11 jobs found

"At" Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work. Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade - wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively. Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We're looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication. A hands-on building role: taking AI features from idea to shipped, working software quickly, inside real products that real businesses depend on. You design prompts, manage context, integrate models, build evaluations and handle the plumbing and the polish - all of it. Crucially, most of this work happens in established C# .NET codebases, not greenfield projects. Klipboard's products have been earning their keep for years, and the job is landing modern AI capability inside them cleanly, without breaking what already works. Fast matters here, but fast with evidence - every AI feature needs evaluation behind it before customers see it. We would rather you shipped something measured and honest this sprint than something perfect next quarter. Key Responsibilities: Role Accountabilities Build AI features quickly and properly - from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade - error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. Stay sharp and share as you go - keeping up with a fast-moving space and spreading knowledge through code, examples and conversation. Key Activities and Contributions Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer. Work primarily in C# .NET, integrating AI capability into established codebases through clean service boundaries, sensible abstractions and respect for the code that is already there. Move fast on real deadlines - prototype in days, harden in weeks, and know the difference between a corner that can be cut and one that cannot. Build evaluation alongside the feature, not after it - test against real business cases, measure quality honestly, and let the numbers settle arguments. Handle the unglamorous parts well: error handling, fallbacks when a model misbehaves, latency, token cost, logging and monitoring. Work with the engineers who own each codebase, fitting in with their patterns and pipelines rather than parachuting in something nobody else can maintain. Keep up as models, tools and providers change, and choose pragmatically on quality, cost and latency rather than habit. Share what you learn with engineers around you through code, examples and conversation. Work with product managers, product owners and subject matter experts to understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and Technology C# .NET (primary development language) AI coding tools: GitHub Copilot, Cursor or equivalents Prompt engineering and context design patterns Retrieval-augmented generation (RAG), vector search, embeddings (desirable) Evaluation frameworks and automated quality pipelines for AI outputs Technical and Professional Expertise Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Core Responsibilities and Contributions Deliver AI features end-to-end: from requirement understanding through to shipped, evaluated product capability. Maintain production-grade quality: error handling, fallbacks, latency management, logging and monitoring - an AI feature is production software, with extra ways to fail. Care about accuracy, safety and data handling - customers run their businesses on the answers our software gives them. Leave things better documented than you found them, so the next engineer can pick up your work without an archaeology project. Prototype fast, harden properly, and know the difference between a corner that can be cut and one that cannot. Customer Experience Ensure AI features deliver accurate, trustworthy answers - a confidently wrong price, part match or stock answer is worse than no answer at all. Understand the business problem behind each feature, not just the technical solution. Work with product managers and subject matter experts to ensure AI capability genuinely serves customer needs. Key Outcomes and Activities AI capability shipped into at least one established product with evaluation behind it within the first six months. Something built has gone from idea to customers in weeks, and held up in production. Evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship. Engineers around you have picked up techniques from your work, even though teaching is not your primary job. You can explain the business problem behind each feature you have built, not just the technical solution. Bias to action - would rather build the small version today and learn from it than plan the big version for a month. Honest about quality - measures, shows working, and does not ship something they would not stand behind. Respectful of existing code and the engineers who maintain it - established systems are established for a reason, and working well within them is a skill you are proud of. Curious about the trades Klipboard's customers work in, because domain detail is where the good prompts come from. Comfortable with change - the tools will look different in six months, and that suits you fine. Additional Responsibilities (as aligned to company job architecture) Leave documentation in better shape than you found it so the next engineer can pick up your work without needing to ask. Contribute to shared knowledge and engineering standards as the team's AI practice matures. Key Relationships (Internal and external) Internal Product managers and product owners (requirement understanding and feature scoping) Engineering teams who own the established codebases you build into Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive) Senior Applied AI Engineer and R&D engineering leadership External LLM platform and tooling providers (as needed) Required Qualifications and Experience Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and Experience Retrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their trade-offs. Exposure to any of Klipboard's sectors: distributive trades, rental, retail, automotive aftermarket parts or garage management. Experience modernising or extending long-lived systems, in .NET or elsewhere. Familiarity with evaluation frameworks, test datasets or automated quality pipelines for AI outputs. Klipboard is embracing AI at pace across our products and ways of working. We're looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes . click apply for full job details

Business UnitVBU - TrakM8Job DescriptionJob PurposeThe Senior Embedded Linux & Vision AI Engineer leads the technical development of Trakm8's embedded Linux device platforms and AI-powered camera products, taking them from working prototypes through to reliable, certified, production devices deployed in customer fleets. The role combines deep embedded Linux platform work (BSP, kernel, drivers, build systems, OTA updates) with the deployment and optimisation of computer vision models on resource-constrained edge hardware.As the senior engineer in this domain, the postholder sets the technical direction for embedded Linux and vision AI within the Devices team, raises the capability of colleagues through mentoring and documented practices, and ensures this critical area is never dependent on a single person.For candidates with proven engineering leadership experience, this role may be combined with the Devices Team Lead position; please indicate in your application if you wish to be considered for the combined role.Key Responsibilities:Embedded Linux PlatformOwn the embedded Linux platform for camera and device products: BSP maintenance, kernel and driver work, and build systems (Yocto or Buildroot)Design and maintain robust OTA update, provisioning and device management mechanismsOptimise boot time, power management and system reliability for vehicle-mounted, battery-conscious devicesVision AI & Camera SystemsIntegrate, optimise and deploy computer vision models on edge hardware (TensorFlow Lite, ONNX Runtime), including quantisation and hardware acceleration (NPU/GPU/DSP)Develop and tune the camera pipeline (V4L2, ISP configuration) for automotive imaging conditionsDefine and track accuracy and performance metrics for vision features, and improve them release on releaseProductisation & DeliveryTake camera and device products from prototype through field trials to production releaseSupport certification, type approval and manufacturing test for new devicesWork with hardware, cloud and platform teams to deliver complete end-to-end solutionsQuality & SecurityImplement secure boot, signed updates and device hardening in line with UN R155/R156 requirementsEstablish automated testing and CI for firmware images and model updatesEnsure releases meet reliability, safety and regulatory expectations for automotive devicesTechnical Leadership & MentoringSet standards and documented practices for embedded Linux and vision AI developmentMentor and develop other engineers in the team, sharing knowledge deliberately to remove single points of failureContribute to technical strategy and roadmaps with the Devices Team Lead, Architecture function and CPTOChampion AI-assisted development tools and modern engineering practiceSkills / Experience / Competency Required:Essential5+ years of embedded Linux development experience: kernel, drivers, BSP work and build systems (Yocto or Buildroot)Strong C and C++ skills, with Python for tooling, testing and ML workflowsProven experience deploying and optimising ML/computer vision models on edge hardware, including quantisation and hardware acceleration (e.g. TensorFlow Lite, ONNX Runtime)Experience with computer vision frameworks and models (OpenCV, YOLO-class detectors)Experience with camera subsystems and pipelines (V4L2, ISP tuning, MIPI-CSI)Track record of taking embedded products from prototype to production and field deploymentAbility to define and work to measurable accuracy, performance and power targetsClear communicator, able to explain complex technical trade-offs to technical and non-technical audiencesDesirableAutomotive experience: CAN/vehicle protocols, ISO 26262, ASPICE, UN R155/R156Engineering leadership or line management experience (relevant to the combined Team Lead option)Cellular IoT (LTE-M, NB-IoT, 5G) and wireless connectivity experienceHardware security and cryptographic implementations (secure boot, secure elements)MLOps for edge devices: model versioning, telemetry-driven retraining, fleet rollout of modelsExperience with driver monitoring, ADAS or other automotive vision applicationsPersonal Attributes:Technically credible senior engineer who leads by example and earns trust quicklyPragmatic, able to balance research-quality ambition with shipping reliable productsGenerous with knowledge; mentors and documents by defaultProactive problem-solver who anticipates risks and takes ownership of outcomesResilient and calm under pressure, comfortable with ambiguity and hard technical problemsInnovative and curious, continually seeking better ways of working and embracing new technologiesQuality-driven, with high personal standards and attention to detailOur Values:We're a close-knit team who care about each other, our customers and making a positive impact, our values drive who we are and the decisions we make:Caring & Committed - We show up for each other and deliver with dedicationMake a Difference - We create impact that mattersRelentless - We push forward until we succeedDo the Right Thing - We choose integrity every timeJoy of the Journey - We enjoy the ride and celebrate along the wayHealth & Safety:As a Trakm8 Group employee, you have the following H&S responsibilities:To comply with the Group H&S policy and proceduresTo take care of your own health and safety and that of people who may be affected by what you do (or what you do not do)To co-operate with others on health and safetyTo not interfere with, or misuse, anything provided for your health, safety or welfareTo wear/use the correct Protective Equipment at all timesTo follow the training you have received at all timesInformation Security:As a Trakm8 Group employee, you have the following Information Security responsibilities:To follow the Group Information Security policies at all times;To follow the Trakm8 Secure Development Policy at all times;To ensure that passwords under your responsibility are kept confidential;To keep Group or Company information secure and confidential at all times;To inform your manager immediately if you detect, suspect or witness an incident that may be a breach of securityThis role requires screening in the below areas:ReferencesPre-Employment Credit CheckThe above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. All job descriptions are subject to possible modifications in line with the needs of the business.

# 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

Permanent Full Time Professional Bristol, Bristol, England, GB 4 days ago Requisition ID: 3284 At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work. Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade - wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively. Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We're looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication. This is a high-impact senior engineering role for someone who wants to shape how a large engineering organisation uses AI in real products and real development work. You will set patterns, create evaluation standards, coach engineers and help Klipboard turn AI from individual experimentation into repeatable, scalable engineering practice. The role is two jobs in one: the craft of getting reliable, measurable results from large language models through prompt engineering, context design and evaluation; and making everyone around you better at it. With hundreds of engineers across the UK and South Africa, the difference between an organisation where a few people prompt well and one where everyone does is enormous. Your success is measured less by what you personally produce and more by how quickly the engineers around you improve. Key Responsibilities Role Accountabilities Practise the craft at a high level - designing, building and refining prompts, context strategies and agentic workflows for AI features in our products. Grow the engineers around you - coaching, pairing, workshops and building shared assets that spread good practice across hundreds of engineers. Set standards and keep the organisation honest - defining what good looks like for prompting, evaluation and context engineering, and maintaining those standards as tools change. Key Activities and Contributions Design, build and refine prompts, context strategies and agentic workflows for AI features in Klipboard products, where a confidently wrong price, part match or stock answer is worse than no answer. Build evaluation into everything - test prompts against real business cases at scale, measure quality honestly, and treat "it looked fine when I tried it" as the start of the work, not the end. Work across models and providers, choosing pragmatically on quality, cost and latency rather than loyalty, and keeping up as models, tools and providers change quickly. Get deep into the domain detail with product teams and subject matter experts, because a prompt is only as good as the understanding of the business problem behind it. Coach engineers across teams to get dramatically more from AI coding tools and LLMs, through pairing, reviews, workshops and patient one-to-one help. Build and maintain shared prompt patterns, reusable templates, evaluation harnesses and internal guides, so good practice spreads as assets rather than folklore. Run an internal community of practice where engineers share what is working, what failed and why, and make it somewhere people actually want to show up. Help define what good looks like for prompting, context engineering and evaluation across R&D, and keep those standards current as tools and models change. Share measurable results with engineering leadership, including where AI tooling is genuinely paying off and where it is not. Systems, Tools and Technology Large language model APIs across multiple providers (GPT, Claude, Llama and equivalents) AI coding tools: GitHub Copilot, Cursor or equivalents Prompt engineering, context design and agentic workflow frameworks Evaluation harnesses, evaluation datasets and automated test suites for AI outputs Retrieval-augmented generation (RAG), vector search, embeddings and retrieval pipelines (desirable) LLM orchestration frameworks (LangChain, Semantic Kernel or equivalents - desirable) Technical and Professional Expertise Strong software engineering background with several years building and shipping production software. Substantial hands-on experience with large language models: prompt design, context engineering and structured outputs, in real work rather than personal experiments alone. Experience building evaluations or test harnesses for LLM outputs, and using them to improve quality measurably. Clear evidence of growing other engineers - through mentoring, teaching, internal training, communities of practice or similar. Daily working fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents, with a practical view of where they help and where they mislead. Core Responsibilities and Contributions Deliver AI features in Klipboard products with proper evaluation and measurable quality standards. Embed prompt engineering and evaluation best practice across the R&D organisation. Be the sceptical voice when something demos well but will not hold up in production; be the encouraging one when a genuinely good idea needs backing. Maintain high standards for safety, accuracy and data handling in everything that ships - customers run their businesses on the answers our software gives them. Build and sustain a living library of prompt patterns, templates and guides. Meet engineers where they are, including those working in long-established codebases, where getting real value from AI tools is some of the highest-leverage work in the company. Customer Experience Ensure AI features in Klipboard products give accurate, safe and trustworthy answers - customers run their businesses on our output. Work with product teams and subject matter experts to understand the business problem behind each feature properly before building. Prevent confidently wrong answers - incorrect prices, part matches or stock levels - from reaching customers. Key Outcomes and Activities Engineers across several teams can point to specific things they now do better because of coaching and knowledge-sharing. At least one AI feature or workflow shipped per quarter with proper evaluation behind it. A living, used library of prompt patterns, templates and guides in place and growing. Community of practice running, well attended, and producing outputs teams actually reuse. Engineering leadership has a clearer, evidence-based picture of where AI is paying off. Generous with knowledge and genuinely energised by other people getting better. If the instinct is to guard expertise rather than spread it, this is the wrong role. Rigorous and honest about results - measures, shows working, and says so when data disagrees with the enthusiasm. Patient with engineers at every level of AI maturity, from those who live in these tools to those who are quietly sceptical of the whole thing. Curious about the trades Klipboard customers work in, because the best prompts are full of domain understanding. Calm about the pace of change - treats model and tooling shifts as the interesting part of the job, not a threat. Works closely with engineering leadership, architecture, product and cross-site engineering teams across the UK and South Africa. Additional Responsibilities (as aligned to company job architecture) Some travel between Klipboard's UK and South Africa offices as part of the coaching and community-building remit. Keep standards current as models, tools and providers change rapidly. Represent Klipboard's engineering practice externally where appropriate - talks, writing or open-source contributions. Key Relationships (Internal and external) Internal Engineering leadership and architecture teams R&D engineering teams across Newcastle, Tankersley, Hungerford, Johannesburg and Cape Town / Stellenbosch Product managers and product owners Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive) External AI and LLM platform and tooling providers (as needed) Required Qualifications and Experience Strong software engineering background with several years building and shipping production software - this role needs an engineer first. Substantial hands on experience with large language models: prompt design, context engineering and structured outputs, in real work rather than personal experiments alone. Experience building evaluations or test harnesses for LLM outputs . click apply for full job details

Overview Permanent employee, Full-time - Swindon STARK is a defense technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned vehicles that are software-defined, mass-scalable, and cost effective - giving NATO and its allies a decisive edge in the most contested environments. We're focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today. Role Your mission We are seeking a talented Backend Engineer to design and build the backbone of next-generation systems that integrate data, sensors, and control applications into secure, high-performance software. You will contribute to technology that powers aerospace, automotive, robotics, and defence-related platforms where real-world devices meet advanced software. Responsibilities Coding first! - Develop and maintain the backend of our core software systems. Design, build, and extend APIs and SDKs to integrate assets, sensors, and external applications. Expand and optimise our architecture to deliver scalable, reliable solutions. Integrate and extend existing software, ensuring interoperability across complex systems. Implement relevant standards (including STANAG and industry protocols). Manage high-volume mission and sensor data storage and processing. Conduct rigorous testing of both software and system-level functionality. Contribute to improving our C++ development environment. Stay current with emerging technologies, identifying innovations to enhance our products. Deep-dive into complex technical issues, solving challenging problems at system level. Evaluate and challenge requirements, focusing on what adds real value. Qualifications Bachelor's or Master's degree in Engineering, Computer Science, or a related field. Strong proficiency in C++ (Rust experience a strong plus). Experience with server applications and API integration. Solid understanding of software architecture and frameworks. Background in autopilot, flight control systems, robotics, or similar control technologies is highly desirable. Experience with integrated sensor systems, inter-process communication, or TypeScript (frontend) is a plus. Relevant experience in aerospace, automotive, robotics, IoT, or connected real-world devices. Excellent problem-solving and debugging skills. Strong collaboration and communication skills for multidisciplinary teamwork. Adaptability to thrive in a fast-moving, innovative environment. Eligibility for UK Security Clearance is essential. Willingness to travel in the UK and Europe when required. Legal and Equal Opportunity We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law. Due to the nature of our work in the defense sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for the position.

We're seeking a skilled and experienced Senior ADAS Embedded Software Engineer - Classic AUTOSAR to join JLR as part of the growing ADAS Platform and ECU Architecture team. This is a key role focused on shaping the software foundations that underpin next generation driver assistance and automated driving systems. You will be working at the heart of ECU architecture, developing and configuring Classic AUTOSAR on multi core microcontrollers that control critical vehicle interfaces. In this role, you will design, implement, integrate and validate embedded software within a complex AUTOSAR environment, ensuring requirements are clearly defined, traceable and delivered to a high standard. Working closely with architecture and Functional Safety teams, you will help translate system level requirements into robust, production ready software, while contributing to reusable design patterns across multiple ECU platforms. The work is both technical and collaborative, requiring strong engineering judgement and a structured approach to problem solving. You will also take ownership of key performance considerations, including CPU load, memory usage and efficient task management within real time operating systems. Operating in a multi core MCU environment brings additional complexity, and this role plays a central part in ensuring software is optimised, scalable and aligned across wider vehicle systems. Experience with Vector AUTOSAR tooling and a solid understanding of automotive communication protocols will be highly valuable. This role offers the opportunity to contribute to continuous improvement, support knowledge sharing within the team and help raise standards across the wider ADAS engineering community at JLR. WHAT TO EXPECT In this role, you'll play a key part in delivering high quality outcomes and supporting the wider team through a range of responsibilities, including: Design and develop Classic AUTOSAR software components, BSW modules, and RTE integration for multi core MCU environments Capture and analyse requirements from stakeholders, standards, and supplier documentation, translating them into clear, testable software requirements Allocate requirements across software layers, ensuring full traceability through appropriate tools and structured runnable mapping Define and implement runnable mapping strategies, alongside configuring OS, RTE and BSW modules to meet system and timing requirements Drive timing and performance activities, including WCET analysis, KPI definition, and validation of timing budgets across multiple cores Lead ECU bring up and integration activities, including low level BSP work, inter core synchronisation, and peripheral configuration Support Functional Safety (ISO 26262) and cyber security activities, while collaborating across architecture teams and mentoring junior engineers WHAT YOU'LL NEED To thrive in this role, you'll bring a solid background, relevant certifications, and the following key skills: Degree in Computer Science, Electronic Engineering, or a related discipline Strong embedded software background with proven Classic AUTOSAR experience on production ECUs Demonstrated ability to capture, decompose and trace system and safety requirements into clear software artefacts Strong C programming skills, with exposure to C++ and/or Assembly for low level MCU bring up Hands on experience with multi core MCU architectures and real time operating system configuration Practical experience using Vector AUTOSAR tools, including BSW configuration, runnable mapping and timing analysis Understanding of automotive communication protocols (CAN, CAN FD, Ethernet, UDS) with awareness of Functional Safety (ISO 26262) BENEFITS This role offers a range of benefits: Discounted car purchase (open to family members, too) A 52 week maternity leave policy and a 4 week paternity leave policy. Other parental leave policies are available A JLR company performance related bonus An employee learning scheme providing funding for education, training and other activities which support the development of personal skills and promote lifelong learning Access to open, employee led support and social networks Comprehensive Life Assurance and Income Protection policies Flexible working is offered for specific roles, dependant on responsibilities. Please speak to the hiring team for details. Applicants from all backgrounds are welcome. We believe in people's ability to grow and develop within their role. JLR is committed to equal opportunity for all.

Additional Benefits Success Sharing Bonus Scheme, Contributory pension, on-site parking, Subsidised canteen, Occupational sick pay, Professional membership, Perkbox, Income Protection, Death in service, HealthShield, Sell and Buy Holiday, Cycle to Work Scheme, Workwear Hours of Work 08.00-16.30 Monday to Thursday and 08.00-13.00 Friday Homeworking The role is eligible for ad hoc Hybrid Working after successful probation Company Overview Roxel is an Anglo-French Company that designs, develops and manufactures a range of solid propellant rocket motors for use in tactical missiles. Its operations are spread across several sites in the UK and France and it has an annual turnover of about £250M and nearly 1000 staff, with 300 in the UK. The UK operations are entirely based at Summerfield, Kidderminster, where we have a requirement for a permanent Senior Design Authority reporting to the Design Authority Team Leader within the Development team. The Design Authority role is more commonly known as a Project Engineer, Systems Engineer, or Development Engineer in other organisations, particularly outside of the defence industry. The successful candidate will work as part of a team on projects spanning from concept design, demonstration, development, qualification, and production, through to customer in-service support. Rocket motors combine in one system many diverse scientific and engineering principles. The motor structure must be lightweight yet able to resist the extreme pressures and temperatures associated with propellant combustion. The operational environments are equally severe combining extremes of temperature, mechanical vibration and shock. Although specialist engineers support the Design Authorities, this role offers a unique and stimulating opportunity for engineers willing and able to broaden their knowledge and experience. A Design Authority is methodical and organised in their work and a 'hands on' approach to working is essential. Essential Duties and Responsibilities Promote zero harm objective by operating in accordance with any Health, Safety and Environmental policies and procedures to ensure the safety and wellbeing of staff and visitors and pro actively promote and support SWIM Manage design evolution to meet customer requirements Responsible for clearance of detail production drawings, ensuring conformance to BS8888 and manufacturability Lead and complete DFMEA's Approve production processes and tooling Demonstrate compliance with customer requirements Specify and review structural, thermal and ballistic analyses Review key suppliers' methods of manufacture and control procedures Specify, monitor and report rocket motor trials Lead trials readiness reviews Adhere to internal EN9100 processes, particularly the RD2 process, understand and share Technology Readiness Levels and Class of Difficulty Assessments Produce and deliver formal technical presentations to the customer Produce product technical specifications and detailed technical reports Ensure appropriate validation testing is carried out prior to formal qualifications Lead formal design reviews (PDR, DDR, CDR etc) at the relevant design phases and ensure actions are taken and completed on time Responsible for producing a Certificate of Design for the rocket motor and associated documentation; Qualification reports, Compliance Matrix, Safety Case etc Customer technical interface lead on all technical matters with the missile prime contractor (e.g., MBDA, Thales, SAAB) and the end user (e.g., MoD, DGA) Lead technical investigations Liaison at all levels within the business, manufacturers and suppliers Arrange/manage specific trials such as structural testing, rocket motor firings, laboratory scale testing (quantitative testing of materials, etc) Dis assembly/assessment of fired rocket motor hardware Whilst there is no direct line management of staff, there is a requirement to coach and mentor other team members to develop their engineering skills and knowledge Perform any other duties necessary, as requested to by the business to carry out job function These responsibilities require close liaison and understanding with Roxel specialists in CAD design, stress analysis, thermal analysis, ballistic analysis, solid propellants, materials, trials, production engineering and project management. Experience and Background Qualifications Essential qualifications: A formal qualification (minimum HND or equivalent) in mechanical, aeronautical, physics or related engineering discipline. Alternatively, a fully time served engineer supported by recognised apprenticeship and/or equivalent demonstratable experience in a related discipline Desirable qualifications: Professional membership / Chartered Engineer (CEng) of a relevant institute (e.g., Institute of Mechanical Engineers, Royal Aeronautical Society, Institute of Explosive Engineers) Experience Essential experience Significant previous proven experience in an engineering team environment developing products to meet customer requirements Sound understanding of engineering (mathematics, stressing, materials (metals and polymers) and manufacturing techniques) IT literate with experience of working with Microsoft Office tools (Power Point, Excel, Word, etc) Interest and aptitude in both the theory and practical aspects of engineering and in particular rocket motor design Ability to assimilate and evaluate technical information from a wide range of disciplines with a high attention to detail Ability to present complex problems clearly and logically to other specialist and non specialist engineers Experience working with safety critical products and knowledge of regulatory standards requirements e.g., DEF STAN 07-085 Excellent document/report writing skills Trials/assessment testing experience (e.g., structural testing, vibration, etc) Desirable experience Good understanding of DFMEA, 'Design to Cost' and 'Design for Manufacture' principles Good experience of Project Management and familiarity with P6 Primavera Experience of bids and commercial management in Defence, Automotive or Manufacturing Engineering environment Experience of managing within an EN9100 or Quality Management System culture Person Specification Demonstrate behaviours that align with Roxel's values of 'Commitment', 'Innovation', 'Trust' and 'Teamwork' Proven ability to manage projects through the entire engineering development lifecycle Motivated and driven to deliver results according to defined timescales and expected standards Strong communicator with the ability to build relationships with the customer and other internal technical specialists Strong attention to detail Positive attitude and work ethic Able to manage own time and prioritise tasks Computer literate with sound knowledge of MS Office Word / Excel / PowerPoint etc Security Clearance Obtaining a Security Clearance is a requirement of employment at Roxel UK. Please check guidelines by looking on the link:

Senior Electronics Hardware EngineerApplylocations: Multimatic Electronic Systems - United Kingdom (Cambridge)time type: Full timeposted on: Posted Todayjob requisition id: JR103061We are seeking a Senior Electronics Hardware Engineer to join our growing engineering team to develop a range of ISO 26262 compliant automotive electronics products. You will be part of a highly capable team split between Cambridge (UK) and Toronto (Canada) and will have the opportunity to be involved in all stages of product development from concept through to end of life.We need someone who is experienced in electronic hardware design, with a good grounding in embedded systems. Someone who has previously designed products for manufacture, ideally in an automotive environment, and someone used to working to deadlines and communicating well. We're looking for self-motivated individuals who will embrace our culture - finding ways to say "yes", supporting and developing our engineers, meeting all commitments, being flexible, embracing challenges and ensuring we deliver excellent solutions to our customers. Facility Address: Waterbeach, Cambridge Key Areas of Responsibility: Support architectural development of electronic systems. Requirements capture for electronics hardware Detailed schematic capture Design analysis using appropriate methods; SPICE simulations, derating analysis, DFMEAs, WCCA etc. Creation of PCB layout guidelines Commissioning, verification and validation testing of the hardware including environmental and EMC testing. Appropriate documentation of the designs observing internal, industry and customer standards and processes. Collaborate with and support our manufacturing divisions and external CEM partners through cost down exercises and DFMs. Ownership of designs, devising solutions and solving problems as they arise. Identify areas for improvement including tools, techniques and processes. Preferred not to mandate - 5-10 years experience in automotive or similar regulated industry Experience - Highly Desirable: Architectural development of electronic systems. Circuit design including: H-bridge solenoid, motor and inductive load interfaces. High and low-side MOSFET switches. Current sensing and measurement. Common op-amp circuits (amplifiers, filters, etc.), comparators. Microcontrollers with integrated peripheral functions. 'External-world' analogue and digital interfaces. Communications interfaces: SPI, I2C, CAN, LIN, and Ethernet. Power supplies: linear and switched-mode. Design commission and debug. PCB design, layout and routing using third-party layout resources. Analogue circuit simulation for analysis and performance prediction. Document creation including specifications, design descriptions, design & test reports. Working in a high-quality environment using industry-standard processes both in cross-functional teams and stand-alone. Experience - Desirable: Design for automotive environments. Design of safety-related hardware and functionally safe hardware development. PCB design layout & routing using PCB tools. Design for reliability; derating of components. Reliability analysis, FMEA. Taking a design from architecture through to production. Design for manufacture. Design for test. Design for qualification; EMC, environmental. Product qualification; EMC and environmental testing. Writing simple hardware test software. First degree or higher qualification in electronics engineering or a closely related discipline. Previous Engineering Tools & Lab Experience: Schematic capture. PCB layout viewers, ODB & gerber viewers. SPICE circuit simulators. Use of common lab bench equipment; scopes, signal generators, DMMs, etc. Soldering of through-hole and SMT components. Visa sponsorship is not available for this role. To learn more about Multimatic, check out our youtube channel - If you are interested in this position, apply by sending us your cover letter and resume. We thank all interested candidates in advance; however, only individuals selected for interviews will be contacted. As part of our commitment to ensuring our employment practices are fair, accessible, and inclusive of persons with disabilities, recruitment-related accommodations for disabilities, are available upon request throughout the recruitment and assessment process for applicants with disabilities.

SW Test EngineerUK Full-time Senior About The PositionREE is changing electric mobility and aims at becoming the new standard for EVs.We work with leading automotive players and technology companies to engineer, manufacture and deploy a cutting-edge solution for tomorrow's vehicles.We're looking for an experienced SW Test Engineer. Responsibilities: Work with a high complexity HW and SW systems. Review and analyze product's specifications and requirements. Create detailed, comprehensive, and well-structured testing plans. Design and execute manual tests. Identify, analyze, report and track bugs. Requirements At least 3 years of experience as a test engineer in multi-disciplinary systems or equivalent experience Bachelor degree in Electrical, Electronics, Automotive Engineering - equivalent education also applies. Experience in testing and integration of large complex systems. Automotive background Experience in using testing tools (e.g. Vector CANalyzer, CANoe, CANape, ETAS INCA). Knowledge in automotive protocols (e.g. CAN, LIN, FlexRay, XCP, UDS). Familiarity with requirement management tools (DOORS, Polarion, ClearQuest)- an advantage. Experience in ISO 26262 functional safety standard -an advantage Strong self-learning abilities and a collaborative team player. ILR to live and work in the UK. REE do not offer work permits, visas or sponsorships

SW Test EngineerUK Full-time Senior About The PositionREE is changing electric mobility and aims at becoming the new standard for EVs.We work with leading automotive players and technology companies to engineer, manufacture and deploy a cutting-edge solution for tomorrow's vehicles.We're looking for an experienced SW Test Engineer. Responsibilities: Work with a high complexity HW and SW systems. Review and analyze product's specifications and requirements. Create detailed, comprehensive, and well-structured testing plans. Design and execute manual tests. Identify, analyze, report and track bugs. Requirements At least 3 years of experience as a test engineer in multi-disciplinary systems or equivalent experience Bachelor degree in Electrical, Electronics, Automotive Engineering - equivalent education also applies. Experience in testing and integration of large complex systems. Automotive background Experience in using testing tools (e.g. Vector CANalyzer, CANoe, CANape, ETAS INCA). Knowledge in automotive protocols (e.g. CAN, LIN, FlexRay, XCP, UDS). Familiarity with requirement management tools (DOORS, Polarion, ClearQuest)- an advantage. Experience in ISO 26262 functional safety standard -an advantage Strong self-learning abilities and a collaborative team player. ILR to live and work in the UK. REE do not offer work permits, visas or sponsorships