Software Security Architect - CRA (m/f/d)Applylocations: Gratkorn: Glasgowtime type: Full timeposted on: Posted Todayjob requisition id: R-Join one of the largest industrial security teams and build technology that protects real devices, worldwide.At NXP's Competence Center Crypto & Security, we design, build, and deliver end-to-end security - from innovation to architecture to products in the field.If you're a security engineer who wants impact, on real life security solutions, we'd love to hear from you.Our Chief Technology Office (CTO) organization drives innovation across NXP and supports Business Units with the tools, knowledge, and processes required to create secure products for our customers. The Security Architecture Team within the Competence Center Crypto & Security (CC C&S) plays a key role in enabling secure products across the Automotive, Industrial, IoT, Mobile, and Edge Processing markets. Your Role Join our team and support product development teams in gathering requirements, specifying, designing, reviewing, verifying, and implementing security solutions for NXP products.As a Software Security Architect, you will help ensure that security is built into products throughout their entire lifecycle. You will collaborate with product teams, security experts, and stakeholders across the company to develop robust security architectures, assess security risks, and support compliance with relevant cybersecurity standards and regulations, including the Cyber Resilience Act (CRA). Your Responsibilities Specify, design, review, and evolve system software security architectures and implementations. Conduct threat analysis, attack surface analysis, and security risk assessments for embedded systems and software platforms. Define security requirements and establish traceability from security objectives to implementation and verification activities. Integrate security-by-design principles throughout the complete product lifecycle. Support secure development lifecycle (SDL) activities, including architecture reviews, security assessments, and security verification. Analyze security vulnerabilities and defects, perform root cause analysis, and define appropriate mitigations and countermeasures. Define and review security mechanisms such as secure boot, secure update, cryptographic services, key management, device identity, and root-of-trust solutions. Translate cybersecurity standards, regulatory requirements, and industry best practices into practical engineering requirements and architectures. Support compliance activities related to product security regulations and standards, including the Cyber Resilience Act (CRA), through security documentation, evidence generation, and risk management activities. Drive adoption of security best practices across project teams and product lines. Serve as a technical interface to customers, evaluation labs, compliance experts, and product development teams. Contribute to the continuous improvement of NXP's product security methodologies, frameworks, and processes. Your Profile Master's degree, PhD, or equivalent experience in Computer Science, Cybersecurity, Software Engineering, Electronics, Mathematics, or a related technical field. Strong background in cybersecurity and software security architecture. Extensive experience in embedded software development using C, Rust, and/or assembly language. Strong understanding of SoC software stacks, middleware, firmware, operating systems, and applications. Experience with threat modelling, security risk assessment, and secure system design. Familiarity with security technologies such as: + Secure Boot + Cryptography and Key Management + Device Identity and Root of Trust + Firmware Protection + Secure Update Mechanisms Familiarity with cybersecurity regulations, standards, and certification schemes applicable to embedded and connected products. Strong analytical skills and ability to address complex system-level security challenges. Experience or interest in AI security is a plus. Independent working style with a willingness to listen, learn, and adapt. Excellent communication and stakeholder management skills. Strong team player with the ability to work effectively in global and cross-functional environments. Preferred Qualifications Experience in one or more of the following areas is highly desirable: Security architecture for automotive, industrial, or IoT products. Product security regulations and compliance frameworks, including the Cyber Resilience Act (CRA). Secure Development Lifecycle (SDL) practices. Security certification frameworks such as PSA Certified, SESIP, or Common Criteria. Vulnerability management, penetration testing, or security assessments. Hardware/software security co-design. Artificial Intelligence and AI security. Creating Secure Connections and Infrastructure for a Smarter World NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world.We are in the business of better. Not just better technologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world's most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live.Ready to create a smarter world? Visit our career website and follow us on social: LinkedIn , Facebook , and X .To learn more bout our products visit our showroom here .Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.For applications in Gratkorn: NXP provides market competitive compensation according to the benchmarking of the electronic and semiconductor industry. Due to the Austrian Equal Treatment Act we are obligated to state the employment group of our applicable collective bargaining agreement (CBA) "Kollektivvertrag für Angestellte Gewerbe und Handwerk und in der Dienstleistung", this position (fulltime) is graded in Employment Group V after 6 years. Your individual experiences and expectations will be considered in the application process. Moreover, we provide attractive benefits to our employees like home office, flexible working time, meal benefits and more.More information about NXP in Austria
26/07/2026
Full time
Software Security Architect - CRA (m/f/d)Applylocations: Gratkorn: Glasgowtime type: Full timeposted on: Posted Todayjob requisition id: R-Join one of the largest industrial security teams and build technology that protects real devices, worldwide.At NXP's Competence Center Crypto & Security, we design, build, and deliver end-to-end security - from innovation to architecture to products in the field.If you're a security engineer who wants impact, on real life security solutions, we'd love to hear from you.Our Chief Technology Office (CTO) organization drives innovation across NXP and supports Business Units with the tools, knowledge, and processes required to create secure products for our customers. The Security Architecture Team within the Competence Center Crypto & Security (CC C&S) plays a key role in enabling secure products across the Automotive, Industrial, IoT, Mobile, and Edge Processing markets. Your Role Join our team and support product development teams in gathering requirements, specifying, designing, reviewing, verifying, and implementing security solutions for NXP products.As a Software Security Architect, you will help ensure that security is built into products throughout their entire lifecycle. You will collaborate with product teams, security experts, and stakeholders across the company to develop robust security architectures, assess security risks, and support compliance with relevant cybersecurity standards and regulations, including the Cyber Resilience Act (CRA). Your Responsibilities Specify, design, review, and evolve system software security architectures and implementations. Conduct threat analysis, attack surface analysis, and security risk assessments for embedded systems and software platforms. Define security requirements and establish traceability from security objectives to implementation and verification activities. Integrate security-by-design principles throughout the complete product lifecycle. Support secure development lifecycle (SDL) activities, including architecture reviews, security assessments, and security verification. Analyze security vulnerabilities and defects, perform root cause analysis, and define appropriate mitigations and countermeasures. Define and review security mechanisms such as secure boot, secure update, cryptographic services, key management, device identity, and root-of-trust solutions. Translate cybersecurity standards, regulatory requirements, and industry best practices into practical engineering requirements and architectures. Support compliance activities related to product security regulations and standards, including the Cyber Resilience Act (CRA), through security documentation, evidence generation, and risk management activities. Drive adoption of security best practices across project teams and product lines. Serve as a technical interface to customers, evaluation labs, compliance experts, and product development teams. Contribute to the continuous improvement of NXP's product security methodologies, frameworks, and processes. Your Profile Master's degree, PhD, or equivalent experience in Computer Science, Cybersecurity, Software Engineering, Electronics, Mathematics, or a related technical field. Strong background in cybersecurity and software security architecture. Extensive experience in embedded software development using C, Rust, and/or assembly language. Strong understanding of SoC software stacks, middleware, firmware, operating systems, and applications. Experience with threat modelling, security risk assessment, and secure system design. Familiarity with security technologies such as: + Secure Boot + Cryptography and Key Management + Device Identity and Root of Trust + Firmware Protection + Secure Update Mechanisms Familiarity with cybersecurity regulations, standards, and certification schemes applicable to embedded and connected products. Strong analytical skills and ability to address complex system-level security challenges. Experience or interest in AI security is a plus. Independent working style with a willingness to listen, learn, and adapt. Excellent communication and stakeholder management skills. Strong team player with the ability to work effectively in global and cross-functional environments. Preferred Qualifications Experience in one or more of the following areas is highly desirable: Security architecture for automotive, industrial, or IoT products. Product security regulations and compliance frameworks, including the Cyber Resilience Act (CRA). Secure Development Lifecycle (SDL) practices. Security certification frameworks such as PSA Certified, SESIP, or Common Criteria. Vulnerability management, penetration testing, or security assessments. Hardware/software security co-design. Artificial Intelligence and AI security. Creating Secure Connections and Infrastructure for a Smarter World NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world.We are in the business of better. Not just better technologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world's most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live.Ready to create a smarter world? Visit our career website and follow us on social: LinkedIn , Facebook , and X .To learn more bout our products visit our showroom here .Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.For applications in Gratkorn: NXP provides market competitive compensation according to the benchmarking of the electronic and semiconductor industry. Due to the Austrian Equal Treatment Act we are obligated to state the employment group of our applicable collective bargaining agreement (CBA) "Kollektivvertrag für Angestellte Gewerbe und Handwerk und in der Dienstleistung", this position (fulltime) is graded in Employment Group V after 6 years. Your individual experiences and expectations will be considered in the application process. Moreover, we provide attractive benefits to our employees like home office, flexible working time, meal benefits and more.More information about NXP in Austria
# Battery Management Systems SpecialistUKCompetitiveApply / Discuss This RoleRegister for Similar RolesWe are seeking an experienced Battery Management Systems Specialist to take a senior technical role in the development of advanced BMS hardware for lithium-ion battery applications. You will provide technical leadership across multiple engineering programmes, driving best practice in hardware design, functional safety and reliability. The role offers involvement across the full hardware development lifecycle, from concept architecture and schematic capture through PCB design, verification and industrialisation. Key Responsibilities Leading the development of Battery Management System hardware from concept through production release. Producing and reviewing schematics and multilayer PCB designs for safety-critical BMS applications. Integrating battery monitoring ICs from leading semiconductor manufacturers into BMS hardware designs. Defining and implementing hardware architectures that meet functional safety requirements. Supporting hardware verification, validation, root cause analysis and technical investigations. Driving best practice in hardware functional safety, reliability engineering and DFMEA activities. Collaborating closely with software, systems, controls, mechanical and electrical engineering teams throughout development. Supporting customer workshops, feasibility studies, technical proposals and technology planning activities. Evaluating emerging semiconductor technologies, battery monitoring devices and hardware design methodologies. Developing engineering standards, design guidelines and technical documentation. Working with external suppliers and manufacturing partners to ensure successful product industrialisation. Essential Requirements Degree in Electronics Engineering or a closely related discipline. Significant experience developing Battery Management System hardware for lithium-ion battery applications. Strong knowledge of battery monitoring ICs and integration of devices from leading semiconductor manufacturers. Experience producing and reviewing schematics and multilayer PCB designs for safety-critical products. Hands-on experience with laboratory debugging, fault finding and electronic test equipment. Knowledge of circuit simulation and electronic verification techniques. Experience supporting structured engineering development processes and functional safety activities. Proven ability to provide technical leadership across multiple engineering programmes. Desirable Energy Storage Systems development within Industrial Electrification, e-mobility or Defence industries. Functional Safety (ISO 26262, IEC 61508 or equivalent). UN ECE R100 or related battery regulations. Traction battery systems experience. High-voltage development and test environments. FPGA-based hardware integration. Advanced diagnostics or fault monitoring architectures. Technical roadmap development and R&D activities. Interested in this role?Contact Rick directly to discuss this opportunity or register your CV for similar roles.Book a Call with RickEmail Us Role SummaryJob Type: PermanentLocation: UKSalary: CompetitiveSector: AutomotivePosted: July 2026
24/07/2026
Full time
# Battery Management Systems SpecialistUKCompetitiveApply / Discuss This RoleRegister for Similar RolesWe are seeking an experienced Battery Management Systems Specialist to take a senior technical role in the development of advanced BMS hardware for lithium-ion battery applications. You will provide technical leadership across multiple engineering programmes, driving best practice in hardware design, functional safety and reliability. The role offers involvement across the full hardware development lifecycle, from concept architecture and schematic capture through PCB design, verification and industrialisation. Key Responsibilities Leading the development of Battery Management System hardware from concept through production release. Producing and reviewing schematics and multilayer PCB designs for safety-critical BMS applications. Integrating battery monitoring ICs from leading semiconductor manufacturers into BMS hardware designs. Defining and implementing hardware architectures that meet functional safety requirements. Supporting hardware verification, validation, root cause analysis and technical investigations. Driving best practice in hardware functional safety, reliability engineering and DFMEA activities. Collaborating closely with software, systems, controls, mechanical and electrical engineering teams throughout development. Supporting customer workshops, feasibility studies, technical proposals and technology planning activities. Evaluating emerging semiconductor technologies, battery monitoring devices and hardware design methodologies. Developing engineering standards, design guidelines and technical documentation. Working with external suppliers and manufacturing partners to ensure successful product industrialisation. Essential Requirements Degree in Electronics Engineering or a closely related discipline. Significant experience developing Battery Management System hardware for lithium-ion battery applications. Strong knowledge of battery monitoring ICs and integration of devices from leading semiconductor manufacturers. Experience producing and reviewing schematics and multilayer PCB designs for safety-critical products. Hands-on experience with laboratory debugging, fault finding and electronic test equipment. Knowledge of circuit simulation and electronic verification techniques. Experience supporting structured engineering development processes and functional safety activities. Proven ability to provide technical leadership across multiple engineering programmes. Desirable Energy Storage Systems development within Industrial Electrification, e-mobility or Defence industries. Functional Safety (ISO 26262, IEC 61508 or equivalent). UN ECE R100 or related battery regulations. Traction battery systems experience. High-voltage development and test environments. FPGA-based hardware integration. Advanced diagnostics or fault monitoring architectures. Technical roadmap development and R&D activities. Interested in this role?Contact Rick directly to discuss this opportunity or register your CV for similar roles.Book a Call with RickEmail Us Role SummaryJob Type: PermanentLocation: UKSalary: CompetitiveSector: AutomotivePosted: July 2026
Machine Learning Engineer BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. The Role As a Machine Learning Engineer, you'll play a central role in advancing our Generative Physics simulation platform. You'll work at the intersection of ML research and engineering contributing to core model development, shaping model architecture, and delivering performant systems that integrate seamlessly into our real-world design optimization workflows. You'll work closely with our ML research team, software engineers, and industry partners to deploy robust, scalable models that deliver real-world impact. Responsibilities Physics-Focused AI Model Development: Design and train deep learning models for physics simulation across aerodynamic and engineering domains. Scalability & Performance: Drive optimization efforts for model inference speed, accuracy, and robustness on large-scale industrial datasets. Geometry Representation: Research effective ways to represent geometric design variations for efficient use by machine learning models. Production Integration: Partner with engineering teams to deploy and monitor models in production-grade pipelines and tools. Architecture & Design: Contribute to design decisions around model and data architecture, tooling, and ML infrastructure. Essential Requirements Industrial Experience: Strong track record applying ML to complex real-world problems (ideally including geometry or physical systems). Foundational Knowledge: Deep understanding of machine learning theory, including optimization, generalisation, and various model architectures. Programming: Strong python skills and experience with deep learning libraries (TensorFlow/PyTorch/JAX). Communication: Ability to clearly explain complex ML concepts and research findings to both technical and non-technical audiences. Education: Master's Degree (PhD preferred) in Machine Learning, Computer Science, or a related quantitative field. Highly Desirable Aerodynamics/CFD Expertise: Familiarity with aerodynamic principles and computational fluid dynamics is a major plus. Design Optimization: Prior experience in optimization algorithms, particularly inthe context of engineering design. Physics/Science ML: Experience integrating physical laws or constraints intomachine learning models. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."
23/07/2026
Full time
Machine Learning Engineer BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. The Role As a Machine Learning Engineer, you'll play a central role in advancing our Generative Physics simulation platform. You'll work at the intersection of ML research and engineering contributing to core model development, shaping model architecture, and delivering performant systems that integrate seamlessly into our real-world design optimization workflows. You'll work closely with our ML research team, software engineers, and industry partners to deploy robust, scalable models that deliver real-world impact. Responsibilities Physics-Focused AI Model Development: Design and train deep learning models for physics simulation across aerodynamic and engineering domains. Scalability & Performance: Drive optimization efforts for model inference speed, accuracy, and robustness on large-scale industrial datasets. Geometry Representation: Research effective ways to represent geometric design variations for efficient use by machine learning models. Production Integration: Partner with engineering teams to deploy and monitor models in production-grade pipelines and tools. Architecture & Design: Contribute to design decisions around model and data architecture, tooling, and ML infrastructure. Essential Requirements Industrial Experience: Strong track record applying ML to complex real-world problems (ideally including geometry or physical systems). Foundational Knowledge: Deep understanding of machine learning theory, including optimization, generalisation, and various model architectures. Programming: Strong python skills and experience with deep learning libraries (TensorFlow/PyTorch/JAX). Communication: Ability to clearly explain complex ML concepts and research findings to both technical and non-technical audiences. Education: Master's Degree (PhD preferred) in Machine Learning, Computer Science, or a related quantitative field. Highly Desirable Aerodynamics/CFD Expertise: Familiarity with aerodynamic principles and computational fluid dynamics is a major plus. Design Optimization: Prior experience in optimization algorithms, particularly inthe context of engineering design. Physics/Science ML: Experience integrating physical laws or constraints intomachine learning models. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward. THE ROLE: AMD's Adaptive Embedded Compute Group (AECG) builds products that blend powerful, energy-efficient processors, advanced neural engines and graphics processors, and adaptive embedded compute with programable logic to build edge computing solutions. From autonomous vehicles and industrial robotics to smart healthcare devices, AMD AECG is redefining intelligent edge computing. THE PERSON: AMD's AECG group is searching for an experienced x86 Software Solution Architect and Planner to help deliver customer focused solutions for the next generation of embedded x86 silicon products. The ideal candidate thrives in a dynamic environment driving innovation and new technology. KEY RESPONSIBILITIES: Partner with silicon planning and architecture teams help define silicon features and software stacks for the next generation of AI enabled x86 solutions Collaborate with market segment architects and business leads to create customer focused x86 solutions to address the complex needs of customers in Aerospace, Automotive, Medical, Robotics, Industrial and Vision markets. Work closely with software engineering and product planning teams to define all aspects of the embedded software stacks such as: BIOS, Firmware, Debug and Diagnostic Tools Operating System Support such as Yocto, Ubuntu, QNX, Windows, and Android OS Hypervisors such as Xen and QVM ROCm and Ryzen AI software support for iGPU and NPU's Specialized Application stacks such AMD's Virtualized Automotive Stack (VIS), Robot Operating System (ROS), Multi-Media Analytics, AI Models, VLM and LLM's Work with product marketing and engineering teams to prioritize and align software and solution deliverables during release planning processes. Present solution progress updates to executive and deliver solution, silicon, and customer application presentations to internal marketing and engineering teams. PREFERRED EXPERIENCE: Experienced Software/Computer Engineer, System Architect, Application Engineer, or Technical Marketing Engineer/Manager with in-depth x86 and AI system experience. Computer Architecture experience and solid understanding of software stacks from BIOS through to Application software Ability to understand a broad set of applications from traditional x86 processing use-cases to emerging applications in AI Inference and Machine learning. Ability to break down large complex problems into manageable deliverables and be able to manage and prioritize requirements from many stakeholders. Beneficial to have Project Management experience, excellent organizational skills, and a process-oriented mindset ACADEMIC CREDENTIALS: BS/MS in CS/CE/EE LOCATION: Belfast, UK AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
23/07/2026
Full time
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward. THE ROLE: AMD's Adaptive Embedded Compute Group (AECG) builds products that blend powerful, energy-efficient processors, advanced neural engines and graphics processors, and adaptive embedded compute with programable logic to build edge computing solutions. From autonomous vehicles and industrial robotics to smart healthcare devices, AMD AECG is redefining intelligent edge computing. THE PERSON: AMD's AECG group is searching for an experienced x86 Software Solution Architect and Planner to help deliver customer focused solutions for the next generation of embedded x86 silicon products. The ideal candidate thrives in a dynamic environment driving innovation and new technology. KEY RESPONSIBILITIES: Partner with silicon planning and architecture teams help define silicon features and software stacks for the next generation of AI enabled x86 solutions Collaborate with market segment architects and business leads to create customer focused x86 solutions to address the complex needs of customers in Aerospace, Automotive, Medical, Robotics, Industrial and Vision markets. Work closely with software engineering and product planning teams to define all aspects of the embedded software stacks such as: BIOS, Firmware, Debug and Diagnostic Tools Operating System Support such as Yocto, Ubuntu, QNX, Windows, and Android OS Hypervisors such as Xen and QVM ROCm and Ryzen AI software support for iGPU and NPU's Specialized Application stacks such AMD's Virtualized Automotive Stack (VIS), Robot Operating System (ROS), Multi-Media Analytics, AI Models, VLM and LLM's Work with product marketing and engineering teams to prioritize and align software and solution deliverables during release planning processes. Present solution progress updates to executive and deliver solution, silicon, and customer application presentations to internal marketing and engineering teams. PREFERRED EXPERIENCE: Experienced Software/Computer Engineer, System Architect, Application Engineer, or Technical Marketing Engineer/Manager with in-depth x86 and AI system experience. Computer Architecture experience and solid understanding of software stacks from BIOS through to Application software Ability to understand a broad set of applications from traditional x86 processing use-cases to emerging applications in AI Inference and Machine learning. Ability to break down large complex problems into manageable deliverables and be able to manage and prioritize requirements from many stakeholders. Beneficial to have Project Management experience, excellent organizational skills, and a process-oriented mindset ACADEMIC CREDENTIALS: BS/MS in CS/CE/EE LOCATION: Belfast, UK AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
Senior AI Solutions ArchitectApplylocations: Gillingham - United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R ABOUT US PHINIA: Advancing sustainability today, powering a cleaner tomorrow. PHINIA is an independent, market-leading, premium solutions and components provider with over 100 years of manufacturing expertise and industry relationships, with a strong brand portfolio that includes DELPHI, DELCO REMY and HARTRIDGETM. With over 12,500 employees across 43 locations in 20 countries, PHINIA is headquartered in Auburn Hills, Michigan, USA. At PHINIA, we Provide fuel systems, electrical systems, and aftermarket products and solutions of the highest quality - developed and manufactured responsibly - that are designed to enhance efficiency and reduce the environmental impact of vehicles, industrial machinery, and other applications. In doing so, we contribute to a cleaner tomorrow, treat our people and surrounding communities with respect, and hold ourselves accountable to robust ethical standards. Our Culture PHINIA promotes and cultivates an inclusive culture and diverse perspectives, strives to maintain its reputation for excellence, thrives on the power of collaboration, and fosters the development of our talented employees. We believe in making a positive impact through our business and actions, and we take our collective responsibility seriously. Career Opportunities We believe in building a brighter tomorrow for our employees as well as our customers and encourage you to learn about our long history, strong culture, new technologies, and future vision. We offer a strong local presence and interesting global opportunities. Join us on this shared journey toward a brighter tomorrow. JOB PURPOSE Senior candidates would be expected to provide technical leadership of a component or subsystem within an internally developed AI platform, driving quality and best practices while mentoring junior team members. You will be expected to demonstrate technical authority for specific domains such as backend services, system integration, or frontend experience. Junior candidates should also consider themselves for this role as a function of their demonstrable expertise, rather than professional tenure or experience. KEY RESPONSIBILITIES Technical Leadership: Own technical direction for assigned components; make design decisions within scope Architecture: Design full feature and component-level architectures; contribute to system-wide architectural discussions Complex Development: Lead development of complex features spanning an internally developed AI IDE consisting of frontend, backend and related databases Integration Ownership: Lead AI IDE as well as specific engineering systems (e.g., calibration tools, dyno data systems) integration efforts Quality: Lead comprehensive testing strategies development implementation; test strategy library maintenance and actively contribute to code reviews Mentoring: Coach and develop Junior Engineers and Engineers; conduct thorough code reviews DevOps: Design and implement CI/CD pipelines; establish deployment best practices Technical Support: Handle L3 escalations; contribute to root cause analysis What we're looking for Skills LLM integration and prompt engineering experience Enterprise system integration (APIs, ETL, middleware) Windows deployment and/or Containerisation and orchestration (Docker, Kubernetes) Electron desktop application development and Blue-Green deployment Automotive engineering domain knowledge (ECU, calibration, test systems) AI Chat Interface architecture and extension development Tenacity to work through challenging problems independently Willingness to seek council and support with challenging problems Ability to keep an open mind Education & Experience Bachelor's degree in Computer Science, Software Engineering, or related Engineering discipline (Master's desirable) 4 to 5 years professional software development experience (Full Stack Desirable) Strong proficiency in Python and/or TypeScript/JavaScript and/or Svelte and/or Electron Strong proficiency in modern and AI databases, REST APIs, and version control (Git) Demonstrable experience with system design and architecture CI/CD pipeline design and implementation experience Track record of mentoring and developing others (desirable) Strong problem-solving aptitude, eagerness to learn and strong inquisitive nature Critical thinker with a 'can do!' mindset AI Augmentation Expectation This role fundamentally operates with AI augmentation. The engineer will leverage AI assistants as a force multiplier for and chart new territory in coding, debugging, research, and documentation, enabling delivery scope typically requiring a larger team and more highly skilled engineers. WHAT WE OFFER We provide compensation and benefits programs intended to attract, motivate, reward, and retain an incredibly talented, globally diverse workforce at all levels within our organization. Our compensation programs are informed by market data and business needs, and we are committed to providing equitable and competitive compensation. We are committed to providing our team with quality and competitive benefit programs, including health and well-being resources, family-centric policies, and an agile workplace program, where not precluded by collective bargaining agreements or national statutory plans. Plans are benchmarked for competitiveness and value. We provide formal development opportunities at all levels and stages of employee careers. These opportunities are delivered in a variety of formats to make our portfolio of solutions agile, sustainable, and scalable to support our employees in developing the skills needed to succeed. WHAT WE BELIEVE Product Leadership - Innovation that brings value to our customers Humility - Seeking out diverse perspectives and working collaboratively Inclusivity - Recognizing our differences makes us stronger; we are bold and intentional Net-Zero - Committed to energy efficiency, waste reduction and beneficial reuse Integrity - Taking responsibility for our decisions and doing what is right Accountability - Taking ownership of our actions and driving results SAFETY You will consistently hear us say Safety First! We are committed to continually improving our strong safety performance supporting the health and wellness of our employees!We also believe employee health and safety is everyone's responsibility. We encourage safety learning and collaboration to help employees understand and follow applicable safety policies, standards, and procedures and identify opportunities to minimize or eliminate risk. Work is expected to be conducted in a manner that stresses the importance of preventing incidents and illnesses, including attending all required safety meetings and trainings. It is expected that all incidents, near misses, and unsafe conditions are immediately reported to the direct manager, Human Resources, or Safety Representative. EQUAL EMPLOYMENT OPPORTUNITY PHINIA is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status. VISA SPONSORSHIP PHINIA does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work on a full-time basis, in the country where the position is currently based. NO UNAUTHORIZED REFERRALS FROM RECRUITERS & VENDORS Please note that PHINIA does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to PHINIA will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received. GLOBAL TERMS OF USE AND PRIVACY STATEMENT Carefully read the PHINIA Privacy Policy before using this website. Your ability to access and use this website and apply for a job at PHINIA are conditioned on your acceptance and compliance with these terms.Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review.Before submitting your application you will be asked to confirm your agreement with the terms. Career Scam Disclaimer: PHINIA makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by PHINIA. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact PHINIA through PHINIA's website to verify the authenticity of any employment opportunities. Advancing sustainability today, powering a cleaner tomorrow. Join us on this shared journey to a brighter tomorrow. For more information about PHINIA, please visit .
19/07/2026
Full time
Senior AI Solutions ArchitectApplylocations: Gillingham - United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R ABOUT US PHINIA: Advancing sustainability today, powering a cleaner tomorrow. PHINIA is an independent, market-leading, premium solutions and components provider with over 100 years of manufacturing expertise and industry relationships, with a strong brand portfolio that includes DELPHI, DELCO REMY and HARTRIDGETM. With over 12,500 employees across 43 locations in 20 countries, PHINIA is headquartered in Auburn Hills, Michigan, USA. At PHINIA, we Provide fuel systems, electrical systems, and aftermarket products and solutions of the highest quality - developed and manufactured responsibly - that are designed to enhance efficiency and reduce the environmental impact of vehicles, industrial machinery, and other applications. In doing so, we contribute to a cleaner tomorrow, treat our people and surrounding communities with respect, and hold ourselves accountable to robust ethical standards. Our Culture PHINIA promotes and cultivates an inclusive culture and diverse perspectives, strives to maintain its reputation for excellence, thrives on the power of collaboration, and fosters the development of our talented employees. We believe in making a positive impact through our business and actions, and we take our collective responsibility seriously. Career Opportunities We believe in building a brighter tomorrow for our employees as well as our customers and encourage you to learn about our long history, strong culture, new technologies, and future vision. We offer a strong local presence and interesting global opportunities. Join us on this shared journey toward a brighter tomorrow. JOB PURPOSE Senior candidates would be expected to provide technical leadership of a component or subsystem within an internally developed AI platform, driving quality and best practices while mentoring junior team members. You will be expected to demonstrate technical authority for specific domains such as backend services, system integration, or frontend experience. Junior candidates should also consider themselves for this role as a function of their demonstrable expertise, rather than professional tenure or experience. KEY RESPONSIBILITIES Technical Leadership: Own technical direction for assigned components; make design decisions within scope Architecture: Design full feature and component-level architectures; contribute to system-wide architectural discussions Complex Development: Lead development of complex features spanning an internally developed AI IDE consisting of frontend, backend and related databases Integration Ownership: Lead AI IDE as well as specific engineering systems (e.g., calibration tools, dyno data systems) integration efforts Quality: Lead comprehensive testing strategies development implementation; test strategy library maintenance and actively contribute to code reviews Mentoring: Coach and develop Junior Engineers and Engineers; conduct thorough code reviews DevOps: Design and implement CI/CD pipelines; establish deployment best practices Technical Support: Handle L3 escalations; contribute to root cause analysis What we're looking for Skills LLM integration and prompt engineering experience Enterprise system integration (APIs, ETL, middleware) Windows deployment and/or Containerisation and orchestration (Docker, Kubernetes) Electron desktop application development and Blue-Green deployment Automotive engineering domain knowledge (ECU, calibration, test systems) AI Chat Interface architecture and extension development Tenacity to work through challenging problems independently Willingness to seek council and support with challenging problems Ability to keep an open mind Education & Experience Bachelor's degree in Computer Science, Software Engineering, or related Engineering discipline (Master's desirable) 4 to 5 years professional software development experience (Full Stack Desirable) Strong proficiency in Python and/or TypeScript/JavaScript and/or Svelte and/or Electron Strong proficiency in modern and AI databases, REST APIs, and version control (Git) Demonstrable experience with system design and architecture CI/CD pipeline design and implementation experience Track record of mentoring and developing others (desirable) Strong problem-solving aptitude, eagerness to learn and strong inquisitive nature Critical thinker with a 'can do!' mindset AI Augmentation Expectation This role fundamentally operates with AI augmentation. The engineer will leverage AI assistants as a force multiplier for and chart new territory in coding, debugging, research, and documentation, enabling delivery scope typically requiring a larger team and more highly skilled engineers. WHAT WE OFFER We provide compensation and benefits programs intended to attract, motivate, reward, and retain an incredibly talented, globally diverse workforce at all levels within our organization. Our compensation programs are informed by market data and business needs, and we are committed to providing equitable and competitive compensation. We are committed to providing our team with quality and competitive benefit programs, including health and well-being resources, family-centric policies, and an agile workplace program, where not precluded by collective bargaining agreements or national statutory plans. Plans are benchmarked for competitiveness and value. We provide formal development opportunities at all levels and stages of employee careers. These opportunities are delivered in a variety of formats to make our portfolio of solutions agile, sustainable, and scalable to support our employees in developing the skills needed to succeed. WHAT WE BELIEVE Product Leadership - Innovation that brings value to our customers Humility - Seeking out diverse perspectives and working collaboratively Inclusivity - Recognizing our differences makes us stronger; we are bold and intentional Net-Zero - Committed to energy efficiency, waste reduction and beneficial reuse Integrity - Taking responsibility for our decisions and doing what is right Accountability - Taking ownership of our actions and driving results SAFETY You will consistently hear us say Safety First! We are committed to continually improving our strong safety performance supporting the health and wellness of our employees!We also believe employee health and safety is everyone's responsibility. We encourage safety learning and collaboration to help employees understand and follow applicable safety policies, standards, and procedures and identify opportunities to minimize or eliminate risk. Work is expected to be conducted in a manner that stresses the importance of preventing incidents and illnesses, including attending all required safety meetings and trainings. It is expected that all incidents, near misses, and unsafe conditions are immediately reported to the direct manager, Human Resources, or Safety Representative. EQUAL EMPLOYMENT OPPORTUNITY PHINIA is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status. VISA SPONSORSHIP PHINIA does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work on a full-time basis, in the country where the position is currently based. NO UNAUTHORIZED REFERRALS FROM RECRUITERS & VENDORS Please note that PHINIA does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to PHINIA will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received. GLOBAL TERMS OF USE AND PRIVACY STATEMENT Carefully read the PHINIA Privacy Policy before using this website. Your ability to access and use this website and apply for a job at PHINIA are conditioned on your acceptance and compliance with these terms.Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review.Before submitting your application you will be asked to confirm your agreement with the terms. Career Scam Disclaimer: PHINIA makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by PHINIA. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact PHINIA through PHINIA's website to verify the authenticity of any employment opportunities. Advancing sustainability today, powering a cleaner tomorrow. Join us on this shared journey to a brighter tomorrow. For more information about PHINIA, please visit .
Our client is a global leader in advanced engineering and manufacturing, developing world-class off-highway machines across construction, agriculture and industrial sectors. With a strong focus on electrification, automation, connectivity and intelligent machine control, they are seeking Electrical Systems Engineers to support the development of next-generation products. Key Responsibilities As an Electrical Systems Engineer, you will take ownership of key electrical and electronic systems throughout the product development lifecycle. Working across multidisciplinary engineering teams, you will support the delivery of robust machine architectures from concept through to production. Owning the development and evolution of electrical and electronic machine systems from concept through validation and production. Defining and developing electrical architectures, including ECU allocation, CAN network layouts and sensor/actuator integration. Ensuring electrical designs meet functional, environmental and reliability requirements. Supporting the integration of ECUs, embedded software and machine-level control functionality. Developing and maintaining system requirements, electrical specifications and interface definitions. Managing traceability throughout the engineering V-cycle development process. Defining and executing validation plans (DVP&R) for electrical systems. Using CAN tools to verify system behaviour, diagnose faults and optimise machine functionality. Leading structured fault-finding activities across electrical and control systems. Supporting programme delivery through design reviews, gateway processes and change management. Working with suppliers on electrical components including ECUs, sensors and wiring harnesses. Qualifications & Experience A degree in Electrical Engineering, Electronic Engineering, Mechatronics Engineering or a related discipline. A minimum of 2 years experience within automotive, off-highway, mobile machinery or similar engineering environments. Strong understanding of electrical architectures, including 12V/24V systems. Experience with CAN communication protocols, including J1939. Knowledge of control systems, electrical integration and machine-level functionality. Experience with system validation, testing and electrical fault finding. Ability to analyse technical issues and apply structured problem-solving techniques. Strong communication skills with the ability to collaborate across multidisciplinary engineering teams. Experience working with engineering documentation, requirements management and development processes. Summary This is an exciting opportunity to join a world-leading engineering organisation and play a key role in developing the next generation of intelligent off-highway machines. As an Electrical / E&C Systems Engineer, you will work on advanced electrical architectures, control systems and emerging technologies, seeing your designs progress from concept through to real-world machine applications.
19/07/2026
Full time
Our client is a global leader in advanced engineering and manufacturing, developing world-class off-highway machines across construction, agriculture and industrial sectors. With a strong focus on electrification, automation, connectivity and intelligent machine control, they are seeking Electrical Systems Engineers to support the development of next-generation products. Key Responsibilities As an Electrical Systems Engineer, you will take ownership of key electrical and electronic systems throughout the product development lifecycle. Working across multidisciplinary engineering teams, you will support the delivery of robust machine architectures from concept through to production. Owning the development and evolution of electrical and electronic machine systems from concept through validation and production. Defining and developing electrical architectures, including ECU allocation, CAN network layouts and sensor/actuator integration. Ensuring electrical designs meet functional, environmental and reliability requirements. Supporting the integration of ECUs, embedded software and machine-level control functionality. Developing and maintaining system requirements, electrical specifications and interface definitions. Managing traceability throughout the engineering V-cycle development process. Defining and executing validation plans (DVP&R) for electrical systems. Using CAN tools to verify system behaviour, diagnose faults and optimise machine functionality. Leading structured fault-finding activities across electrical and control systems. Supporting programme delivery through design reviews, gateway processes and change management. Working with suppliers on electrical components including ECUs, sensors and wiring harnesses. Qualifications & Experience A degree in Electrical Engineering, Electronic Engineering, Mechatronics Engineering or a related discipline. A minimum of 2 years experience within automotive, off-highway, mobile machinery or similar engineering environments. Strong understanding of electrical architectures, including 12V/24V systems. Experience with CAN communication protocols, including J1939. Knowledge of control systems, electrical integration and machine-level functionality. Experience with system validation, testing and electrical fault finding. Ability to analyse technical issues and apply structured problem-solving techniques. Strong communication skills with the ability to collaborate across multidisciplinary engineering teams. Experience working with engineering documentation, requirements management and development processes. Summary This is an exciting opportunity to join a world-leading engineering organisation and play a key role in developing the next generation of intelligent off-highway machines. As an Electrical / E&C Systems Engineer, you will work on advanced electrical architectures, control systems and emerging technologies, seeing your designs progress from concept through to real-world machine applications.
Software Engineer II - Clock Tree Synthesis (CTS), Innovus R&DApplylocations: CAMBRIDGEtime type: Full timeposted on: Posted 5 Days Agojob requisition id: R55345 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality.Cadence customers are the world's most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Software Engineer - Clock Tree Synthesis (CTS), Innovus R&D Location: Cambridge, UK Reports to: Sr Software Architect Job Overview: This is an early-career software engineering role within Cadence's Innovus R&D team, focused on Clock Tree Synthesis (CTS) - a core component of physical chip design that directly influences chip performance and power efficiency.You will contribute to the development and improvement of high-performance EDA algorithms while exploring innovative AI-driven approaches to design automation.Working alongside a collaborative, global team in Cambridge, you will be supported by strong mentorship as you grow your technical depth and make a meaningful contribution to industry-leading chip design tools. Job Responsibilities: Design and implement EDA algorithms: Build and refine CTS algorithms in C/C++, with a focus on performance, quality of results (QoR), scalability, and correctness across diverse chip design scenarios. Debug, optimise, and enhance CTS capabilities: Identify and resolve performance bottlenecks and robustness issues within the Innovus platform, improving reliability and runtime efficiency. Develop AI-driven and automated workflows: Apply emerging agentic and data-driven approaches to explore design trade-offs, reduce manual effort, and improve the adaptability of physical design flows. Explore adaptive techniques for physical design: Investigate and prototype data-informed methods that improve tool reliability and design outcomes across varying chip architectures. Collaborate with global R&D teams: Partner with engineers and researchers across Cadence's worldwide offices to align on technical direction, share findings, and contribute to roadmap development. Communicate technical work clearly: Document algorithms, design decisions, and experimental findings through code reviews, written summaries, and team discussions. Stay current with the field: Actively engage with advances in algorithms, AI/ML, and EDA research to bring new thinking into the team's work. Job Qualifications: MSc in Computer Science, Electrical Engineering, or a related numerate discipline - or equivalent practical experience in a relevant technical field. Strong programming skills in C/C++, developed and applied in a Linux or Unix-like environment. Solid understanding of core data structures and algorithms, with the ability to analyse and reason about algorithmic complexity. Effective problem-solving approach, with the ability to break down complex technical challenges and communicate findings clearly to colleagues. Additional Skills/Preferences: The following are not required, but would be a welcome addition: Exposure to AI/ML techniques, optimisation methods, or automated decision-making systems. Familiarity with EDA concepts such as timing analysis, clock tree synthesis, or physical design flows. Experience with multi-threaded or parallel programming in performance-critical environments. Curiosity about the behaviour and improvement of large-scale software systems. Demonstrated interest in learning new tools, techniques, or problem domains - through personal projects, research, or coursework. Additional Information: This role is based in Cadence's Cambridge, UK office, within the Innovus R&D team - a technically rich environment where researchers and engineers collaborate closely on some of the most complex problems in chip design. The team is global, and you will have regular opportunities to work with colleagues across different geographies and disciplines.The Innovus platform is used by many of the world's foremost chip designers, and your contributions will have real impact on a product at the heart of modern semiconductor design. This role is well-suited to someone early in their career who is eager to develop deep expertise in algorithms and AI-driven design, supported by dedicated mentorship and a culture that values technical curiosity and continuous learning.Key tools and environments include: C/C++, Linux/Unix systems, and the Innovus EDA platform. Familiarity with version control and software engineering best practices is expected. Check what we can offer you: Competitive salary 25 days holiday per year Private Medical and Dental plans, Income Protection and Life Insurance Group Personal Pension Plan Cycle to work scheme and gym subsidy 5 days paid time to volunteer to give back to our communities Employee Stock Purchase Plan The opportunity to work for a Great Place to Work & Fortune 100 organizationCadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace.
18/07/2026
Full time
Software Engineer II - Clock Tree Synthesis (CTS), Innovus R&DApplylocations: CAMBRIDGEtime type: Full timeposted on: Posted 5 Days Agojob requisition id: R55345 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality.Cadence customers are the world's most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Software Engineer - Clock Tree Synthesis (CTS), Innovus R&D Location: Cambridge, UK Reports to: Sr Software Architect Job Overview: This is an early-career software engineering role within Cadence's Innovus R&D team, focused on Clock Tree Synthesis (CTS) - a core component of physical chip design that directly influences chip performance and power efficiency.You will contribute to the development and improvement of high-performance EDA algorithms while exploring innovative AI-driven approaches to design automation.Working alongside a collaborative, global team in Cambridge, you will be supported by strong mentorship as you grow your technical depth and make a meaningful contribution to industry-leading chip design tools. Job Responsibilities: Design and implement EDA algorithms: Build and refine CTS algorithms in C/C++, with a focus on performance, quality of results (QoR), scalability, and correctness across diverse chip design scenarios. Debug, optimise, and enhance CTS capabilities: Identify and resolve performance bottlenecks and robustness issues within the Innovus platform, improving reliability and runtime efficiency. Develop AI-driven and automated workflows: Apply emerging agentic and data-driven approaches to explore design trade-offs, reduce manual effort, and improve the adaptability of physical design flows. Explore adaptive techniques for physical design: Investigate and prototype data-informed methods that improve tool reliability and design outcomes across varying chip architectures. Collaborate with global R&D teams: Partner with engineers and researchers across Cadence's worldwide offices to align on technical direction, share findings, and contribute to roadmap development. Communicate technical work clearly: Document algorithms, design decisions, and experimental findings through code reviews, written summaries, and team discussions. Stay current with the field: Actively engage with advances in algorithms, AI/ML, and EDA research to bring new thinking into the team's work. Job Qualifications: MSc in Computer Science, Electrical Engineering, or a related numerate discipline - or equivalent practical experience in a relevant technical field. Strong programming skills in C/C++, developed and applied in a Linux or Unix-like environment. Solid understanding of core data structures and algorithms, with the ability to analyse and reason about algorithmic complexity. Effective problem-solving approach, with the ability to break down complex technical challenges and communicate findings clearly to colleagues. Additional Skills/Preferences: The following are not required, but would be a welcome addition: Exposure to AI/ML techniques, optimisation methods, or automated decision-making systems. Familiarity with EDA concepts such as timing analysis, clock tree synthesis, or physical design flows. Experience with multi-threaded or parallel programming in performance-critical environments. Curiosity about the behaviour and improvement of large-scale software systems. Demonstrated interest in learning new tools, techniques, or problem domains - through personal projects, research, or coursework. Additional Information: This role is based in Cadence's Cambridge, UK office, within the Innovus R&D team - a technically rich environment where researchers and engineers collaborate closely on some of the most complex problems in chip design. The team is global, and you will have regular opportunities to work with colleagues across different geographies and disciplines.The Innovus platform is used by many of the world's foremost chip designers, and your contributions will have real impact on a product at the heart of modern semiconductor design. This role is well-suited to someone early in their career who is eager to develop deep expertise in algorithms and AI-driven design, supported by dedicated mentorship and a culture that values technical curiosity and continuous learning.Key tools and environments include: C/C++, Linux/Unix systems, and the Innovus EDA platform. Familiarity with version control and software engineering best practices is expected. Check what we can offer you: Competitive salary 25 days holiday per year Private Medical and Dental plans, Income Protection and Life Insurance Group Personal Pension Plan Cycle to work scheme and gym subsidy 5 days paid time to volunteer to give back to our communities Employee Stock Purchase Plan The opportunity to work for a Great Place to Work & Fortune 100 organizationCadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace.
Senior AI Researcher BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments. The Role As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers. You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance. Key Responsibilities Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations. Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won't just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform. Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models. Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements. External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics." Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists. Essential Requirements: PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field. 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments. Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops. Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals). Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks. Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics. Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."
18/07/2026
Full time
Senior AI Researcher BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments. The Role As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers. You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance. Key Responsibilities Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations. Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won't just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform. Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models. Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements. External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics." Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists. Essential Requirements: PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field. 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments. Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops. Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals). Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks. Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics. Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."
Senior Embedded Software Engineer Gloucestershire T2M Resourcing are currently partnered with an international engineering business operating at the cutting edge of motion control, robotics, and industrial automation. They design and build advanced motion controllers used in highly precise applications, think CNC machinery, 3D printing, and robotic arms. Where complex, synchronised movement across multiple axes is critical. What will you be doing? As a Senior Embedded Software Engineer: You'll play a key role in developing next-generation motion control systems. You'll be working across ARM-based platforms (RTOS and bare metal), focusing on integrating and optimising algorithms that govern complex motion control through 2D and 3D. Architecting and developing embedded software for advanced motion and robotic systems. Designing and optimising real-time algorithms. Working across ARM-based platforms (RTOS and bare metal). Collaborating closely with hardware and applications teams on bespoke systems. Contributing across the full lifecycle, from concept through to deployment and support. Mentoring engineers and influencing technical direction. What are we looking for? To be successful as Senior Embedded Software Engineer, you will have the following skills and experience: You'll be someone who enjoys the mathematics and physics of problem solving in an embedded environment. If you've worked on algorithm development before that's great, as this role will largely be focused in integrating the mathematics of motion into the controllers. You may have worked on things like acceleration, trajectory, path planning or precise control applications with an aim of optimising, smoothing or refining software control. You'll have broad experience covering a few areas: Strong embedded C/C++ experience. Experience with ARM architectures. Background in RTOS and/or bare metal development. It would be great if you have an interest in algorithm development and optimisation, or a solid grounding in control theory, inverse kinematics, system modelling, motor control or industrial automation (PLC) experience. What can you expect? This is a fascinating niche to operate, working with both big and small projects from automated robotic manufacturing in automotive to high end Hollywood camera systems used in film and everything in between, you'll get to: Work in an R&D Environment On genuinely cutting-edge technology in robotics and industrial automation Be part of a business with a global footprint and strong engineering culture Opportunity to solve complex problems that directly impact physical systems This is a niche space, but if you've worked in embedded systems where precision and performance really matter, it could be a great fit. T2M Resourcing is an equal opportunities employer.
07/07/2026
Full time
Senior Embedded Software Engineer Gloucestershire T2M Resourcing are currently partnered with an international engineering business operating at the cutting edge of motion control, robotics, and industrial automation. They design and build advanced motion controllers used in highly precise applications, think CNC machinery, 3D printing, and robotic arms. Where complex, synchronised movement across multiple axes is critical. What will you be doing? As a Senior Embedded Software Engineer: You'll play a key role in developing next-generation motion control systems. You'll be working across ARM-based platforms (RTOS and bare metal), focusing on integrating and optimising algorithms that govern complex motion control through 2D and 3D. Architecting and developing embedded software for advanced motion and robotic systems. Designing and optimising real-time algorithms. Working across ARM-based platforms (RTOS and bare metal). Collaborating closely with hardware and applications teams on bespoke systems. Contributing across the full lifecycle, from concept through to deployment and support. Mentoring engineers and influencing technical direction. What are we looking for? To be successful as Senior Embedded Software Engineer, you will have the following skills and experience: You'll be someone who enjoys the mathematics and physics of problem solving in an embedded environment. If you've worked on algorithm development before that's great, as this role will largely be focused in integrating the mathematics of motion into the controllers. You may have worked on things like acceleration, trajectory, path planning or precise control applications with an aim of optimising, smoothing or refining software control. You'll have broad experience covering a few areas: Strong embedded C/C++ experience. Experience with ARM architectures. Background in RTOS and/or bare metal development. It would be great if you have an interest in algorithm development and optimisation, or a solid grounding in control theory, inverse kinematics, system modelling, motor control or industrial automation (PLC) experience. What can you expect? This is a fascinating niche to operate, working with both big and small projects from automated robotic manufacturing in automotive to high end Hollywood camera systems used in film and everything in between, you'll get to: Work in an R&D Environment On genuinely cutting-edge technology in robotics and industrial automation Be part of a business with a global footprint and strong engineering culture Opportunity to solve complex problems that directly impact physical systems This is a niche space, but if you've worked in embedded systems where precision and performance really matter, it could be a great fit. T2M Resourcing is an equal opportunities employer.
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family - the Alpha Wheeled industrial robot and the Alpha Bipedal home robot - both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics. What You'll Do Team Leadership & Product Security Delivery Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle. Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems. Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats - including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture. Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms. Security Assurance & Certification Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation. Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act. Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects - with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users. Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification. Incident Response & Lifecycle Security Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis. Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations. Commercial & Bid Support Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope. Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions. What We're Looking For Proven, hands on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes. Experience owning a security risk management system for highly regulated, safety critical products - with background drawn from automotive, commercial vehicle, or industrial automation environments. Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context. Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co development. Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk prioritised manner. Clear, structured communication skills - able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence. Preferred: Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. Understanding of secure by design principles for AI/ML enabled systems, including securing inference pipelines, model integrity, and cloud to edge communication paths. Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems. Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme. Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments. Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS). What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Work at the frontier - collaborate daily with world class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
06/07/2026
Full time
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family - the Alpha Wheeled industrial robot and the Alpha Bipedal home robot - both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics. What You'll Do Team Leadership & Product Security Delivery Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle. Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems. Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats - including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture. Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms. Security Assurance & Certification Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation. Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act. Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects - with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users. Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification. Incident Response & Lifecycle Security Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis. Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations. Commercial & Bid Support Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope. Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions. What We're Looking For Proven, hands on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes. Experience owning a security risk management system for highly regulated, safety critical products - with background drawn from automotive, commercial vehicle, or industrial automation environments. Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context. Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co development. Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk prioritised manner. Clear, structured communication skills - able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence. Preferred: Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. Understanding of secure by design principles for AI/ML enabled systems, including securing inference pipelines, model integrity, and cloud to edge communication paths. Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems. Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme. Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments. Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS). What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas-New Year shutdown). Private healthcare, including virtual and in person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Work at the frontier - collaborate daily with world class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
South East, United Kingdom Permanent Posted February 2026 About the Role Our client, an engineering organisation developing advanced power electronics and electrified vehicle systems, is seeking a Senior Electronics Design Engineer to lead PCB and hardware design activities. The role involves owning hardware design from concept through to production release, working closely with embedded software, systems, and mechanical teams. You will be responsible for the design of complex, high-reliability electronics for demanding automotive and industrial environments, with a strong emphasis on signal integrity, EMC, and design-for-manufacture principles. Key Responsibilities Lead electronics hardware design from requirements capture through to production release Design and review complex multi-layer PCBs for power electronics, motor control, and ECU applications Define and own hardware architecture for new products and platforms Perform schematic capture and PCB layout using industry-standard EDA tools (e.g. Altium Designer) Conduct design reviews, FMEA, and DFM/DFT analysis Support hardware bring-up, debug, and validation activities in the lab Collaborate with embedded software engineers on hardware/software interface definition Work with supply chain and manufacturing teams to support component selection and qualification Produce and maintain hardware design documentation to appropriate standards Mentor junior engineers and contribute to team capability development Degree in Electronics, Electrical Engineering, or equivalent Significant experience in electronics hardware design for automotive, industrial, or high-reliability applications Strong proficiency with Altium Designer or equivalent EDA tooling Experience designing for EMC compliance and signal integrity in mixed-signal environments Familiarity with automotive communication protocols (CAN, LIN, Ethernet, SPI, I C) Experience with hardware bring-up, oscilloscope debugging, and lab-based validation Understanding of functional safety principles (ISO 26262 awareness beneficial) Strong documentation skills and experience with formal design review processes Experience with high-voltage or high-current power electronics hardware Familiarity with AUTOSAR hardware abstraction layer requirements Experience with SPICE simulation or equivalent circuit modelling tools Background in EV, HEV, or powertrain electronics
02/07/2026
Full time
South East, United Kingdom Permanent Posted February 2026 About the Role Our client, an engineering organisation developing advanced power electronics and electrified vehicle systems, is seeking a Senior Electronics Design Engineer to lead PCB and hardware design activities. The role involves owning hardware design from concept through to production release, working closely with embedded software, systems, and mechanical teams. You will be responsible for the design of complex, high-reliability electronics for demanding automotive and industrial environments, with a strong emphasis on signal integrity, EMC, and design-for-manufacture principles. Key Responsibilities Lead electronics hardware design from requirements capture through to production release Design and review complex multi-layer PCBs for power electronics, motor control, and ECU applications Define and own hardware architecture for new products and platforms Perform schematic capture and PCB layout using industry-standard EDA tools (e.g. Altium Designer) Conduct design reviews, FMEA, and DFM/DFT analysis Support hardware bring-up, debug, and validation activities in the lab Collaborate with embedded software engineers on hardware/software interface definition Work with supply chain and manufacturing teams to support component selection and qualification Produce and maintain hardware design documentation to appropriate standards Mentor junior engineers and contribute to team capability development Degree in Electronics, Electrical Engineering, or equivalent Significant experience in electronics hardware design for automotive, industrial, or high-reliability applications Strong proficiency with Altium Designer or equivalent EDA tooling Experience designing for EMC compliance and signal integrity in mixed-signal environments Familiarity with automotive communication protocols (CAN, LIN, Ethernet, SPI, I C) Experience with hardware bring-up, oscilloscope debugging, and lab-based validation Understanding of functional safety principles (ISO 26262 awareness beneficial) Strong documentation skills and experience with formal design review processes Experience with high-voltage or high-current power electronics hardware Familiarity with AUTOSAR hardware abstraction layer requirements Experience with SPICE simulation or equivalent circuit modelling tools Background in EV, HEV, or powertrain electronics
