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hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Your impact: Step into a role where your expertise helps shape the future of combat air. We're looking for a Processor Architect and Design Authority with deep knowledge of processor technologies for military aircraft - someone who has led engineering through every stage, from first concept to final certification. Your work will directly contribute to the international development of the next generation multi function RF system for the Global Combat Air Programme (GCAP) - a programme creating the future fighter aircraft for the UK, Italy and Japan. This is your chance to influence one of the world's most advanced defence programmes and shape the processors at the heart of tomorrow's air combat capability. You will: Define advanced radar processor architectures that blend cutting edge semiconductor technologies with high speed digital design. These systems combine FPGAs, specialised microprocessors and hybrid processing strategies to handle complex mathematical workloads with precision and ultra low latency - all while meeting demanding size, weight, power and cooling constraints. Play a major role in providing leadership and guidance on the engineering activities to deliver Processor solutions across a range of GCAP programs, at differing stages of the design lifecycle. Act as the Technical lead to a multi-disciplined project team in close partnership with key stakeholders. Be responsible for delivered product design, compliance, safety and integrity. Ensure independent product assurance through Design Reviews and ensure Company procedures are adhered to. Represent the Company, supported by Chief Engineers, when engaging with customers and Workshare Partners to define and deliver technical solutions. Be delegated by the business as the Design Authority & Company Technical Signatory for the required products. Own the technical solution for all phases of Processor product development by representing Leonardo with external stakeholders, and representing the Line of Business with internal stakeholders, to ensure all elements of development are considered as part of the integrated Processor platform solution. Ensure Processor products are compliant with any performance, legislative and contractual requirements, with a strategy for completing a traceable evidence set. Ensure robust quality and performance within Processor designs. Work closely with the Project Engineering Lead to ensure cost and time trade-offs are undertaken and then to establish the technical solution coherent with the agreed budgets and timescales. Provide technical direction, control, evaluation and recommendations with respect to risks and opportunities. Lead and mentor the technical team to enable product solution results. Define strategic capability improvements and cost initiatives. What you'll bring : A strong background in development of complex military products. Have experience in developing systems solutions particularly within the radar domain. Experience of working with Requirements, Test Qualification and Acceptance strategies. Experience of managing the Design Standard and associated Configuration Management. Experience in gaining Design Certification and Customer Acceptance. The ability to develop Processing platform technical solutions, compliant with requirements. The ability to produce innovative Processor platform solutions based on an extensive knowledge of the latest processor/FPGA/GPU device families and associated IO standards. Excellent communication and interpersonal skills, to be able to interact with SMEs and End Users of various nationalities regarding a wide range of technical and operational topics. Be self-motivated and capable of working with minimum direction. Have knowledge of Firmware and Software Development. Are degree qualified in a relevant Engineering or Scientific discipline (or equivalent). Are a Chartered Engineer / member of the Institute of Engineering and Technology (IET). Have substantial analytical and technical problem-solving skills. A track record of delivering complex electronic system-of-systems with significant experience working in a similar industrial role. Onsite working is preferred as this is a hardware-based role. Leonardo operates a flexible working policy and so the opportunity for a hybrid working solution could be explored. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Edinburgh Contract Type: Permanent Hybrid Working: Hybrid

hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Your Impact: At Leonardo, we are excited to be recruiting for a skilled FPGA Engineer to work within a multi-disciplinary team for our Precision Guidance area. In this broad FPGA firmware engineering role, you will work across a range of projects throughout various stages of the product lifecycle from initial concept development through to early life production. You will work with some of the latest high-speed FPGA's and System-on-Chips (SoC's) to help shape our future products. The role shall be based in Basildon with a primary focus on the design and development of embedded VHDL firmware for complex airborne electro-optics subsystems. You will be part of the Leonardo Airborne Communications product development group within the Integrated Sensing & Protection line of business, interacting with partner organisations, sub-contractors and potential customers. What you will do: Firmware requirements capture and management. FPGA design and analysis. Production of documentation for other engineers and evidence for design reviews. Development of FPGA test and FPGA integration plans. Perform system integration work with PCB designers and embedded software engineers. Support all firmware designs through the company firmware process - training will be given. Modification of existing firmware designs and test benches. What we are looking for: What you really must have Experience using FPGA technologies especially from either Xilinx, Microsemi (Actel) or Lattice and their tools. Advanced verification techniques using either VHDL or System Verilog / UVM. Specifying complex timing and area constraints for efficient FPGA place and route. Ability to analyse system level requirements and derive detailed Firmware requirements. A methodical approach to the full firmware design lifecycle, working to a structured firmware process such as RTCA DO-254 or similar. Experience of working on safety related firmware to IEC 61508 would be advantageous. De-bugging firmware designs and supporting verification and integration at hardware and system level alongside Software and Hardware Engineers. Making technical decisions and mitigating technical risk for Firmware design activities. Ability to communicate effectively across different disciplines both verbally and in written form. Familiarity with Siemens EDA FPGA development tools including HDL Designer and ModelSim / Questa is an advantage. It would be nice if you had: Awareness of Safety, Security and other legislative constraints Engineering experience with electro-optic systems - e.g. cameras, thermal imagers and/or image processing systems/algorithms. Experience of mentoring more junior members of the team. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Life at Leonardo With a company funded benefits package, a commitment to learning and development, and a flexible approach to working hours focused on the needs of both our employees and customers, a career with Leonardo has never offered as many opportunities or been more accessible to as many people. Flexible Working: Flexible hours with hybrid working options. For part time opportunities, please talk to us Company funded flexible benefits: Access to private healthcare, dental schemes, Workplace ISA, Go Green Car Scheme, technology and lifestyle options (£500 annual allowance) Holidays: 25 days plus bank holidays, option to buy/sell leave and to accrue up to 12 additional flexi leave days per year Pension: Award winning pension scheme (up to 15% employer contribution) Wellbeing: Employee Assistance Programme with access to free mental health support, financial wellbeing support and network groups to demonstrate our ongoing commitment to diversity & inclusion (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity) Lifestyle: Discounted Gym membership, Cycle to work scheme Training: Free access to more than 4000 online courses via Coursera and Linkedin Learning Referral Incentive: You can earn a reward for successfully referring a friend or family member Bonus: Scheme in place for all employees at management level and below For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Basildon Contract Type: Employee-Permanent Hybrid Working: Hybrid

Are you an ambitious FPGA Engineer, excited by the proposition of joining one of the fastest growing companies in Europe?The business has lots of capital, pays excellent salaries and is offering major equity to joiners in 2026.They are at an exciting stage of growth and looking for a Senior FPGA Engineer to design and build the real-time systems powering their first-generation hardware click apply for full job details

Overview Jump Trading Group is committed to world-class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our team is a group of quantitative researchers, engineers, and ML experts leading foundation model research and trading at Jump. Our mission is to combine emerging techniques and original research to generate signals from financial market data and monetize it globally. We are building the future of ML-powered trading through breakthrough foundation models, and we're looking for an exceptional Pre-Training Engineer to join our team. What You'll Do As a Pre-Training Research Engineer, you'll be at the forefront of developing massive-scale foundation models that fundamentally transform how we understand and predict markets, where milliseconds matter and no playbook exists. You'll own and drive the entire training stack: building fault-tolerant infrastructure that scales across thousands of GPUs and TPUs with near-linear performance, engineering data pipelines that stream terabytes per second as our models train on petabytes of data from every corner of the global markets, and designing custom kernels that unlock 10x efficiency gains. Co-designing novel architectures with researchers and pioneering cutting-edge approaches to mixed-precision training and model parallelism, you'll have the latest generation hardware at your disposal. This isn't incremental optimization; we're pushing the boundaries of what's possible in pre-training at scale, where your improvements directly impact live trading. Other duties as assigned or needed. Skills You'll Need Expertise and track record of significant, measurable performance improvements in large-scale distributed training (MFU, throughput, convergence, cost-per-token). Published research in efficient training methods, scaling laws, architectures, or systems for ML Background in numerical computing, HPC, or distributed systems, including familiarity with GPUs/TPUs, high-performance networking (NVLink/InfiniBand), Kubernetes/Slurm, and OS internals Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX) Advanced degree (MS or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field, or equivalent industry experience at a frontier lab Ability to balance ambitious research goals with practical engineering constraints Strong problem-solving skills, results orientation, and excellent collaborative communication Reliable and predictable availability Bonus Points Expertise in: CUDA kernel development, Triton/Pallas/CuTe DSLs, PyTorch/JAX internals, XLA optimization, or hardware acceleration (FPGA/ASIC) Knowledge of reinforcement learning, post-training, or fine-tuning techniques Knowledge of financial markets or trading Benefits Discretionary bonus eligibility Medical, dental, and vision insurance HSA, FSA, and Dependent Care options Employer Paid Group Term Life and AD&D Insurance Voluntary Life & AD&D insurance Paid vacation plus paid holidays Retirement plan with employer match Paid parental leave Wellness Programs Annual Base Salary Range: $300,000 - $350,000 USD

Location New York City; London Employment Type Full time Location Type On-site Department Hardware Compensation $234,001 - $298,252 • Offers Equity We are committed to competitive and equitable compensation based on role, skills, and experience. Salary ranges are guidelines, with final compensation varying by role, experience, and location and reviewed regularly for fairness. Normal Computing Incredible Opportunities The Normal Team builds foundational software and hardware that help move technology forward, supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London. Your Role in Our Mission Look at the AI accelerator roadmaps coming out of every major silicon company right now and you will notice something strange: they are all building the same chip. Bigger systolic arrays. More HBM. More of the same architecture, scaled harder. The industry has placed a collective bet that the way to win the next decade of AI inference is to refine the GPU paradigm until it cannot be refined any further. We know that bet is wrong. Normal is building ASICs purpose-built for image and video diffusion inference, grounded in the physics of computation rather than the assumptions everyone else has inherited. The compute substrate has to be invented, not specified, and we are looking for the person who wants to help invent it. You will work directly alongside our lead architect and research engineers, contributing across the full architecture stack: compute core microarchitecture, memory subsystem, interconnect, and the FPGA prototyping that proves the decisions before silicon. The team is small. The scope is wide. The architecture is being shaped now, not refined, and your contributions will be visible in the chip when it tapes out. If the appeal of working on a chip that has to be invented is greater to you than iterating on one that already exists, keep reading. Responsibilities Help define the architecture and microarchitecture of novel AI accelerator compute blocks. PE array design, datapath organization, and support for efficiency techniques such as sparsity exploitation and reduced-precision computation. The compute tile is the surface where Normal's research advantages have to show up in silicon, and you are one of the people responsible for making sure they do. Translate workload analysis and research findings into hardware specifications. Identify where architectural innovation creates the most leverage, define the structures that realize it, and produce microarchitecture documents unambiguous enough for RTL engineers to implement against. You work closely with them through implementation, not over the wall from it. Reason across the full stack and defend PPA tradeoffs at every level. Move between algorithm-level workload behavior, memory hierarchy, on-chip interconnect, and physical design constraints. Make the call when the data is incomplete, and articulate why under scrutiny from the lead architect and the research team. Partner with the compiler lead on ISA co-design. The compute tile must be compilable and programmable, not just simulatable. The programming model and the microarchitecture are defined together, and you are accountable for both sides meeting in the middle. Own the FPGA prototyping work. Scope what the FPGA implementation actually proves, drive the implementation through to bring-up, and use it to de-risk architecture decisions before tapeout. You decide which questions are worth answering in FPGA versus cycle accurate simulation. Stay current with the AI accelerator research landscape and be able to articulate clearly where Normal's approach differs from existing solutions and why that matters. This is a research adjacent seat and you are expected to read, not just consume. What We're Looking For A degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent work experience. PhD welcome but not required; the bar is the work, not the credential. Substantial experience in architecture or microarchitecture of high-performance digital systems. AI accelerators, compute engines, or similarly complex logic. You have shaped the structures inside a chip, not just consumed them from the outside. Fluency moving between algorithm-level analysis and hardware specification. You can read a profile of a workload and translate it into datapath widths, pipeline stages, and area/power estimates without losing the thread on either side. Experience with simulation driven architecture. You have used cycle accurate or analytical models to make and defend design decisions before RTL exists, and you know which questions each tool can answer and which it cannot. Familiarity with quantization and reduced precision approaches for inference and their implementation implications. You understand the cost of a bit at the hardware level, not just the model level. Experience writing microarchitecture specifications and working closely with RTL engineers through implementation. Your specs are read, not just filed. Proficiency in Python or C++ for performance modeling and analysis, and familiarity with SystemVerilog or equivalent RTL. Comfort operating in an environment where the architecture is actively being discovered alongside the work. You do not need the answer to be already known to make progress on it. Mindset and Impact This role is not for everyone. You will spend years on a chip that does not exist yet, defending decisions that cannot be fully validated until silicon comes back, on a bet most of the industry has not made. The people who thrive here, run toward the hard stuff. They are steady in ambiguity, comfortable when the data is incomplete, and they take the hardest problem on the board first because that is where the answer is hiding. They are not waiting for the architecture to be handed to them. They want to be the ones who define it. If you have spent your career suspecting you are one of those people, this is where you find out. The chip you help build will be the silicon behind a generation of image and video AI - the work people watch, the work people create with, the work that shapes what the next decade of visual computing looks like. Equal Employment Opportunity Statement Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at . Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment related purposes in accordance with our Privacy Policy. Compensation Range: $234,001 - $298,252

About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). Work closely with all Software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Essential: Experience in production-quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management or mentoring Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Electronics & Instrumentation Engineer Location: Westcott, UK Our client, a leading organisation in the space and aerospace sector, is seeking an experienced Electronics & Instrumentation Engineer to support the design, development, testing, and integration of advanced electronic systems for space applications. Key Responsibilities Design, review, and implement electronic and instrumentation systems in line with ECSS standards. Develop and assess FPGA and microcontroller-based embedded systems . Support system integration, testing, validation, and commissioning of spacecraft electronics. Review electronic schematics, wiring diagrams, instrumentation architectures, and technical documentation. Work closely with multidisciplinary teams and external suppliers to deliver high-performance electronic solutions. Troubleshoot electronic systems and contribute to continuous product improvement. Requirements Degree in Electronic Engineering or a related discipline. Experience within the space, aerospace, or defence industry. Strong knowledge of ECSS standards (ECSS-E-ST-50, ECSS-E-ST-55, ECSS-Q-ST-30). Experience with embedded electronics, FPGA, microcontrollers, and electronic system integration. Understanding of space qualification, environmental testing (thermal, vibration, radiation), and spacecraft electronics. Knowledge of communication protocols such as CAN, UART, MIL-STD-1553, or SpaceWire is advantageous. Benefits Competitive salary Private Health & Dental Care 5% Matched Pension Life Assurance Enhanced Sick Pay Cycle to Work Scheme EV Scheme Employee Assistance Programme Free On-site Parking