulink and Python-based toolsets. Key Accountabilities and Responsibilities Develop and agree on what desktop-based toolsets to import, visualize, check and improve data efficiency through the calibration teams Manage and utilize CAE data to create vehicle models that improve desktop calibrations Experience and or knowledge in transmission, hybrid calibration, controls and software development, powertrain driveline systems and controls Development of desktop calibration application with cloud-based backend performing big data scale processing and machine learning Experience and or knowledge of modern data analytics, programming and visualization Support the vision for the future of data-driven engineering within propulsion controls - from the body of knowledge through to data analysis, visualization and feedback for continuous improvement WHAT YOU'LL NEED Understands the importance of data and its analysis in the engineering life cycle - a technical mindset that strives for objective over subjective decisions with data-driven solutions A passion for the automotive industry and strong project management capabilities with excellent execution skills and the ability to multitask Comfortable challenging with strong influencing and engagement skills - able to challenge existing thinking positively whilst building credibility and trust through experience and personal style A resilient and enthusiastic individual that is able to deliver results under pressure, whilst responding constructively to challenging new ideas and inputs A dynamic and determined individual that is highly driven, committed and results-orientated with significant pace, energy and confidence Able to combine a short-term, pragmatic focus with longer-term planning and vision Able to deliver quality and consistency in a complex, highly demanding environment Knowledge, Skills and Experience Data engineering, analysis & visualisation Development of graphic user interfaces with complex, multi-app interactions, the experience of model-view presenter / controller, unit testing & object-oriented programming Development of vehicle models using program assumptions e.g. torque vs speed (in & through gear), e-motor performance, vehicle acceleration, physics of motion Languages ideally - Python, Matlab, JavaScript, SQL Experience with computing services such as Google Cloud Platform, Amazon Web Services, Azure, Data Studio, Tableau Cloud-based analysis Management of scalable end-to-end data ingestion, processing and management pipelines Management of server-based and serverless backend data interfaces Platforms Google Cloud Platform, Amazon Web Services, Azure Languages - Python, JavaScript, Go, SQL, Matlab Software development methodologies, dev-ops and management Agile, Scrum, KanBan Platforms BitBucket, Git, GitHub, JIRA, Confluence
Siemens Digital Industries Software (DISW) is driving transformation to enable a digital enterprise where engineering, manufacturing and electronics design meet tomorrow. Our solutions help companies of all sizes create and demonstrate digital twins that provide organisations with new insights, opportunities and levels of automation to drive innovation. Simulation and Test Solutions (STS) is a division of Siemens DISW, it is a world-class player in the field of Computer-Aided Engineering (CAE) and Computational Fluid Dynamics (CFD), we develop engineering simulation software for the analysis of fluid flow and heat transfer. Using our software and consulting services, customers accelerate and optimise their designs by predicting the behaviour of proposed models before building physical prototypes. Our software products are used by mainstream design engineers, not just by analysis specialists, and are based around four lines of business: Thermo-fluid system design (used in Automotive, Aerospace, Power & Process industries) General purpose CAD-embedded CFD (used in a wide variety of fluid flow applications) Electronics Cooling Heating, Ventilation and Air-Conditioning (HVAC) What to expect! STS has been offering engineering student placements for many years and has a great track record of giving students an excellent grounding in our technologies. The engineering work will involve using our products to analyse or build models of equipment and systems then, using the principles of fluid flow, heat transfer and CFD, you will use these models to verify and validate that the software is producing correct results. You will work with experienced Software Developers who will fix any deficiencies that you find in the software, and you will suggest improvements to the software to make it easier to use and to eliminate user error. Working as part of a team that meets daily, ensuring that help is always on hand when needed. Through the teamwork, you will learn about the Agile management methodologies that are employed in the development of our products and will gain a good understanding of a wide range of skills associated with Software Engineering. We offer 10 engineering intern positions over 2 locations namely Nottingham and Towcester. The roles range from pure CFD/CAE related testing roles to roles where you can develop your software programming skills! Simcenter Flomaster is a system simulation CFD software developed in Towcester, and you will be part of the Development/Quality Assurance teams. You will get the opportunity to develop your skills on software engineering by adding and improving features in Simcenter Flomaster. This role will encompass the task of writing tests for validation and verification using the automation provided by Microsoft Azure DevOps Server enabling faster development of quality software. While working primarily on Simcenter Flomaster, you may also get the chance to learn other engineering software that can be linked to Simcenter Flomaster, such as Simcenter FLOEFD, Simcenter Amesim, Simcenter 3D and MATLAB. Depending on the role, you will also get the opportunity to develop interesting CFD models demonstrating the capabilities of the software. You may also get opportunity to create Knowledge Base articles and product training material. The Simcenter Flotherm suite of products are developed in Nottingham, and you will be part of the Quality Assurance team responsible for testing the software. In these roles you will be working on different CFD products such as Simcenter Flotherm and Simcenter Flotherm XT. You may also work with other products like Simcenter Flomaster and Simcenter FLOEFD. You will learn how to apply CFD to solve real engineering issues by working alongside our domain experts. Some of the roles involve Test Automation, scripting, and running performance tests and you may also get involved in helping to create product training and marketing material. One of the positions offered in Nottingham is focussed on testing Electronic Design Automation Integration software. In this role you will develop PCB models using software such as Xpedition and HyperLynx for testing Simcenter Flotherm XT EDA Bridge. You will also develop your skills in using ECAD and MCAD while working with these software products. Students studying for a degree in Electrical/Electronic Engineering or similar are preferred for this role. Requirements/Skills Students should be studying at a UK university for a degree in Engineering An interest in mathematical modelling and CFD are especially valued for the 9 CFD specific roles For Simcenter Flotherm roles the ability to use CAD or similar software is an advantage. For Simcenter Flomaster roles, an interest in programming and software development is required, and any programming experience is valued Good written and verbal communication skills The ability to work well and collaborate in a team, but also able to work independently when required Being on track for a First or 2:1 in your respective degree program All the roles require self-learning. Ideal candidates are self-motivated, have desire to learn new technologies, like problem solving and have ability to think analytically Note: Please provide a cover letter along with their CV for applying to this role. Candidates specifically interested in the Electronic Design Automation testing role should mention the same in the cover letter. **Should you be successful in being invited to interview - these will be taking place Mid Feb 2022** Feedback from previous interns RateMy Placement StudentIntern 1 Student Intern 2 StudentIntern 3 We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, private healthcare and actively support working from home. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Siemens Software. Where today meets tomorrow #LI-GE1 #LI-PLM Organization: Digital Industries Company: Siemens Industry Software Limited Experience Level: Student (Not Yet Graduated) Job Type: Full-time If you are a woman and cannot find jobs within engineering at Siemens that match your location or skill set why not join our talent community . While you're at it, why not set up job alerts to be notified of these fantastic opportunities when they become available!
01/02/2022
Full time
Siemens Digital Industries Software (DISW) is driving transformation to enable a digital enterprise where engineering, manufacturing and electronics design meet tomorrow. Our solutions help companies of all sizes create and demonstrate digital twins that provide organisations with new insights, opportunities and levels of automation to drive innovation. Simulation and Test Solutions (STS) is a division of Siemens DISW, it is a world-class player in the field of Computer-Aided Engineering (CAE) and Computational Fluid Dynamics (CFD), we develop engineering simulation software for the analysis of fluid flow and heat transfer. Using our software and consulting services, customers accelerate and optimise their designs by predicting the behaviour of proposed models before building physical prototypes. Our software products are used by mainstream design engineers, not just by analysis specialists, and are based around four lines of business: Thermo-fluid system design (used in Automotive, Aerospace, Power & Process industries) General purpose CAD-embedded CFD (used in a wide variety of fluid flow applications) Electronics Cooling Heating, Ventilation and Air-Conditioning (HVAC) What to expect! STS has been offering engineering student placements for many years and has a great track record of giving students an excellent grounding in our technologies. The engineering work will involve using our products to analyse or build models of equipment and systems then, using the principles of fluid flow, heat transfer and CFD, you will use these models to verify and validate that the software is producing correct results. You will work with experienced Software Developers who will fix any deficiencies that you find in the software, and you will suggest improvements to the software to make it easier to use and to eliminate user error. Working as part of a team that meets daily, ensuring that help is always on hand when needed. Through the teamwork, you will learn about the Agile management methodologies that are employed in the development of our products and will gain a good understanding of a wide range of skills associated with Software Engineering. We offer 10 engineering intern positions over 2 locations namely Nottingham and Towcester. The roles range from pure CFD/CAE related testing roles to roles where you can develop your software programming skills! Simcenter Flomaster is a system simulation CFD software developed in Towcester, and you will be part of the Development/Quality Assurance teams. You will get the opportunity to develop your skills on software engineering by adding and improving features in Simcenter Flomaster. This role will encompass the task of writing tests for validation and verification using the automation provided by Microsoft Azure DevOps Server enabling faster development of quality software. While working primarily on Simcenter Flomaster, you may also get the chance to learn other engineering software that can be linked to Simcenter Flomaster, such as Simcenter FLOEFD, Simcenter Amesim, Simcenter 3D and MATLAB. Depending on the role, you will also get the opportunity to develop interesting CFD models demonstrating the capabilities of the software. You may also get opportunity to create Knowledge Base articles and product training material. The Simcenter Flotherm suite of products are developed in Nottingham, and you will be part of the Quality Assurance team responsible for testing the software. In these roles you will be working on different CFD products such as Simcenter Flotherm and Simcenter Flotherm XT. You may also work with other products like Simcenter Flomaster and Simcenter FLOEFD. You will learn how to apply CFD to solve real engineering issues by working alongside our domain experts. Some of the roles involve Test Automation, scripting, and running performance tests and you may also get involved in helping to create product training and marketing material. One of the positions offered in Nottingham is focussed on testing Electronic Design Automation Integration software. In this role you will develop PCB models using software such as Xpedition and HyperLynx for testing Simcenter Flotherm XT EDA Bridge. You will also develop your skills in using ECAD and MCAD while working with these software products. Students studying for a degree in Electrical/Electronic Engineering or similar are preferred for this role. Requirements/Skills Students should be studying at a UK university for a degree in Engineering An interest in mathematical modelling and CFD are especially valued for the 9 CFD specific roles For Simcenter Flotherm roles the ability to use CAD or similar software is an advantage. For Simcenter Flomaster roles, an interest in programming and software development is required, and any programming experience is valued Good written and verbal communication skills The ability to work well and collaborate in a team, but also able to work independently when required Being on track for a First or 2:1 in your respective degree program All the roles require self-learning. Ideal candidates are self-motivated, have desire to learn new technologies, like problem solving and have ability to think analytically Note: Please provide a cover letter along with their CV for applying to this role. Candidates specifically interested in the Electronic Design Automation testing role should mention the same in the cover letter. **Should you be successful in being invited to interview - these will be taking place Mid Feb 2022** Feedback from previous interns RateMy Placement StudentIntern 1 Student Intern 2 StudentIntern 3 We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, private healthcare and actively support working from home. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Siemens Software. Where today meets tomorrow #LI-GE1 #LI-PLM Organization: Digital Industries Company: Siemens Industry Software Limited Experience Level: Student (Not Yet Graduated) Job Type: Full-time If you are a woman and cannot find jobs within engineering at Siemens that match your location or skill set why not join our talent community . While you're at it, why not set up job alerts to be notified of these fantastic opportunities when they become available!
