Your work will focus on developer-facing libraries, runtime components or both, designing clear abstractions for low-level hardware capabilities, improving reliability and performance.

You'll take ownership of library changes, deliver dependable library releases, write API documentation, usage examples and migration guidance.

The AI Compute Libraries team develops high-performance compute libraries and software infrastructure for Graphcore's AI hardware.

You'll work with specialists in accelerator software, runtime systems and performance engineering to turn hardware capabilities and developer requirements into practical APIs.

Essential skills:

• Strong modern C++ skills
• Ability to turn complex concepts into clear APIs and abstractions
• Strong debugging and automated testing skills
• Confidence owning substantial engineering tasks independently
• Clear written and spoken communication

Desirable experience:

• Experience with hardware accelerators, heterogeneous computing or architecture-specific software
• Experience with embedded DSLs, graph representations or compiler infrastructure
• Familiarity with CMake, C++ library packaging or dependency management
• Experience integrating C++ libraries with Python or ML frameworks

Benefits:

• Flexible working
• Generous leave
• Retirement planning support
• Phantom equity
• Workplace experience
• Peace of mind protection
• Electric Vehicle Scheme
• Flexible benefits

Job Data by YubHub.

You will lead the teams delivering firmware, drivers, OpenBMC and system software QA. Your work will shape platform bring-up, production release and long-term support across Graphcore systems. You will align technical decisions with business priorities, delivery milestones and product readiness.

You will build a strong engineering organisation, developing managers, technical leaders and engineers. You will own execution, quality and cross-functional delivery across hardware, silicon, software and product teams.

This is a role for a leader who can think big, act fast and take responsibility for complex system outcomes.

The team and culture

System Software works close to the hardware, where small decisions can shape product reliability at scale. The team operates through clear ownership, evidence-based planning and direct technical debate.

You will lead managers and specialists across firmware, drivers, OpenBMC and QA. Decisions are made through engineering judgement, clear trade-offs and a strong focus on delivery impact.

What we're looking for

• A strong track record leading system software teams across closely coupled hardware and software programmes.
• Experience managing managers or multiple technical teams, with clear ownership of delivery outcomes.
• Proven ability to build, coach and develop engineering leaders through change and technical uncertainty.
• Strong judgement across planning, resourcing, dependencies, risk and production release readiness.
• Experience embedding validation, automated testing, hardware-in-the-loop testing and clear release criteria.
• Credible technical breadth across firmware, drivers, OpenBMC, QA or related low-level software domains.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover

Job Data by YubHub.

You will combine hands-on software development with Principal-level technical leadership, creating common frameworks that help engineering teams run reliable, repeatable tests across development, system validation, and production environments.

Working within Test Software and Automation, you will translate hardware requirements into maintainable test solutions, improve the speed and quality of validation, and provide clear technical direction across hardware, firmware, systems, product, and manufacturing teams.

Responsibilities

• Own the architecture and technical roadmap for shared test automation frameworks used in hardware bring-up, qualification, regression testing, and production validation.
• Design and implement framework components, interfaces, configuration models, and reusable libraries that support multiple hardware platforms and test environments.
• Translate hardware specifications, validation plans, and quality requirements into scalable automated test suites with clear coverage and traceability.
• Establish engineering standards for framework reliability, maintainability, versioning, documentation, observability, and test-result integrity.
• Integrate automated testing with continuous integration and delivery pipelines, source control, lab infrastructure, and test orchestration systems.
• Develop tools and data pipelines that collect, process, analyze, and visualize test results so teams can identify failures, trends, and quality risks.
• Lead complex debugging across test software, operating systems, firmware, hardware, and lab environments, and drive issues to clear technical resolution.
• Improve test execution time, reproducibility, resource use, and validation methods across development and production workflows.
• Partner with hardware, firmware, systems, product, quality, and manufacturing teams to align test coverage with product and business requirements.
• Provide technical guidance, conduct design and code reviews, mentor engineers, and communicate status, risks, tradeoffs, and recommendations to engineering leaders.

Requirements

• A bachelor's or master's degree in computer science, electrical engineering, computer engineering, or a related field, or equivalent practical experience.
• Substantial professional experience building software for test automation, validation infrastructure, developer tooling, or related systems, including technical leadership at Principal, Staff, or Lead Engineer scope.
• Strong software development skills in Python and proficiency with Bash or comparable scripting languages.
• Demonstrated success designing modular, scalable, and maintainable frameworks, including stable interfaces, reusable components, configuration management, and automated verification.
• Experience with Linux or Unix environments, Git-based development, continuous integration and delivery pipelines, and software engineering practices for production-quality tools.
• Experience working at the boundary between software and hardware, including hardware test, system validation, or embedded platform environments.
• Strong debugging and systems-thinking skills, with the ability to isolate problems across software, firmware, hardware, networks, and lab infrastructure.
• Ability to turn technical specifications and quality goals into measurable coverage, repeatable tests, and actionable results.
• Proven ability to influence cross-functional technical decisions, mentor engineers, and communicate clearly with both technical teams and engineering leadership.

Preferred Qualifications

• Experience with test orchestration, lab management, hardware farms, scheduling systems, or distributed automation infrastructure.
• Background in AI hardware, server platforms, embedded systems, baseboard management controllers, or related low-level environments.
• Experience integrating automated tests with manufacturing, deployment, or product-release workflows.
• Experience developing test-data pipelines, dashboards, or visualization tools for engineering analysis and quality reporting.
• Familiarity with containerized environments, remote execution, or infrastructure-as-code practices used to manage test systems.

Benefits

• Medical, dental, and vision coverage, with options that may extend to eligible dependents.
• Mental health, wellness, and employee assistance resources.
• Retirement savings benefits and company contributions where applicable.
• Paid vacation, sick time, company holidays, and parental or family leave in accordance with applicable plans and policies.
• Life insurance and short-term or long-term disability coverage.
• Flexible working hours and hybrid working arrangements where compatible with the role and team requirements.
• Professional development resources, learning programs, office amenities, and team-led activities.

Job Data by YubHub.

You will work as our Occupational Health & Safety Advisor at Graphcore's Gdańsk office, supporting local safety arrangements and providing administration for the global team.

Your role involves helping colleagues recognise risks, raise concerns, and take practical steps to prevent harm. You will bring Graphcore's global health and safety management system into daily practice in Gdańsk.

Key Responsibilities

• Support risk assessments, inspections, and incident investigations within your qualifications and competence.
• Coordinate training, administer Cardinus, and maintain accurate records.
• Arrange workstation follow-up across locations.
• Work with the Global H&S Manager, Workplace and People teams, and managers to turn findings into agreed actions.
• Support first-aid arrangements, evacuation exercises, and emergency communications with building management.
• Track compliance gaps and follow up on agreed actions, escalating issues promptly.

Requirements

• Completed higher education in a BHP field or specialisation, or postgraduate BHP studies.
• Meet the requirements for the intended statutory appointment, including a one-person BHP service where applicable.
• Current BHP service training, including refresher training.
• Understanding of Polish health and safety legislation and its application within your role.
• Experience with workplace risk assessments and inspections.
• Organisation, attention to detail, and Microsoft Office skills.
• Ability to solve practical problems, build relationships, and know when to seek guidance.
• Fluent in Polish and able to communicate clearly in written and spoken Polish and English.

Benefits

• Flexible working
• Comprehensive healthcare and dental cover
• Phantom equity
• Fitness and wellbeing support
• Financial protection
• Retirement savings
• Employee Assistance Programme (EAP)

Job Data by YubHub.

You will make sure facilities, equipment and infrastructure support critical work across engineering and operations.

Your impact will be felt across hardware bring up, validation, characterisation, manufacturing technology and product test.

You will turn complex lab requirements into controlled, dependable environments where teams can move faster.

You will manage test equipment, lab infrastructure, ESD controls, goods in and out, maintenance planning and technical readiness.

You will also build and guide a technician team that supports multidisciplinary lab users.

This is a hands-on leadership role with real ownership.

You will shape how our labs run, scale and support Graphcore's next stage.

The team and culture: You will sit in our DC Engineering Team, working closely with Facilities, Supply Chain, Quality, Product Test and Diagnosis, Infrastructure Solutions and Hardware Engineering.

Work happens through clear priorities, practical decisions and direct collaboration with the teams using the labs.

You will have the ownership to set standards, improve processes and solve problems before they slow delivery.

Decisions are made close to the work, with safety, technical readiness and pace all held together.

Graphcore teams think big, act fast and speak up.

In this role, you will bring structure to complex lab activity while helping engineers do their best work.

What we're looking for:

• Strong technical understanding of electronic test equipment, lab infrastructure, setup, calibration and troubleshooting
• Practical knowledge of ESD prevention, control systems, audits and training
• Deep understanding of health and safety requirements in electronics laboratory environments
• Ability to work with engineering teams to plan, configure and support technical lab setups
• Experience coordinating subcontractors for maintenance, calibration, upgrades or specialist technical services
• Leadership skills to build, manage and mentor a team of technicians

Benefits:

• Generous annual leave
• Up to 5% matched pension
• Phantom equity – share in Graphcore's success
• Office spaces designed for collaboration
• Free food and an on-site barista
• Health cash plan
• Income protection
• Life assurance

Job Data by YubHub.

The availability of specialised artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do really makes a difference.

We are looking for an experienced engineering leader to drive the design and development of complex, high-performance SoCs for next-generation AI acceleration platforms. The role combines strong technical expertise with people leadership and engineering execution, requiring the ability to guide technical decisions, build high-performing teams and deliver high-quality silicon solutions.

The Team

The SoC Design team is responsible for the RTL design, development and integration of critical subsystems within Graphcore’s AI acceleration platforms. The team works closely with architecture, verification, DFT and physical design teams throughout the silicon development lifecycle, from microarchitecture through implementation and sign-off.

Responsibilities and Duties

• Provide technical leadership for microarchitecture, RTL design and SoC integration, driving design decisions and trade-offs across functionality, performance, power and area.
• Lead engineering execution and delivery of complex SoC designs, ensuring alignment with project milestones, quality objectives and tapeout schedules.
• Drive design quality and implementation readiness, including CDC/RDC, synthesis, timing closure and physical implementation considerations.
• Collaborate with architecture, verification, DFT and physical design teams to resolve complex technical challenges and ensure successful silicon delivery.
• Identify and manage technical risks, resource requirements and cross-functional dependencies to ensure effective project execution.
• Build, lead and develop a high-performing engineering team through coaching, mentoring, performance management and talent development.
• Drive continuous improvement in design methodologies, engineering processes and team productivity.
• Represent the design team in technical reviews, project planning and cross-functional discussions, ensuring alignment with broader engineering objectives.

Candidate Profile

Essential:

• Degree in Electronic Engineering, Computer Science or a related discipline with 18+ Years of experience
• Extensive experience in ASIC/SoC design and development, including technical leadership and engineering management.
• Proven experience leading engineering teams through multiple complex SoC tapeouts, with end-to-end ownership of design execution and delivery.
• Strong expertise in digital design, microarchitecture, RTL development and complex SoC integration.
• In-depth knowledge of Verilog/SystemVerilog, SoC interconnect protocols and clock/reset architectures.
• Good understanding of synthesis, static timing analysis, CDC/RDC, low-power design and physical implementation considerations.
• Demonstrated ability to manage technical risks, schedules, resources and cross-functional dependencies across complex silicon development programs.
• Proven experience in building, managing and developing high-performing engineering teams.
• Strong technical judgement, problem-solving and decision-making skills.
• Excellent communication, stakeholder management and collaboration skills, with experience working across globally distributed teams.

Desirable:

• Experience in high-performance, multicore or AI accelerator SoC development.
• Experience with advanced process technologies and physically aware RTL design.
• Knowledge of DFT methodologies, low-power design and multi-voltage domain integration.
• Experience with multi-die or chiplet-based SoC architectures.
• Knowledge of high-speed interfaces such as PCIe, DDR and Ethernet.
• Experience in silicon bring-up, post-silicon debugging and ECO implementation.
• Experience driving engineering methodology improvements and design automation

Job Data by YubHub.

As a UX Design Intern, you'll create sketches, wireframes, and interface designs for software that helps users understand, optimise, and debug workloads running on Graphcore hardware. You'll support usability research, help turn findings into insights that inform design decisions, and create and refine components for Decagon, our design library.

Your team and support: You'll join sprint activities, design reviews, and research, seeing how designers and engineers develop ideas together. Your manager, Lucy, will work with you to build your skills, make time for learning, and shape your career. You'll also have a buddy to help you settle in, alongside a team of experienced designers keen to share what they know and help you develop.

How you'll learn and grow: Over the 12 weeks, you'll explore how user-centred design principles apply to a technical product. Research and usability work will help you understand users' needs, while sketches, wireframes, and interface designs will give you ways to test and communicate your thinking. You'll develop your judgement about what makes a design useful and gain a clearer sense of the UX work you'd like to pursue.

What we're looking for:

• Currently studying towards a degree in UX, Interaction Design, Graphic Design, Computer Science, or a related subject
• Basic experience using design tools such as Figma or Adobe XD
• A strong interest in UX/UI design and user-centred design principles, with a portfolio featuring coursework or personal projects
• Clear communication, curiosity, and willingness to learn from feedback

Benefits:

• Flexible working: find a balance between your internship and life outside work
• 5 days of annual leave: take time to rest and recharge during your 12-week internship
• Life in the office: get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream, and an on-site barista
• Learning and development: build your skills and explore your interests with access to O'Reilly, our online learning platform

Job Data by YubHub.

Build the test systems that prove advanced AI hardware is ready before it reaches production. As a Test Development Engineer, you will create and maintain test systems for Graphcore's electronic hardware platforms. Your work will support preproduction test solutions across system and board-level products.

You will define test methods, specify equipment and automate systems for complex hardware. This includes high-speed serial links, high-current power supplies, slower protocols and low-level PCBA debug.

This role sits close to real engineering problems. You will build deep product knowledge, improve test coverage and help transfer robust solutions into production.

The Team and Culture

You will join the Hardware Test team, embedded within Graphcore's wider Hardware Engineering group. The team works closely with SI, mechanical, layout, package, silicon, firmware and production teams. Work moves through practical test design, lab debug, automation and clear data.

You will be trusted to take ownership and develop solutions that meet real hardware needs. The team values proactive communication across Graphcore and third-party support teams. Decisions are shaped by evidence, standards knowledge and the quality of the test data.

What We're Looking For

• Experience developing and automating test systems for complex electronic systems
• Knowledge of Ethernet and/or PCIe testing, including high-speed hardware debug
• Fluency in test scripting languages, including Python and LabView
• Ability to plan test work, improve coverage and communicate progress clearly
• Hands-on experience with lab equipment such as oscilloscopes, BERTs and VNAs
• Strong ownership, teamwork and communication skills across technical teams

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

You will turn software infrastructure priorities into clear, actionable work, connecting product intent, engineering delivery and cross-team coordination.

Your work will help a 30-person Software Infrastructure team build, test and support the platforms used across Graphcore software.

You will bring clarity to complex dependencies, delivery choices and roadmap decisions, owning and refining backlogs, shaping PI plans, supporting sprint delivery and coordinating across technical teams.

This role suits someone who brings calm, structure and technical curiosity to complex work, helping teams move faster without losing quality, context or purpose.

The team and culture: You will work with the Software Infrastructure team, which provides platforms and services for the wider Software organisation.

Their work supports how Graphcore teams build, test and develop software.

Work is planned in increments, shaped through backlog refinement, sprint planning, reviews and demos.

Decisions are made through close engagement with engineers, technical leads and product partners.

You will give multiple sub-teams clear direction and well-defined deliverables, surfacing risks early, speaking up on trade-offs and helping teams stay aligned.

What we're looking for:

• Experience working as a Product Owner, Technology Owner or similar role in an agile engineering setting.
• Strong backlog management skills, with the judgement to connect work to product outcomes.
• Confidence working with technical teams, complex systems and cross-team dependencies.
• Ability to simplify complex information for technical and non-technical stakeholders.
• Strong facilitation skills, with the ability to guide discussions towards clear decisions.
• Technical understanding of software development, testing or infrastructure, with curiosity to learn more.

Benefits:

• Flexible working
• Generous leave
• Retirement planning support: Up to 5% matched pension
• Phantom equity
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance
• Flexible benefits: Tailor your benefits package with a choice of additional options

Job Data by YubHub.

As Technical Services Director, you will lead the teams that operate and evolve Graphcore's engineering labs, high-performance computing (HPC) platforms, and data center environments globally. You will be accountable for reliable, secure, cost-effective infrastructure that supports demanding engineering, AI, silicon-development, and validation workloads.

This role combines people leadership, infrastructure strategy, operational excellence, capacity and financial planning, procurement, and program delivery. You will partner with Engineering, Information Technology, Security, Finance, Facilities, Supply Chain, customers, and external suppliers. The position is based onsite in Austin and requires travel to company facilities, data centers, and supplier locations, including international travel.

Responsibilities

• Lead, recruit, mentor, and develop the systems administration, lab operations, and technical services teams responsible for the facility supporting global Engineering and Research and Development.
• Own the reliability, efficiency, protection, safety, supportability, and continuous improvement of engineering labs, HPC systems, and infrastructure facilities.
• Establish service levels, operating standards, escalation paths, performance measures, monitoring, observability, automation, ticketing, and configuration-management practices.
• Translate engineering and customer requirements into infrastructure roadmaps, capacity plans, procurement strategies, operating models, and executable investment programs.
• Forecast compute, accelerator, storage, network, rack-space, power, cooling, and technical-support requirements across the infrastructure portfolio.
• Lead global infrastructure programs from requirements and business-case development through procurement, deployment, operational readiness, service handoff, expansion, refresh, and decommissioning.
• Own infrastructure procurement and supplier performance, including specifications, bills of materials, quotations, commercial negotiations, purchase orders, logistics, delivery schedules, and deployment coordination.
• Develop and lead operating budgets, capital plans, expense frameworks, projections, lifecycle plans, and investment proposals for infrastructure operations and growth.
• Build strategic relationships with hardware vendors, colocation providers, integrators, maintenance partners, and other technical service suppliers.
• Ensure HPC environments are efficiently utilized, maintained, and capable of supporting large-scale engineering, AI, simulation, and hardware-validation workloads.
• Maintain appropriate security, safety, operational, and compliance controls; support reviews involving frameworks such as ISO 27001, SOC/SSAE, and PCI DSS where applicable.
• Engage internal and external customers on infrastructure capabilities, requirements, service delivery, resilience, security, and compliance.
• Provide concise executive reporting on infrastructure health, capacity, risks, budgets, supplier performance, service quality, and coordination of programs.

Requirements

• Significant leadership experience in global technical infrastructure, engineering labs, systems engineering, HPC, Information Technology operations, or data center services.
• Proven success leading and developing geographically distributed technical teams, including managers and senior individual contributors.
• Deep knowledge of HPC and data center environments, including server architecture, Linux-based systems, accelerators, high-speed interconnects, parallel storage, cluster management, workload scheduling, and monitoring.
• Experience supporting semiconductor development, silicon bring-up, hardware validation, systems engineering, or similarly complex engineering environments.
• A record of developing and executing multi-site infrastructure strategy, capacity plans, lifecycle programs, and operating models aligned with engineering and business priorities.
• Experience operating business-critical compute and lab infrastructure with clear expectations for availability, performance, security, safety, and support.
• Experience leading complex cross-functional programs involving Engineering, Facilities, Information Technology, Finance, Security, Supply Chain, and third-party vendors.
• Strong procurement and commercial experience, including requirements, supplier evaluation, contract negotiation, purchase-order processes, logistics, and delivery management.
• Experience developing global budgets, cost models, forecasts, investment proposals, and lifecycle plans for technical infrastructure.
• Working knowledge of rack integration, structured cabling, power, cooling, physical security, capacity management, operational controls, and relevant compliance frameworks.
• Strong strategic, analytical, problem-solving, and communication skills, including the ability to influence senior leaders and explain complex issues to technical and nontechnical stakeholders.
• Ability and willingness to work onsite in Austin and travel internationally as required.
• A bachelor's degree in engineering, computer science, information technology, or another relevant technical discipline, or equivalent practical experience.

Benefits

• Medical, dental, and vision coverage, together with mental health and well-being support.
• A 401(k) retirement plan with company matching, plus company-provided life and disability coverage.
• Flexible paid time off, paid company holidays, flexible working hours, and parental leave.
• Learning and career development support, including development plans, training allowances, and online learning resources.
• Office amenities and team-led social, community, and well-being activities.

Job Data by YubHub.

Turn product intent into the technical work that moves AI compute forward. As a Technical Product Owner, you will help component-based software teams deliver clear, prioritised and meaningful outcomes. You will connect product intent, engineering delivery and cross-team coordination.

Your work will support software that spans bare metal silicon through to the machine learning tools stack. You will make complex systems easier to plan, explain and deliver. You will own component backlogs, shape roadmaps, refine epics and stories, and support sprint and PI planning. You will also surface dependencies, risks and trade-offs early.

This role suits someone who brings calm, clarity and momentum to technical teams. You will help engineers focus on the work that matters most.

The team and culture

You will work with component-based software teams across Graphcore’s engineering organisation. These teams build across the full AI compute stack, from silicon-level software to ML tools. Work happens through clear planning, practical discussion and fast feedback. You will help teams visualise progress, involve the right people and make delivery risks visible early.

Decisions are shaped by product outcomes, technical evidence and team insight. You will encourage open challenge, protect focus and enable empowered decision-making.

What we’re looking for

• Experience working as a Product Owner, or in a similar agile role.
• Strong backlog management, refinement and roadmap development skills.
• Ability to communicate clearly with technical and non-technical stakeholders.
• Confidence working with technical teams, complex systems and cross-team dependencies.
• Strong facilitation skills, with the ability to guide discussions to clear outcomes.
• Strategic mindset, with empathy and the ability to bring calm, clarity and support.

Benefits

• Unlimited annual leave
• Up to 5% matched pension
• Phantom equity – share in Graphcore’s success
• True flexibility in how and where you work
• Office spaces designed for collaboration
• Free food and an on-site barista
• Health cash plan
• Income protection
• Life assurance
• Along with other benefits you can choose from (private medical insurance, dental plan etc)

Job Data by YubHub.

We are seeking a highly skilled System Tests & Diagnostics Engineer to develop, extend, and integrate specialized silicon validation and diagnostics tools for next-generation AI SoCs.

Responsibilities and Duties

You will work closely with Arm engineers to understand and extend existing diagnostics technologies while developing Graphcore-specific capabilities for future AI hardware.

Responsibilities:

• Learn and extend existing Arm diagnostics tools to support Graphcore’s AI platform.
• Develop specialized diagnostics and stress-testing software for CPU, memory, interconnect, PCIe, and other system components.
• Build reusable validation utilities that integrate into the existing validation framework.
• Develop tools that expose intermittent hardware failures including silent data corruption, timing-related issues, and hardware instability.
• Design configurable diagnostic applications supporting multiple silicon revisions, platforms, and execution environments.
• Develop automation for executing diagnostics across server and rack-scale validation environments.
• Design configuration-driven diagnostics supporting scalable parameterization and workload variation.
• Collaborate with hardware architects to understand new hardware capabilities and identify missing diagnostics.
• Work closely with firmware and validation teams to improve hardware observability.
• Debug low-level hardware, firmware, operating system, and driver interactions.
• Analyze diagnostic output and improve fault isolation methodologies.
• Develop software that enables engineers to reproduce and investigate difficult hardware failures.
• Contribute reusable libraries and utilities that improve engineering productivity across multiple validation teams.

Candidate Profile

Essential:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• Experience developing hardware diagnostics, system validation software, firmware validation tools, or low-level systems software.
• Strong software development skills in Python and C/C++.
• Strong Linux systems experience.
• Strong understanding of modern server platform architecture, including how CPU, memory, PCIe, storage, networking, firmware, operating system, and device drivers interact within a complete system.
• Experience debugging hardware/software interactions across multiple layers of the platform.
• Experience developing diagnostics, stress testing, or hardware validation software.
• Experience with server platforms, embedded systems, or SoC validation.
• Strong analytical and debugging skills.
• Experience collaborating across hardware, firmware, software, and validation teams.
• Excellent communication and problem-solving skills.

Desirable:

• Arm-based server platforms
• AI accelerators or high-performance computing systems
• Silent Data Corruption (SDC) testing
• Hardware stress testing
• Power transient analysis
• Hardware fault injection methodologies
• Firmware validation
• Silicon bring-up
• Performance characterization
• Hardware telemetry and observability
• BMC firmware or server management
• RAS (Reliability, Availability, Serviceability) technologies

What Success Looks Like

Successful candidates will:

• Extend existing diagnostics technologies to support new Graphcore hardware.
• Develop new diagnostics tools for emerging hardware capabilities.
• Build reusable software components that integrate seamlessly with the existing validation framework.
• Improve hardware observability and root-cause isolation.
• Detect and characterize intermittent hardware failures that traditional validation techniques cannot expose.
• Deliver configurable diagnostics that scale across multiple platforms and silicon revisions.
• Work effectively across hardware, firmware, validation, and diagnostics teams to continuously improve platform quality.

Why Join Graphcore?

This role provides a unique opportunity to work at the intersection of hardware architecture, diagnostics, and software engineering while helping define how next-generation AI systems are validated.

USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future.

Job Data by YubHub.

As the Director of Post Silicon Validation, you will be responsible for leading the Bristol team, enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment.

Responsibilities:

• Manage, develop and grow the Post Silicon Validation team in Bristol
• Play a significant role in the definition, planning and execution of chip bringup activities
• Drive cross-domain debug and issue resolution
• Promote collaboration and shared understanding
• Advance automation and scalable validation
• Support continuous improvement
• Engage with leadership and partners

Essential skills:

• Building and running high performing teams
• A systems thinker, comfortable working across hardware, software, and integration boundaries
• A collaborative leader who builds trust and alignment across diverse teams
• Skilled in technical problem solving and debugging complex post-silicon issues
• A clear communicator who can simplify complexity and support sound decision-making in fast-paced environments
• Committed to developing people and promoting an inclusive, high-performing team culture
• Bachelor’s degree in Electronic Engineering or equivalent; Master’s preferred
• 20+ years in silicon, system, or platform validation, including 10+ years in technical leadership
• Proven experience leading post-silicon validation and bring-up for complex SoCs (AI, GPU, or CPU)
• Strong understanding of SoC architecture, coherency protocols, power management, and interconnects
• Expertise in debug tools, DFT infrastructure, and validation automation frameworks
• Proficient in C/C++, Python, and Linux-based environments; experience with large-scale validation clusters is an advantage

Benefits:

• Competitive salary
• Flexible working
• Generous annual leave policy
• Private medical insurance and health cash plan
• Dental plan
• Pension
• Life assurance and income protection
• Generous parental leave policy
• Employee assistance programme

Job Data by YubHub.

As a Supply Quality Engineer at Graphcore, based in Hsinchu or Taipei, Taiwan, you will manage assigned suppliers from qualification through sustained quality improvement of server-grade components. Your work will help new products reach manufacturing with risks understood, processes controlled and components that consistently meet specifications.

On supplier sites, you will assess manufacturing capability, traceability and change control, then turn audit findings into actions that prevent defects. When issues arise, you will drive containment, root-cause analysis and corrective action, verifying that fixes work before you close them.

You will build technical depth across server-grade components and modules, understanding their manufacturing processes, failure modes and reliability risks. This role connects hands-on factory investigation with the bigger challenge of building a dependable supply chain for AI compute.

The Team and Culture

You will join Quality within Manufacturing Operations, working with colleagues in Bristol, Cambridge and Hsinchu. Their expertise spans customer, supply chain and product quality, giving you perspectives beyond your assigned commodities.

You will work directly with engineering, sourcing, operations and suppliers, using quality data and manufacturing evidence to agree practical actions. You will set priorities independently, speak up early about material risks and keep actions visible so suppliers stay accountable.

What We're Looking For

• An engineering degree or equivalent practical background, with hands-on supplier quality, supplier development, manufacturing quality or process engineering experience.
• Technical understanding of at least one server-grade component or module category, and the ability to learn additional commodities.
• Ability to lead supplier audits independently, evaluate manufacturing risks and drive cross-functional actions to closure.
• Practical knowledge of supplier qualification, process controls, PFMEA, control plans, SPC and structured problem-solving using 8D or 5 Why.
• Clear English reporting, effective supplier-facing communication and stakeholder management, with sound judgement about when to escalate.
• Willingness to travel within Taiwan and internationally for supplier audits, qualifications, issue resolution and new product introduction.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous annual leave: Take time to rest, recharge and enjoy life outside of work
• Enhanced healthcare coverage: Private medical insurance alongside Taiwan's National Health Insurance scheme for added peace of mind
• Phantom equity: Share in Graphcore’s success
• Family healthcare options: The opportunity to extend healthcare coverage to your family members
• Financial protection: Life and critical illness insurance to help safeguard you and your loved ones.
• Proactive wellbeing support: An annual health assessment allowance to help you stay on top of your health
• Eye care reimbursement: Support towards the cost of maintaining your vision and eye health

Job Data by YubHub.

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Ready to raise the standard for supplier quality in advanced AI manufacturing? Apply now to be part of the journey.

Job Summary We are seeking a highly motivated individual with experience in managing supply chain quality in a high-tech manufacturing organisation. The ideal candidate will be hands-on, comfortable with ambiguity and able to manage multiple projects and stakeholders simultaneously.

Working across our entire supply chain in a technically challenging, fast paced environment, you will ensure the readiness of our global supply chain to ramp successfully as we develop and manufacture the world's most advanced AI systems and services.

The Team The Graphcore Quality Team delivers outstanding customer experience and champions sustainable excellence throughout Graphcore. We are responsible for customer, supply chain and product quality, as well as organisational compliance, governance and assurance.

You will be joining a diverse team of experts in these domains based in our Bristol, Cambridge (UK) and Hsinchu (Taiwan) offices.

Responsibilities and Duties

• Facilitate APQP activities such as risk assessment, failure mode and effects analysis (FMEA), and control plan development to proactively identify and mitigate quality risks
• Create and maintain quality plans, ensuring conformance to customer specifications and internal standards
• Ensure suppliers fulfil our NPI to ensure production readiness
• Collect and analyse key production metrics such as cycle time and yield to support process and quality improvements
• Support training and education of production personnel
• Develop standard operating procedures to improve operator efficiency and process consistency
• Participate in Kaizen events to measure, document, and continuously improve manufacturing processes

Candidate Profile Essential:

• Ability to work across several organisations with engineering leaders and factory operatives
• Expertise in APQP activities, FMEAs, SPC, control plans, ISO Audit and other quality tools
• Experience in facilitating engineering and management teams through structured root cause analysis (8D, 5-why, etc)
• Gravitas to represent Graphcore and partner companies and act as Voice of the Customer within our supplier chain
• Passionate about consistently aiming for excellence, attention to detail and relentless focus on continuous improvement
• Highly developed problem-solving skills
• Acute focus on delivering results under pressure and to challenging deadlines

Desirable

• Demonstrable experience in the semiconductor industry, server manufacturing with an emphasis supplier quality improvements
• Certification and/or experience in Lean and/or 6-sigma

Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP).

Job Data by YubHub.

As a Supply Chain Specialist in Taiwan, you'll play a crucial role in ensuring Graphcore's AI manufacturing operations run smoothly by managing the supply chain effectively.

You'll be responsible for turning approved requirements into reliable day-to-day supply execution, preventing material discrepancies from disrupting production, and coordinating with various teams, including Procurement, Manufacturing, Engineering, Finance, and Logistics.

Your tasks will include managing purchase orders, tracking shipments, supporting accurate goods receipt in the ERP system, investigating and resolving discrepancies, and communicating with suppliers and internal teams.

The Team and Culture

You'll join the Supply Chain team within Operations, working closely with colleagues in Taiwan and Bristol, UK. You'll collaborate with suppliers, receiving, warehouse, and manufacturing teams to ensure seamless deliveries and receipts.

What We're Looking For

To excel in this role, you'll need:

• Practical experience in supply chain, procurement operations, materials management, or logistics
• Confidence using ERP or MRP systems to maintain accurate supply chain records
• Good Excel skills and attention to detail to spot discrepancies in quantities, dates, and documentation
• Strong organisation and follow-through, with the ability to manage competing priorities and deadlines
• Clear written and verbal communication with suppliers, logistics providers, and colleagues across different functions
• A proactive approach to identifying delivery risks, investigating issues, and seeing resolutions through

Benefits

We offer a range of benefits, including:

• Flexible working to balance your work and personal life
• Generous annual leave to rest, recharge, and enjoy life outside of work
• Enhanced healthcare coverage, including private medical insurance alongside Taiwan's National Health Insurance scheme
• Phantom equity to share in Graphcore's success
• Family healthcare options to extend coverage to your family members
• Financial protection, including life and critical illness insurance
• Proactive wellbeing support, including an annual health assessment allowance
• Eye care reimbursement to support your vision and eye health

Job Data by YubHub.

You will spot shortages, supply risks and inventory issues before they affect schedules. You will work with Procurement to secure materials and track supplier commitments. You will also use data, scenarios and planning insight to support NPI and prototype development.

This role suits someone who brings structure to ambiguity and keeps complex hardware programmes moving. You will work closely with Engineering, R&D, Operations and Procurement. The team needs someone who can turn technical schedules into clear supply chain action.

Your impact will be visible in smoother builds, stronger planning discipline and fewer avoidable disruptions. You will help create the foundations for ambitious AI hardware development.

What we're looking for

• Over five years of supply chain experience, preferably within the high-tech industry.
• Proven experience supporting Engineering, R&D, lab operations, prototype builds or NPI programmes.
• Solid understanding of supply chain planning, demand forecasting and inventory management.
• Strong analytical skills, with the ability to interpret data and make informed decisions.
• Proficiency in Excel, including VBA, data modelling, automation and ERP systems.
• Hardware product-related sourcing experience is strictly required.

Benefits

• Flexible working
• Generous leave
• Retirement planning support: up to 5% matched pension
• Phantom equity
• Workplace experience: thoughtfully designed office spaces, free food and on-site barista
• Peace of mind protection: income protection and life assurance
• Flexible benefits: tailor your benefits package with additional options

Job Data by YubHub.

Graphcore is seeking a highly skilled System Tests & Diagnostics Engineer to develop, extend, and integrate specialized silicon validation and diagnostics tools for next-generation AI SoCs.

Responsibilities and Duties

You will work closely with Arm engineers to understand and extend existing diagnostics technologies while developing Graphcore-specific capabilities for future AI hardware.

Key responsibilities include:

• Learning and extending existing Arm diagnostics tools to support Graphcore's AI platform.
• Developing specialized diagnostics and stress-testing software for CPU, memory, interconnect, PCIe, and other system components.
• Building reusable validation utilities that integrate into the existing validation framework.
• Developing tools that expose intermittent hardware failures, including silent data corruption, timing-related issues, and hardware instability.
• Designing configurable diagnostic applications supporting multiple silicon revisions, platforms, and execution environments.
• Developing automation for executing diagnostics across server and rack-scale validation environments.
• Collaborating with hardware architects to understand new hardware capabilities and identify missing diagnostics.
• Working closely with firmware and validation teams to improve hardware observability.
• Debugging low-level hardware, firmware, operating system, and driver interactions.
• Analyzing diagnostic output and improving fault isolation methodologies.
• Developing software that enables engineers to reproduce and investigate difficult hardware failures.
• Contributing reusable libraries and utilities that improve engineering productivity across multiple validation teams.

Candidate Profile

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• Strong experience developing hardware diagnostics, system validation software, firmware validation tools, or low-level systems software.
• Strong software development skills in Python and C/C++.
• Strong Linux systems experience.
• Strong understanding of modern server platform architecture.
• Experience debugging hardware/software interactions across multiple layers of the platform.
• Experience developing diagnostics, stress testing, or hardware validation software.
• Strong analytical and debugging skills.
• Experience collaborating across hardware, firmware, software, and validation teams.
• Excellent communication and problem-solving skills.

Desirable

• Experience with Arm-based server platforms.
• Knowledge of AI accelerators or high-performance computing systems.
• Familiarity with Silent Data Corruption (SDC) testing.
• Experience with hardware stress testing.
• Understanding of power transient analysis.
• Knowledge of hardware fault injection methodologies.
• Experience with firmware validation.
• Familiarity with silicon bring-up.
• Experience with performance characterization.
• Knowledge of hardware telemetry and observability.
• Experience with BMC firmware or server management.
• Familiarity with RAS (Reliability, Availability, Serviceability) technologies.

What Success Looks Like

Successful candidates will:

• Extend existing diagnostics technologies to support new Graphcore hardware.
• Develop new diagnostics tools for emerging hardware capabilities.
• Build reusable software components that integrate seamlessly with the existing validation framework.
• Improve hardware observability and root-cause isolation.
• Detect and characterize intermittent hardware failures that traditional validation techniques cannot expose.
• Deliver configurable diagnostics that scale across multiple platforms and silicon revisions.
• Work effectively across hardware, firmware, validation, and diagnostics teams to continuously improve platform quality.

Why Join Graphcore?

This role provides a unique opportunity to work at the intersection of hardware architecture, diagnostics, and software engineering while helping define how next-generation AI systems are validated.

Benefits

In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future.

Job Data by YubHub.

The role requires significant technical breadth and a deep understanding of low-level system software, particularly in server-class systems. The ideal candidate will have strong experience in low-level system testing and integration across complex software and hardware layers, as well as a deep understanding of RTOS, complex boot logic, Linux, and device drivers.

Key responsibilities include:

• Technical leadership for test features
• Ownership of multiple features
• Infrastructure ownership
• Test Strategy
• Design and development of tests for complex multi-component areas
• Bug triaging and debugging
• Code review and improvement
• Collaboration with HW and Software teams to understand use cases and create test plans
• Integration tests for other components on the board
• Acceptance tests for stakeholders
• Communication of complex technical concepts to experts and non-experts

The team and culture: The successful candidate will join a new integration and system test team within System Software QA, which verifies integrated components across BMC, firmware, and Linux device drivers. The team works closely with developers, and the ideal candidate will be able to partner with them to deliver high-quality, scalable, and reliable solutions.

Benefits: Graphcore offers a competitive benefits package, including a flexible approach to interviews and reasonable adjustments.

Job Data by YubHub.

You will shape integration and system testing across firmware, BMC and Linux device drivers, creating a high-quality gate for system software release packages.

Your responsibilities will include:

• Designing, building, automating and reporting tests across complex server-class systems
• Developing reusable tools, pipelines and packaging solutions to help teams move faster with confidence
• Owning hard technical areas, guiding best practices and staying close to the code

The ideal candidate will have:

• Strong experience in low-level system testing and integration across complex software and hardware layers
• Deep understanding of RTOS, complex boot logic, Linux and device drivers
• Test development capability using Python and C/C++
• Experience working with hardware, debuggers, CI/CD pipelines and build or integration tools
• Ability to debug cross-layer issues and drive root-cause investigations to lasting corrective actions
• Clear communication skills, with the ability to mentor engineers and document complex technical decisions

Benefits include:

• Flexible working
• Generous leave
• Retirement planning support: up to 5% matched pension
• Phantom equity
• Workplace experience: thoughtfully designed office spaces with free food and an on-site barista
• Peace of mind protection: income protection and life assurance
• Flexible benefits: tailor your benefits package with a choice of additional options

Job Data by YubHub.

You will shape integration and system testing across firmware, BMC and Linux device drivers, creating a high-quality gate for system software release packages.

Your responsibilities will include:

• Designing, building, automating and reporting tests across complex server-class systems
• Developing reusable tools, pipelines and packaging solutions to help teams move faster with confidence
• Owning hard technical areas, guiding best practices and staying close to the code

The team and culture: You will join a new integration and system test team within System Software QA, partnering with developers, consulting package stakeholders and turning use cases into robust system tests.

Requirements:

• Strong experience in low-level system testing and integration across complex software and hardware layers
• Deep understanding of RTOS, complex boot logic, Linux and device drivers
• Test development capability using Python and C/C++
• Experience working with hardware, debuggers, CI/CD pipelines and build or integration tools
• Ability to debug cross-layer issues and drive root-cause investigations to lasting corrective actions
• Clear communication skills, with the ability to mentor engineers and document complex technical decisions

Benefits:

• Flexible working
• Generous leave
• Retirement planning support: up to 5% matched pension
• Phantom equity
• Workplace experience: thoughtfully designed office spaces, free food and on-site barista
• Peace of mind protection: income protection and life assurance
• Flexible benefits: tailor your benefits package with a choice of additional options

Job Data by YubHub.

Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware. You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack.

Responsibilities

You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling. This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour.

Team and Culture

Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability.

You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards.

Requirements

• Strong Python skills, demonstrated through designing, developing and maintaining production-quality software.
• Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability.
• Experience building CI/CD pipelines and automated testing systems in Linux environments.
• Familiarity with C or C++, including the ability to read, debug and reason about low-level code.
• The ability to mentor junior engineers and influence engineering practices through constructive feedback.
• A self-directed approach to solving complex problems, identifying gaps and driving improvements.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware. You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack.

Responsibilities

You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling.

This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour.

Team and Culture

Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability.

You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards.

Requirements

• Strong Python skills, demonstrated through designing, developing and maintaining production-quality software.
• Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability.
• Experience building CI/CD pipelines and automated testing systems in Linux environments.
• Familiarity with C or C++, including the ability to read, debug and reason about low-level code.
• The ability to mentor junior engineers and influence engineering practices through constructive feedback.
• A self-directed approach to solving complex problems, identifying gaps and driving improvements.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware. You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack.

Responsibilities

You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling.

This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour.

Team and Culture

Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability.

You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards.

Requirements

• Strong Python skills, demonstrated through designing, developing and maintaining production-quality software.
• Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability.
• Experience building CI/CD pipelines and automated testing systems in Linux environments.
• Familiarity with C or C++, including the ability to read, debug and reason about low-level code.
• The ability to mentor junior engineers and influence engineering practices through constructive feedback.
• A self-directed approach to solving complex problems, identifying gaps and driving improvements.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

Your work will help customers get more from advanced AI hardware. That means shaping the libraries behind faster, more reliable AI systems at scale.

You will write C++ and Python, profile on Linux and make hard trade-offs across memory, threading and numerical behaviour. You will also guide technical direction, review designs and help engineers make better decisions.

This role suits someone who wants deep technical ownership without moving away from hands-on engineering.

The team and culture

You will join the ML Kernels & Runtime team, which builds the compute libraries that expose hardware performance to customers. The work is technical, detailed and close to the machine.

Engineers own problems from design through validation, benchmarking and production quality. Decisions are made through evidence, clear technical reasoning and open debate.

You will move quickly, speak up when something can be better and help others raise the quality of their work. Leadership here means taking responsibility for outcomes, not waiting for permission.

What we’re looking for

• Excellent C++ and Python skills, with experience building performance-sensitive software
• Strong understanding of processor architectures, Linux profiling and low-level optimisation
• Proven technical leadership, including guiding engineering direction, reviewing designs and mentoring others
• Ability to balance hands-on implementation with broader ownership and team impact
• Experience with numerical correctness, benchmarking, regression testing or validation
• Clear communication, strong judgement and the confidence to challenge ideas constructively

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
• Phantom equity: Share in Graphcore’s success
• Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
• Financial protection: Death and disability insurance, providing financial security for you and your loved ones
• Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
• Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

Job Data by YubHub.

The library provides communication primitives optimised for high bandwidth and low latency at very high scale.

You’ll lead development of the library for new AI hardware accelerators, working across design, implementation, testing and documentation.

You’ll collaborate with other teams to develop new features, troubleshoot complex technical issues and integrate new hardware with the existing AI ecosystem.

You’ll also mentor engineers and help drive technical excellence across the team.

The team and culture

We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting.

Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves.

The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter.

What we're looking for

• Extensive experience developing software in C++, with experience using Python and C
• Strong problem-solving skills and the ability to debug and resolve complex technical issues
• Strong understanding of multithreading and inter-process communication for efficient concurrent applications
• Experience with unit testing frameworks such as Boost.Test and Google Test
• Proficiency with build tools including CMake, Make and Ninja, plus strong understanding of Git or similar version control systems
• Strong communication skills and experience working effectively with multinational teams and customers

Desirable experience

• RDMA networking libraries such as libibverbs or libfabric
• Parallel algorithms and optimisation for AI/ML and HPC systems
• Continuous Integration/Continuous Delivery pipelines, including GitHub Actions or GitLab CI
• Communication libraries such as NCCL or MPI
• Machine learning frameworks such as PyTorch
• Modern C++ standards, including C++17 and C++20

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
• Phantom equity: Share in Graphcore’s success
• Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
• Financial protection: Death and disability insurance, providing financial security for you and your loved ones
• Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
• Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

Job Data by YubHub.

Own the test strategy that proves Graphcore's next generation drivers are production-ready. As a Staff System Software Engineer, you will shape how Graphcore validates complex device drivers and platform tools.

You will bring technical depth across Linux kernels, drivers and systems software. Your work will help raise the quality bar for products that support the next generation of AI compute.

You will influence design decisions, guide test infrastructure and drive reliability across the stack. You will design, build, execute and report tests across component, system and acceptance levels.

You will debug difficult issues using hardware and software tools, simulators and emulators. This is a hands-on technical leadership role with broad reach.

You will help teams move quickly while protecting production quality.

The Team and Culture

The Drivers QA team verifies low-level kernel drivers, user-space libraries and platform tools. Work spans component tests, user acceptance and full system validation.

You will work directly with driver developers, hardware, firmware, ML stack, Kubernetes and cloud management teams. Decisions are made close to the technical detail, with engineers expected to speak up and own outcomes.

The team values engineers who think big, act fast and take responsibility. You will mentor others, raise standards and turn hard system problems into lasting improvements.

What We're Looking For

• Deep experience validating Linux kernels, device drivers or similar systems software
• Strong C++ and Python test development skills
• Experience with CI/CD, build tools and modern automated testing practices
• Ability to debug complex issues across hardware, firmware, drivers and upper software layers
• Proven ownership of technical work, priorities and delivery in an agile engineering setting
• Clear communication skills, including the ability to document and explain complex technical concepts

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
• Phantom equity: Share in Graphcore's success
• Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
• Financial protection: Death and disability insurance, providing financial security for you and your loved ones
• Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
• Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

Job Data by YubHub.

As a Staff SoC Architect in Bristol, you'll translate product requirements into specifications for complex, highly integrated, high-performance silicon devices. You'll own sub-system architecture, modelling, validation and evaluation, connecting early design choices with practical implementation. You'll help determine how critical components work together, balancing product needs with implementation trade-offs. Those choices will support the specialised compute that lets AI innovators tackle more demanding problems.

You'll assess third-party hard and soft IP, work with vendors and specify how sub-systems integrate across the platform. You'll also contribute to silicon bring-up, characterisation and evaluation when your expertise is needed.

Your contribution won't stop at a specification document. You'll deepen your understanding of AI acceleration by seeing how architectural decisions play out in working silicon.

The team and culture

Reporting to the Director of Silicon Architecture, you will be working with processor, SoC and system architects. Silicon design, verification, hardware and software engineers are partners in evaluating options and checking implementation correctness. You'll represent the team in cross-functional working groups, making trade-offs clear and speaking up when designs need further scrutiny. You'll help teams move forward by resolving complex bugs and improving engineering processes. Mentoring engineers will let you share your judgement and help others develop theirs.

What we're looking for

• A degree in Electronic Engineering, Computer Science or a related subject.
• A solid understanding of computer and SoC architecture.
• Experience writing clear technical specifications.
• Knowledge of RTL development and verification processes.
• The ability to explain design choices clearly and work across engineering teams.
• Confidence working across programming languages, with the initiative to take ownership of technical problems.

While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

Working closely with cross-functional teams, you will contribute to the design and implementation of SLT hardware, software, automation, and characterisation solutions that support silicon bring-up, yield learning, manufacturing readiness, and production deployment.

The ideal candidate will possess strong technical depth in semiconductor test and validation, a passion for solving complex engineering challenges, and a strong focus on product quality and manufacturability.

Responsibilities and Duties:

• Lead development and deployment of SLT hardware and software solutions supporting silicon bring-up, characterization, yield learning, and manufacturing deployment.
• Own major SLT workstreams and drive execution from requirements definition through deployment and production readiness.
• Develop and integrate SLT test content in collaboration with Silicon Validation, Bring-up, Product Engineering, and Manufacturing teams.
• Lead development of SLT hardware including test boards, sockets, thermal solutions, instrumentation, and vendor engagements.
• Develop and maintain SLT software frameworks, automation infrastructure, diagnostics, telemetry collection, and data analysis tools.
• Drive characterization activities including voltage margining, frequency characterization, thermal characterization, and reliability screening.
• Lead debug, failure analysis, root-cause investigations, and correlation activities across Simulation, ATE, Bench, SLT, and manufacturing environments.
• Define and optimize test coverage, test time, screening effectiveness, DPPM, and manufacturing test strategies.
• Support transfer of SLT solutions into OSAT and contract manufacturing environments and provide production ramp support.
• Work closely with DFT teams to understand testability, observability, scan architectures, and manufacturing test requirements.
• Contribute to definition of future SLT architectures, methodologies, and infrastructure requirements.
• Mentor junior engineers and provide technical leadership within the team.
• Drive technical reviews, project planning, risk management, and execution tracking for assigned workstreams.
• Collaborate with external vendors and industry partners to evaluate and deploy SLT platforms and solutions.

Candidate Profile: Essential:

• Experience in System-Level Test, production test, characterization, or post-silicon validation of complex semiconductor products.
• Strong understanding of semiconductor fundamentals, power delivery, signal integrity, board design practices, and advanced packaging technologies.
• Knowledge of DFT methodologies including scan, JTAG, BIST, MBIST, boundary scan, and manufacturing test architectures.
• Experience working with OSATs, contract manufacturers, and high-volume manufacturing environments.
• Strong scripting, automation, and debug skills using Python, Tcl, Shell, Perl, or similar languages.
• Demonstrated ability to lead technical projects and coordinate cross-functional activities.
• Strong communication, collaboration, and problem-solving skills.
• Bachelor's degree in electrical engineering, Computer Engineering, or related field.

Desirable:

• Experience with System-Level Test (SLT), production test, characterization, or post-silicon validation of 2.5D/3D stacked semiconductor products.
• Familiarity with advanced packaging technologies such as chiplets, CoWoS, SoIC, HCB, or other integration methods.
• Experience with manufacturing test flows, OSAT engagement, and production ramp activities.

Benefits: In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP).

Job Data by YubHub.

The Silicon Verification Engineer is responsible for verification activities within Graphcore, helping the team meet company objectives for quality silicon delivery. The verification team ensures that the RTL created by the logical design team matches the architecture specification for Graphcore silicon.

Responsibilities:

• Verification planning, specification, and closure of functional coverage
• Providing feedback to architects
• Test generation and failure diagnosis/triage
• Contributing to shared verification infrastructure
• Ensuring good communication between sites

Essential skills:

• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, self-starter, and team player
• Ability to work across teams and programming languages
• Experience of verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux

Desirable skills:

• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL

Benefits: Graphcore offers a competitive benefits package, including a flexible approach to interviews and reasonable adjustments.

Job Data by YubHub.

The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies.

We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

The physical design team sits within the wider silicon design team which includes RTL, verification and DFT. Our work also involves strong links with architecture, packaging and product engineering.

We are responsible for working with those teams to create high-quality RTL and building the final chip layout (e.g. GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g. TSMC).

We are looking to hire high-quality silicon physical design engineers to join our team. The successful candidate will support the team with achieving our goals and creating the right engineering solutions.

We are a collaborative team and good communication is essential, as is the ability to adapt and learn.

For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes.

Our engineers are not siloed, and they are trusted and encouraged to take ownership of their designs and problem solutions.

You will be part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure.

Responsibilities and Duties

Applicants will be expected to contribute technically to the development of Graphcore's next generation of AI superchips, focusing on achieving robust, high-performance and power-efficient designs in leading-edge process technologies while meeting ambitious development schedules.

Contributions are expected to span multiple areas and involve:

• using state-of-the-art EDA tools and in-house Graphcore flows to deliver final designs that are of sign-off quality
• enhancing existing flows and in-house tools/APIs to support new features and/or methodologies
• analysis and/or debugging of complex engineering problems leading to workable solutions
• developing an understanding of emerging technical issues and applying that knowledge to optimise in-house flows and methodologies

Essential skills:

• A Degree in Electronic/Electrical Engineering, Computer Science or related subject with 3+ years of Industry experience
• Be highly motivated, a self-starter, and a team player
• Excellent problem-solving skills for debugging issues seen and finding root causes
• Ability to program/script (required to solve design issues, typically in Tcl and Python)
• Experience in 7nm or smaller technologies
• A good breadth of experience with physical design flows including:
• Floorplanning/Budgeting
• Synthesis
• Place and Route
• Clock CTS
• Logical Equivalence
• Timing Analysis
• Physical Verification (DRC/LVS/ERC)

Desirable skills:

• In depth expertise in one or more aspects of physical design flows
• Structuring of builds to maximise PPA
• Silicon transistor knowledge including std cell libraries and/or memories
• 5D and 3D design (CoWoS, UCIe etc.)
• High speed, high power and/or full reticle chip design
• Ethernet, PCIe, LPDDR, HBM interfaces
• Power integrity and optimization
• 2nm or 3nm technologies
• Chip finishing (pad rings, chip level LVS/DRC/ERC)
• Design for test
• Team management
• Project Planning

Benefits

In addition to a competitive salary, Graphcore offers a competitive benefits package. 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.

Job Data by YubHub.

Working within the logical design team, the silicon logical design engineer is responsible for a wide range of logical design tasks. The team is responsible for delivering the Microarchitecture and RTL design to implement the chip architecture specification for Graphcore Silicon, working closely with other engineers within the Silicon team.

The successful candidate will be responsible for helping the team deliver high quality micro-architecture and RTL for Graphcore chips, working within the logical design team and with the broader Silicon team to ensure we meet the company objectives for Silicon delivery.

Responsibilities and Duties:

• Integrate IP and subsystems into top-level SoC designs
• Develop and maintain build and configuration environments
• Perform synthesis, linting, CDC/RDC, and timing checks at the SoC level
• Support verification and physical design teams through clean interface hand-offs
• Debug and resolve integration-related issues across multiple hierarchies
• Contribute to the continuous improvement of integration flows and automation
• Producing high quality microarchitecture and other documentation
• Ensure good communication between sites to maintain consistent working practises

Candidate Profile: Essential skills:

• Logical design experience in relevant industry
• Experience range 8-12 years in Semiconductor Industry/Product development exposure.
• Be highly motivated, a self-starter, and a team player
• Ability to work across teams and debugging issues seen to find root causes
• Degree in Computer Science, Engineering or related subject
• Ability to script in Python and/or TCL for automation and to solve design issues
• SystemVerilog
• Knowledge of digital design flows

Desirable skills:

• Processor design
• Application specific blocks
• High-speed serial interfaces
• Complex third-party IP integration
• Arithmetic pipeline design
• Floating-point design
• Design for test
• Synthesis
• Timing Analysis
• Project Planning
• Power Integrity
• Silicon transistor

Benefits: In addition to a competitive salary, Graphcore offers a competitive benefits package. 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.

Job Data by YubHub.

Your analysis and judgement will directly influence architecture and product decisions.

You will define modelling strategies, optimise decoupling and analyse PDN impedance, voltage droop, transient response and regulator interactions.

You will turn complex results into clear engineering decisions, requirements and sign-off approaches.

You will lead significant PI issues through resolution and create alignment across silicon, package, board, power, systems and validation teams.

You will also develop reusable methods and mentor engineers, raising power-integrity capability across Graphcore.

The Signal and Power Integrity team sits at the centre of Graphcore's hardware development.

We work across disciplines to understand electrical behaviour and guide consequential architecture decisions.

Decisions are grounded in modelling, first-principles reasoning, hardware evidence and clear assessment of uncertainty.

You will challenge assumptions, communicate risk clearly and help teams make pragmatic trade-offs.

Technical influence matters more than reporting lines.

Requirements:

• Deep practical expertise in power integrity and complex power-delivery network design.
• Strong understanding of PDN impedance, transient behaviour, voltage droop, resonance, stability and decoupling across high-current digital systems.
• Ability to reason across silicon, package, PCB, voltage regulation and system boundaries.
• Strong capability in electromagnetic modelling, circuit simulation, model extraction and selecting appropriate abstraction methods.
• Engineering judgement to assess model validity, uncertainty and sensitivity, then translate analysis into architecture and product decisions.
• Ability to lead ambiguous technical work, influence across engineering disciplines, improve methodology and develop other engineers.

Benefits:

• Flexible working
• Generous leave
• Retirement planning support: up to 5% matched pension
• Phantom equity
• Workplace experience: thoughtfully designed office spaces for collaboration, with free food and an on-site barista
• Peace of mind protection: income protection and life assurance
• Electric Vehicle Scheme
• Flexible benefits: tailor your benefits package with a choice of additional options
• Optional benefits: dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

Responsibilities:

• Contribute to the design and specification of components and systems in the grid-to-chip power chain.
• Build out the test environment and perform engineering test and validation of the grid-to-chip chain.
• Design test hardware, including the overall test environment, test fixtures, loads, and other devices to simulate various loading conditions and evaluate the performance of the power chain.
• Design and prototype custom components as needed to support the Graphcore power architecture.
• Support the transition of system designs from test and validation into manufacturing and production environments.
• Ensure robustness of IT power in the presence of grid disturbances.
• Provide guidance to power equipment manufacturers, ODM, and engineering teams on required testing and validation procedures.
• Tackle and resolve sophisticated power hardware and firmware issues.

Required Skills and Experience:

• Bachelor's or Master's or PhD degree in Electrical Engineering, knowledge of Power Electronics desired.
• Demonstrated ability in power system and delivery architecture, design, and development.
• Experience testing high voltage and high power systems, proficiency in power hardware and firmware development and debugging.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork skills.
• Ability to work in a fast-paced, multifaceted environment.

Nice to Have Skills and Experience:

• Familiarity with new technologies in AI and data center infrastructure.

Benefits: Graphcore offers a competitive benefits package, including a flexible approach to interview and reasonable adjustments.

Job Data by YubHub.

Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations.

The Team

The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness.

Responsibilities and Duties

• Define and lead validation strategies for power, thermal and performance characterization of AI compute silicon and platforms
• Contribute to planning and execution of validation activities across multiple projects and milestones
• Develop comprehensive validation plans covering functional, stress, workload and corner-case scenarios
• Lead post-silicon bring-up and characterization activities for power and performance validation
• Drive validation of CPU, memory, interconnect and high-speed I/O subsystems under complex workload conditions
• Develop scalable automation frameworks, regression infrastructure and reporting tools using Python
• Design and execute benchmark workloads, parameter sweeps and performance experiments to identify optimization opportunities
• Collaborate with architecture, RTL, firmware, software and systems teams to debug and resolve complex technical issues
• Define validation metrics, pass/fail criteria and reporting methodologies to ensure repeatable and high-quality analysis
• Guide development of custom workload generators and micro-benchmarks where required
• Analyse power, thermal and performance data to identify bottlenecks and recommend improvements
• Contribute to continuous improvement of validation processes, tooling and engineering practices
• Communicate technical findings, project status, risks and recommendations clearly to stakeholders and engineering leadership
• Support knowledge sharing and contribute to continuous improvement across the validation organisation

Candidate Profile

Essential:

• Strong experience in power and performance validation, silicon characterization or system performance engineering
• Deep understanding of modern SoC architecture, including CPU, memory, interconnect and high-speed I/O technologies
• Strong Linux systems knowledge and low-level performance analysis experience
• Strong Python programming skills for automation, orchestration and data analysis
• Experience with benchmarking and profiling tools such as stress-ng, fio, perf, iperf or equivalent technologies
• Experience debugging complex hardware and software interactions
• Ability to define structured validation methodologies, workload models and test strategies
• Strong analytical skills with the ability to interpret large datasets and identify system bottlenecks
• Strong communication and cross-functional collaboration skills
• Ability to work independently on complex technical tasks while collaborating effectively across teams

Desirable:

• Experience with AI accelerator, GPU or high-performance compute architectures
• Experience with pre-silicon modelling or simulation environments
• Knowledge of power management technologies and silicon characterization methodologies
• Programming experience in C/C++ for low-level system or benchmark development
• Familiarity with hardware instrumentation and telemetry systems
• Experience working with high core-count or large-scale compute systems
• Experience contributing to shared validation infrastructure and engineering best practices

Job Data by YubHub.

Key Responsibilities:

• Create, verify, and maintain schematic symbols, PCB footprints, and associated 3D models.
• Validate component pin assignments, dimensions, land patterns, and library attributes against manufacturer documentation.
• Maintain library naming conventions, revision control, and component approval processes.
• Develop PCB layouts from approved schematics, including component placement, routing, stackup coordination, and design rule setup.
• Collaborate with engineers to address electrical, mechanical, thermal, and manufacturing requirements.
• Run design rule checks, resolve layout issues, and participate in design reviews.
• Prepare fabrication and assembly deliverables, including Gerber or ODB++ files, drill files, drawings, and pick-and-place data.
• Coordinate with PCB fabricators and assembly suppliers to resolve manufacturing questions.
• Support engineering changes and maintain accurate release documentation.
• Work with procurement and engineering to identify obsolete components and evaluate suitable alternatives.

Required Qualifications:

• Experience with setting up PCB design and electronic component library management.
• Proficiency in Cadence Allegro/OrCAD.
• Ability to interpret schematics, component datasheets, and mechanical drawings.
• Working knowledge of PCB fabrication, assembly processes, and design for manufacturability.
• Familiarity with relevant IPC standards for PCB design and component land patterns.
• Strong attention to detail, documentation skills, and ability to manage competing priorities.
• Experience with multilayer, high-density, mixed-signal, and high-speed PCB designs.
• Familiarity with signal integrity, power integrity, grounding, and EMI/EMC considerations.
• College degree, technical training, or equivalent practical experience in PCB layout.

Benefits: In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP).

Job Data by YubHub.

As Staff Mechanical Engineer at Graphcore, you will provide technical leadership for the mechanical infrastructure supporting advanced machine learning and high-capacity computing environments. You will shape design standards, review critical systems, and coordinate with various stakeholders.

Responsibilities

• Own and maintain mechanical design standards, specifications, and owner requirements for data center projects.
• Review mechanical system builds, computations, blueprints, technical requirements, equipment choices, and control sequences for technical quality and operational fit.
• Translate AI and high-performance computing rack requirements into scalable cooling, airflow, hydronic, piping, and heat-rejection solutions.
• Provide technical direction to external consultants, developers, equipment suppliers, and engineering partners.
• Evaluate design options for reliability, maintainability, energy and water performance, capacity, and future expansion.
• Coordinate mechanical interfaces with electrical systems, building controls, fire protection, IT infrastructure, and site operations.
• Lead design reviews, resolve technical issues, and document decisions, risks, and required follow-up actions.
• Support site inspections, equipment submittal reviews, factory acceptance tests, commissioning, and operational-readiness activities.
• Verify that projects meet approved requirements, applicable codes, safety expectations, and commissioning criteria before handover.
• Guide engineers, share technical knowledge, and assess emerging mechanical technologies for future data center deployments.

Requirements

• A bachelor's degree or equivalent experience in mechanical engineering or a related discipline.
• Experience crafting or reviewing mechanical systems for data centers, critically important facilities, or comparable infrastructure.
• Knowledge of HVAC systems and equipment, including chillers, pumps, air-handling equipment, ductwork, piping, hydronic systems, and sequences of operation.
• Experience reviewing design calculations, drawings, specifications, equipment submittals, and control strategies.
• Experience coordinating mechanical requirements with IT, infrastructure, facilities, and multidisciplinary engineering teams.
• Experience supporting commissioning, inspections, acceptance testing, issue resolution, and operational handover.
• The ability to provide clear technical direction and communicate decisions through concise documentation and collaborative reviews.

Preferred Qualifications

• Experience with hyperscale data centers, colocation facilities, or Tier III or Tier IV environments.
• A Professional Engineer license or comparable international credential.
• Experience with high-density AI or high-performance computing infrastructure.
• Knowledge of direct liquid cooling, high-capacity chilled-water systems, building automation, or advanced heat-rejection technologies.

Benefits

• Medical, dental, and vision coverage, with options that may extend to eligible dependents.
• Mental health, wellness, and employee assistance resources.
• Retirement savings benefits and company contributions where applicable.
• Paid vacation, sick time, company holidays, and parental or family leave in accordance with applicable plans and policies.
• Life insurance and short-term or long-term disability coverage.
• Flexible working hours and hybrid working arrangements where compatible with the role and team requirements.
• Professional development resources, learning programs, office amenities, and team-led activities.

Job Data by YubHub.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies.

Role Overview

We are seeking an experienced Manufacturing Test Engineer to support high-volume server manufacturing from board-level test through system-level production test. This role will work closely with an ODM manufacturing partner to define, implement, validate, and optimize the manufacturing test strategy for L6 board-level products, including ICT, MDA, and Board Functional Test, as well as support L10 system-level manufacturing test.

The ideal candidate has strong experience in server hardware manufacturing, Linux-based test environments, diagnostic test coverage, fixture requirements, yield improvement, and root cause corrective action processes. This role requires both technical depth and hands-on manufacturing execution experience, with the ability to drive best practices across test development, factory readiness, quality planning, and ongoing production support.

Key Responsibilities

Manufacturing Test Strategy and Planning

• Work with ODM partners to define and execute the manufacturing test strategy for L6 board-level production.
• Develop and review test plans covering In-Circuit Test (ICT), Manufacturing Defect Analyzer (MDA), Board Functional Test, diagnostic coverage requirements, manufacturing line test flow, failure detection and containment strategy.
• Ensure test plans provide appropriate coverage for board-level defects, assembly issues, component-level failures, and functional performance requirements.
• Partner with hardware engineering, design validation, diagnostics, operations, quality, and ODM teams to align manufacturing test coverage with product risk areas.

L6 Board-Level Test Development and Deployment

• Define requirements for board-level test stations, fixtures, test software, diagnostic content, and production test infrastructure.
• Support the development, validation, and release of board functional tests into the ODM manufacturing environment.
• Review ICT and MDA coverage reports and drive improvements to ensure adequate manufacturing defect detection.
• Define pass/fail criteria, test limits, data collection requirements, retest rules, and failure handling processes.
• Support bring-up, debug, and qualification of manufacturing test processes during NPI and production ramp.

L10 System-Level Manufacturing Test

• Support development and deployment of L10 system-level manufacturing test processes.
• Port board functional tests into the L10 manufacturing environment where appropriate.
• Ensure L10 test coverage validates system-level integration, board functionality, firmware readiness, thermal behavior, power behavior, I/O functionality, and platform health.
• Work with ODM and internal engineering teams to ensure test execution is scalable, repeatable, and suitable for high-volume server production.

Manufacturing Line and Fixture Requirements

• Specify manufacturing line requirements for test station configuration, test sequencing, data capture, networking, tooling, and operator workflow.
• Define requirements for test fixtures, cabling, adapters, load boards, debug interfaces, power delivery, signal access, and fixture maintenance.
• Ensure fixtures and test stations meet manufacturing requirements for reliability, repeatability, safety, ease of use, throughput, and serviceability.
• Drive fixture validation, correlation, preventive maintenance planning, and readiness for production ramp.

Quality Planning, Yield, and Continuous Improvement

• Create and maintain an overall manufacturing quality plan focused on yield, defect containment, test coverage, and production readiness.
• Monitor manufacturing test yield, first-pass yield, failure pareto trends, retest rates, false failures, and escape risks.
• Lead technical investigations into manufacturing test failures, quality excursions, and yield loss.
• Drive structured root cause analysis and corrective action with ODM partners and internal stakeholders.
• Define and track corrective actions, containment plans, and long-term process improvements.
• Establish best practices for test development, test deployment, fixture readiness, failure analysis, data review, and manufacturing quality control.

Cross-Functional Collaboration

• Serve as the primary technical interface between internal teams and ODM manufacturing test teams.
• Collaborate with hardware engineering, diagnostics, firmware, software, quality, supply chain, and operations teams.
• Support NPI builds, pilot builds, production ramp, and sustaining manufacturing activities.
• Communicate test readiness, risks, yield issues, corrective actions, and manufacturing quality status to program stakeholders.
• Travel to ODM manufacturing sites as needed to support build readiness, test deployment, debug, and ramp activities.

Differentiators

• 8+ years of experience in manufacturing test engineering, hardware test engineering, or production test development.
• Experience supporting high-volume server manufacturing or similar complex compute, networking, storage, or data center hardware products.
• Strong understanding of board-level manufacturing test processes, including ICT, MDA, diagnostic test execution, and manufacturing defect detection.
• Experience working directly with ODM, CM, or JDM manufacturing partners.
• Hands-on experience with Linux-based test environments, including test execution, scripting, log collection, and failure triage.
• Familiarity with server hardware architecture, including CPUs, memory, storage, networking, BMCs, firmware, power subsystems, and high-speed interfaces.
• Experience defining test fixture requirements and supporting fixture bring-up, validation, and production readiness.
• Strong understanding of manufacturing quality metrics, including first-pass yield, retest rate, defect paretos, failure analysis, and corrective action.
• Demonstrated ability to drive root cause analysis and corrective action across engineering and manufacturing teams.
• Ability to review test logs, identify failure signatures, isolate issues, and determine whether failures are related to hardware, firmware, software, test process, or fixture design.
• Strong written and verbal communication skills with the ability to clearly communicate technical issues, risks, and action plans.

Preferred Qualifications

• Experience with L6 board-level and L10 system-level manufacturing processes.
• Experience porting board-level functional tests into system-level manufacturing environments.
• Familiarity with server diagnostics, BMC interfaces, BIOS/UEFI, firmware update flows, hardware health checks, and system stress testing.
• Experience with Python, Bash, or other scripting languages used in manufacturing test automation.
• Knowledge of manufacturing data systems, test result databases, yield dashboards, and factory analytics.
• Experience with high-volume NPI, EVT/DVT/PVT, pilot builds, and production ramp.
• Familiarity with test coverage analysis, DFT/DFM principles, and manufacturing escape prevention.
• Experience working with global manufacturing teams and offshore ODM sites.

Key Success Measures

• Complete and production-ready L6 test plan covering ICT, MDA, and Board Functional Test.
• Successful deployment of board functional test into L6 and L10 manufacturing environments.
• Clearly defined manufacturing line, station, and fixture requirements.
• Strong diagnostic coverage aligned to product risk and manufacturing defect modes.
• Stable test processes with low false-failure rates and scalable execution time.
• Improved first-pass yield and reduced manufacturing defect escapes.
• Timely root cause identification and corrective action closure for yield and quality issues.
• Adoption of manufacturing test and quality best practices across ODM production lines.

Job Data by YubHub.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.

Role Overview

We are seeking an experienced Manufacturing Test Engineer to support high-volume server manufacturing from board-level test through system-level production test. This role will work closely with an ODM manufacturing partner to define, implement, validate, and optimize the manufacturing test strategy for L6 board-level products, including ICT, MDA, and Board Functional Test, as well as support L10 system-level manufacturing test.

The ideal candidate has strong experience in server hardware manufacturing, Linux-based test environments, diagnostic test coverage, fixture requirements, yield improvement, and root cause corrective action processes. This role requires both technical depth and hands-on manufacturing execution experience, with the ability to drive best practices across test development, factory readiness, quality planning, and ongoing production support.

Key Responsibilities

Manufacturing Test Strategy and Planning

• Work with ODM partners to define and execute the manufacturing test strategy for L6 board-level production.
• Develop and review test plans covering In-Circuit Test (ICT), Manufacturing Defect Analyzer (MDA), Board Functional Test, diagnostic coverage requirements, manufacturing line test flow, failure detection and containment strategy.
• Ensure test plans provide appropriate coverage for board-level defects, assembly issues, component-level failures, and functional performance requirements.
• Partner with hardware engineering, design validation, diagnostics, operations, quality, and ODM teams to align manufacturing test coverage with product risk areas.

L6 Board-Level Test Development and Deployment

• Define requirements for board-level test stations, fixtures, test software, diagnostic content, and production test infrastructure.
• Support the development, validation, and release of board functional tests into the ODM manufacturing environment.
• Review ICT and MDA coverage reports and drive improvements to ensure adequate manufacturing defect detection.
• Define pass/fail criteria, test limits, data collection requirements, retest rules, and failure handling processes.
• Support bring-up, debug, and qualification of manufacturing test processes during NPI and production ramp.

L10 System-Level Manufacturing Test

• Support development and deployment of L10 system-level manufacturing test processes.
• Port board functional tests into the L10 manufacturing environment where appropriate.
• Ensure L10 test coverage validates system-level integration, board functionality, firmware readiness, thermal behavior, power behavior, I/O functionality, and platform health.
• Work with ODM and internal engineering teams to ensure test execution is scalable, repeatable, and suitable for high-volume server production.

Manufacturing Line and Fixture Requirements

• Specify manufacturing line requirements for test station configuration, test sequencing, data capture, networking, tooling, and operator workflow.
• Define requirements for test fixtures, cabling, adapters, load boards, debug interfaces, power delivery, signal access, and fixture maintenance.
• Ensure fixtures and test stations meet manufacturing requirements for reliability, repeatability, safety, ease of use, throughput, and serviceability.
• Drive fixture validation, correlation, preventive maintenance planning, and readiness for production ramp.

Quality Planning, Yield, and Continuous Improvement

• Create and maintain an overall manufacturing quality plan focused on yield, defect containment, test coverage, and production readiness.
• Monitor manufacturing test yield, first-pass yield, failure pareto trends, retest rates, false failures, and escape risks.
• Lead technical investigations into manufacturing test failures, quality excursions, and yield loss.
• Drive structured root cause analysis and corrective action with ODM partners and internal stakeholders.
• Define and track corrective actions, containment plans, and long-term process improvements.
• Establish best practices for test development, test deployment, fixture readiness, failure analysis, data review, and manufacturing quality control.

Cross-Functional Collaboration

• Serve as the primary technical interface between internal teams and ODM manufacturing test teams.
• Collaborate with hardware engineering, diagnostics, firmware, software, quality, supply chain, and operations teams.
• Support NPI builds, pilot builds, production ramp, and sustaining manufacturing activities.
• Communicate test readiness, risks, yield issues, corrective actions, and manufacturing quality status to program stakeholders.
• Travel to ODM manufacturing sites as needed to support build readiness, test deployment, debug, and ramp activities.

Differentiators

• 8+ years of experience in manufacturing test engineering, hardware test engineering, or production test development.
• Experience supporting high-volume server manufacturing or similar complex compute, networking, storage, or data center hardware products.
• Strong understanding of board-level manufacturing test processes, including ICT, MDA, diagnostic test execution, and manufacturing defect detection.
• Experience working directly with ODM, CM, or JDM manufacturing partners.
• Hands-on experience with Linux-based test environments, including test execution, scripting, log collection, and failure triage.
• Familiarity with server hardware architecture, including CPUs, memory, storage, networking, BMCs, firmware, power subsystems, and high-speed interfaces.
• Experience defining test fixture requirements and supporting fixture bring-up, validation, and production readiness.
• Strong understanding of manufacturing quality metrics, including first-pass yield, retest rate, defect paretos, failure analysis, and corrective action.
• Demonstrated ability to drive root cause analysis and corrective action across engineering and manufacturing teams.
• Ability to review test logs, identify failure signatures, isolate issues, and determine whether failures are related to hardware, firmware, software, test process, or fixture design.
• Strong written and verbal communication skills with the ability to clearly communicate technical issues, risks, and action plans.

Preferred Qualifications

• Experience with L6 board-level and L10 system-level manufacturing processes.
• Experience porting board-level functional tests into system-level manufacturing environments.
• Familiarity with server diagnostics, BMC interfaces, BIOS/UEFI, firmware update flows, hardware health checks, and system stress testing.
• Experience with Python, Bash, or other scripting languages used in manufacturing test automation.
• Knowledge of manufacturing data systems, test result databases, yield dashboards, and factory analytics.
• Experience with high-volume NPI, EVT/DVT/PVT, pilot builds, and production ramp.
• Familiarity with test coverage analysis, DFT/DFM principles, and manufacturing escape prevention.
• Experience working with global manufacturing teams and offshore ODM sites.

Key Success Measures

• Complete and production-ready L6 test plan covering ICT, MDA, and Board Functional Test.
• Successful deployment of board functional test into L6 and L10 manufacturing environments.
• Clearly defined manufacturing line, station, and fixture requirements.
• Strong diagnostic coverage aligned to product risk and manufacturing defect modes.
• Stable test processes with low false-failure rates and scalable execution time.
• Improved first-pass yield and reduced manufacturing defect escapes.
• Timely root cause identification and corrective action closure for yield and quality issues.
• Adoption of manufacturing test and quality best practices across ODM production lines.

Job Data by YubHub.

You will take a leading role in supporting NPI development and volume production across complex hardware products, connecting design, test, quality and supply chain decisions with real manufacturing outcomes.

Your work will help ensure products are manufacturable, resilient and ready for supplier capability, providing DfM feedback that improves PCB and system design before issues reach production.

You will work closely with contract manufacturers, especially during NPI and early volume manufacture, driving yield improvement, analysing production data and resolving L6 manufacturing issues.

This role suits someone who enjoys practical engineering ownership across design and production, and you will travel to Taiwan and work close to suppliers shaping next generation manufacturing technologies.

The team and culture: You will join the Manufacturing and Technology Process team within Operations, working across Bristol, Cambridge and Taiwan.

The team values evidence, responsibility and strong cross-regional relationships, making decisions through engineering judgement, data and direct accountability for manufacturing performance.

What we're looking for:

• Strong fault diagnosis, problem solving and failure analysis skills, including ICT to SMT debug
• Thorough understanding of Automated surface mount assembly processes and manufacturing methodologies
• Working knowledge of L10 mechanical design and system build, ideally for HPC products
• Ability to connect silicon, package and PCB interactions into clear DfM feedback
• Experienced in statistical analysis tools (e.g JMP, SQL, Python)
• Experience using continuous improvement methods, including SPC and DOE
• Strong interpersonal skills for supplier-facing, cross-functional and cross-regional engineering work
• Extensive experience in a similar manufacturing facing role

Benefits:

• Flexible working
• Generous leave
• Retirement planning support: Up to 5% matched pension
• Phantom equity
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista
• Peace of mind protection: Income protection and life assurance
• Flexible benefits: Tailor your benefits package with a choice of additional options

Job Data by YubHub.

Key Responsibilities

Validation Strategy & Planning

• Define comprehensive board-level and inter-board validation plans based on product requirements, design specifications, and customer use cases.
• Develop validation methodologies covering functional, electrical, thermal, power, signal integrity, reliability, and stress testing.
• Establish test coverage, acceptance criteria, qualification requirements, and release gates.
• Review hardware architecture, schematics, component specifications, and interface topologies to identify validation risks early in the design cycle.
• Define incremental validation and regression coverage for component substitutions, design changes, and firmware updates.

Hands-On Validation Execution

• Develop, automate, and execute validation tests on prototype and production-intent hardware.
• Perform board bring-up, functional verification, electrical characterization, and system-level integration testing.
• Validate communication interfaces, control signals, and timing requirements.
• Verify power sequencing, reset behavior, leakage current, and recovery across operating states.
• Execute temperature and voltage corner testing against approved operating limits.
• Use oscilloscopes, logic analyzers, spectrum analyzers, power analyzers, TDRs, VNAs, environmental chambers, and other laboratory equipment as applicable.
• Collect and analyze waveforms, measurements, and logs to demonstrate compliance with acceptance criteria.
• Develop custom test fixtures, scripts, and tools to improve test efficiency, coverage, and repeatability.

Firmware Validation & Automation

• Validate firmware builds on applicable hardware before qualification or release.
• Verify boot, initialization, interface functionality, power-state transitions, fault recovery, and features affected by each release.
• Maintain regression coverage for previously resolved hardware and firmware defects.
• Automate firmware deployment, functional checks, power cycling, measurement collection, and reporting.
• Develop reusable test suites to accelerate validation following hardware revisions and firmware changes.

ODM & Manufacturing Collaboration

• Work directly with ODM partners to align validation plans, test procedures, and qualification activities.
• Review ODM validation reports and ensure consistency with internal quality standards.
• Drive issue resolution across ODM, design engineering, manufacturing, and quality teams.

Debug & Root Cause Analysis

• Investigate hardware failures and validation escapes through systematic root-cause analysis.
• Review designs and customer use cases to identify potential failure conditions.
• Develop controlled failure-injection tests to evaluate fault detection, error handling, and recovery.
• Track validation defects from discovery through corrective action and verified closure.
• Validate fixes and assesses their impact on related functions.
• Maintain failure-analysis and troubleshooting documentation, including symptoms, diagnostic steps, root causes, corrective actions, and lessons learned.
• Incorporate resolved issues into regression testing where practical.

Documentation & Reporting

• Author test plans, validation procedures, test reports, and qualification summaries.
• Ensure traceability between requirements, test coverage, results, and defects.
• Maintain accurate records of hardware revisions, firmware versions, test configurations, and supporting evidence.
• Track validation progress, coverage gaps, risks, defects, corrective actions, and release readiness through dashboards and status reports.
• Present validation results, recommendations, and readiness assessments to engineering leadership and stakeholders.

Required Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field.
• 7+ years (or appropriate level) of board-level hardware validation experience.
• Strong understanding of digital and mixed-signal electronic systems.
• Experience validating high-speed interfaces such as PCIe, USB, Ethernet, DDR, MIPI, SPI, I2C, UART, or similar technologies.
• Hands-on experience with laboratory instrumentation and measurement techniques.
• Experience working with ODMs, contract manufacturers, or external engineering partners.
• Strong hardware debugging and root-cause analysis skills.
• Experience developing test automation using Python, LabVIEW, MATLAB, or similar tools.
• Excellent technical documentation and communication skills.
• International and domestic travel as needed.

Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP).

Job Data by YubHub.

Build the test systems that help deliver AI hardware at production scale.

As a Staff Hardware System Test Engineer, you'll develop manufacturing test solutions for complex compute systems. Your work will help ensure products reach customers with the quality and reliability expected from Graphcore.

You'll shape how hardware is tested across Host Processor Modules, server blades, and multi-node racks. The tools, test content, and diagnostics you create will directly influence manufacturing efficiency and product quality.

You'll develop test software, design test approaches, and solve challenging hardware issues. You'll work closely with hardware, firmware, software, and manufacturing teams to improve test coverage and diagnose problems quickly.

This role offers broad technical scope across silicon, boards, systems, software, and manufacturing. You'll have the opportunity to influence engineering decisions and raise technical standards across the organisation.

The Team and Culture

The Product Test and Diagnosis team owns the strategy for finding and diagnosing hardware defects throughout the product lifecycle. The team works across silicon, boards, servers, and rack-scale systems.

Day to day, engineers work closely with design, firmware, software, quality, and manufacturing teams. Problems are solved through data, technical debate, and hands-on investigation.

You'll join a global engineering group spanning the UK, Taiwan, India, and the United States. People are trusted to take ownership, make decisions, and drive improvements that deliver measurable results.

Requirements

Essential

• Significant experience developing and deploying manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large-scale compute hardware.
• Strong technical leadership as an individual contributor, with experience owning substantial technical workstreams and collaborating across multiple teams without direct line management responsibility.
• Strong technical understanding across silicon, board, and system design sufficient to define effective manufacturing test coverage and lead complex debug/root-cause analysis.
• Strong cross-functional collaboration skills, with experience working with internal software/firmware/platform teams to enable testability and diagnosability.
• Hands-on experience using Linux, OpenBMC, and vendor-specific test tools, diagnostics, and system-level utilities to test hardware in lab and manufacturing environments.
• Strong software engineering skills with scripting and automation (e.g., Python, Bash, or similar), including building reliable test infrastructure and integrating heterogeneous test content.

Desirable

• Familiarity with rack-scale/multi-node systems, high-speed interconnects, and production qualification of complex assemblies.
• Experience improving manufacturing KPIs (yield, test time, false fail reduction) through data-driven test optimisation and robust statistical/diagnostic approaches.
• Knowledge of open-source tools commonly used for manufacturing test, system bring-up, and hardware diagnostics.
• Experience designing testability/diagnosability features into products (e.g., telemetry, self-test hooks, debug interfaces) in partnership with design teams.

Benefits

• Unlimited annual leave
• Up to 5% matched pension
• Phantom equity – share in Graphcore’s success
• True flexibility in how and where you work
• Office spaces designed for collaboration
• Free food and an on-site barista
• Health cash plan
• Income protection
• Life assurance
• Along with other benefits you can choose from (private medical insurance, dental plan etc)

Job Data by YubHub.

You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact.

You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics.

What we're looking for

• Strong knowledge of server hardware architectures and board-level debugging
• Experience isolating failures using system logs, telemetry, power data and thermal metrics
• Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure
• Ability to lead structured root cause analysis and propose practical corrective actions
• Confidence working across engineering, platform and data centre teams
• Clear written and verbal communication, with the judgement to guide junior engineers

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore’s success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover

Job Data by YubHub.

We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments.

Responsibilities and Duties

• Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure.
• Support engineering bring-up activities, including component validation and firmware interaction testing.
• Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues.
• Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements.
• Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles.
• Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability.
• Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation.
• Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics.
• Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases.

Candidate Profile

Essential

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline.
• 10+ years experience with server hardware architectures and board-level debugging.
• Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures.
• Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure.
• Strong collaboration skills and ability to work effectively in fast-paced engineering environments.
• Excellent written and verbal communication skills.

Desirable

• Experience supporting prototype or pre-production hardware bring-up.
• Familiarity with data center facilities, including liquid cooling and power distribution systems.
• Experience using Python, Bash, or automation tools for hardware validation or troubleshooting.
• Exposure to structured failure analysis and reliability engineering methodologies.

Benefits

In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP).

Job Data by YubHub.

The role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams.

Responsibilities and Duties

• Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation.
• Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness.
• Own execution against program achievements and report validation progress and risks.
• Triage test failures, collect debug data, and collaborate on root cause analysis.
• Track validation coverage and continuously improve test processes and infrastructure.
• Collaborate with ODM/JDM partners on validation and quality.
• Mentor engineers and drive engineering excellence.

Candidate Profile

Essential:

• Bachelor’s or Master’s degree or equivalent experience in Computer Engineering, Electrical Engineering, Computer Science, or related field.
• Proven track record in system, rack, or embedded validation with leadership experience.
• Strong experience in large-scale hardware validation environments.
• Expertise in CPU/GPU, memory, IO, and firmware validation.
• Experience with Linux/server OS and automation using Python/Bash.
• Knowledge of IPMI, Redfish, PLDM.
• Experience with CI/CD pipelines and hardware interfaces.

Desirable:

• Experience in hyperscale environments.
• Familiarity with OpenBMC and processes for verifying firmware functionality.
• Knowledge of firmware security and HIL testing.
• Experience with test management tools.

Job Data by YubHub.

Reporting to an Engineering leader, the Staff Engineering Coordination Support role is responsible for coordinating engineering activities across multiple teams, ensuring effective planning, execution tracking, communication, and operational alignment.

The role acts as a central point of coordination for engineering programmes and initiatives, helping teams manage priorities, dependencies, risks, and delivery commitments while supporting efficient collaboration across the organisation.

The Team

The Engineering Coordination team supports the effective operation of engineering functions across Graphcore. The team works closely with engineering leaders, technical specialists, project stakeholders, and business partners to improve visibility, facilitate communication, coordinate planning activities, and enable successful delivery of engineering objectives.

Responsibilities and Duties

• Coordinate engineering planning activities, schedules, milestones, and deliverables across multiple teams.
• Track progress against agreed plans and provide regular status updates to stakeholders.
• Identify, monitor, and help manage project dependencies, risks, issues, and actions.
• Facilitate engineering meetings, reviews, planning sessions, and cross-functional coordination activities.
• Maintain project documentation, reporting dashboards, action logs, and operational records.
• Support engineering leaders with resource planning, prioritization activities, and workload visibility.
• Drive follow-up actions to ensure commitments are completed and blockers are escalated appropriately.
• Collaborate with technical and non-technical stakeholders to improve communication and information flow.
• Assist in the implementation and continuous improvement of engineering processes, tools, and ways of working.
• Produce clear and concise reports, presentations, and communications for engineering and business audiences.
• Coordinate activities across geographically distributed teams to support efficient execution.
• Contribute to operational excellence initiatives that improve predictability, efficiency, and delivery outcomes.

Candidate Profile

Essential

• Experience coordinating complex technical, engineering, programme, or operational activities.
• Strong organisational skills with the ability to manage multiple priorities simultaneously.
• Experience tracking actions, risks, issues, dependencies, and delivery milestones.
• Excellent written and verbal communication skills with the ability to engage a wide range of stakeholders.
• Ability to influence outcomes and drive progress without direct authority.
• Strong analytical and problem-solving skills with attention to detail.
• Experience using project management, planning, reporting, or collaboration tools.
• Ability to work effectively in a fast-paced, cross-functional environment.
• Strong stakeholder management skills and the ability to build effective working relationships.
• Proactive approach to identifying improvements and resolving coordination challenges.

Desirable

• Experience supporting engineering, software, hardware, semiconductor, or technology-focused organisations.
• Knowledge of project, programme, or portfolio management methodologies.
• Experience creating executive-level reporting and operational dashboards.
• Familiarity with Agile, Scrum, Kanban, or similar delivery frameworks.
• Experience coordinating activities across international or distributed teams.
• Understanding of engineering product development lifecycles.

Benefits

In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing, and financial future. Our benefits include medical, dental, and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services, and an Employee Assistance Programme (EAP).

Job Data by YubHub.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

Job Summary

We have an exciting opportunity to be part of a collaborative, cross-functional development team developing C code used to validate cutting-edge, high-performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Bringup team, you will be involved with bringing first silicon to life, developing code primarily in C to configure and exercise systems and sub-systems on new silicon devices, and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis.

You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.

The Team

The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team.

Responsibilities and Duties

• Plan, design, develop and debug silicon bringup sequences and test in bare metal C/C++ on FPGA/Emulator prior to first silicon
• Deploy configuration sequences and validation tests on first silicon and debug them
• Develop automated test framework and regression test suites in Python to optimize validation efficiency
• Collaborate closely with engineers from many other disciplines on a variety of topics
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
• Analyse test results, identify and debug failures/defects
• Contribute to shared test and validation infrastructure
• Provide feedback to architects

Candidate Profile

Essential:

• Strong experience in Bare metal / embedded C/C++
• Good knowledge of digital ASICs
• Be highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the post-silicon validation process applied in digital ASIC environments
• Python, Linux
• Excellent communication skills and the ability to collaborate with others to solve problems
• Excellent problem-solving, analytical & diagnostic skills

Desirable:

• Driver level experience with one or more of the following is highly desirable:
• PCIe
• Ethernet
• Memory technologies (LPDDR, DDR, HBM, …)
• Other peripherals such as I2C, I3C, SPI, …
• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable
• Experience of Arm CPUs, System IP and debug tools
• Experience of AMBA protocols
• Understanding of ML applications and their workloads
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support

Benefits

In addition to a competitive salary, Graphcore offers a competitive benefits package. 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.

Job Data by YubHub.

The role combines strong data engineering foundations with hands-on application development, using AI agents, trusted data, and business system integrations to improve decision-making and automate operational workflows.

Responsibilities and Duties:

• Build business-facing applications using Python
• Develop agentic capabilities, connecting AI agents to approved tools, APIs, datasets, and business systems
• Translate business needs into working solutions, partnering with analysts, engineers, and business stakeholders
• Deliver end-to-end applications, using AI-assisted coding tools to build and maintain front ends
• Enable business-owned front ends, providing documented APIs, reusable templates, and practical coaching
• Establish clear ownership and support arrangements for application changes, testing, releases, and ongoing support
• Build secure, reusable backend services, enforcing authentication, authorisation, and business rules
• Engineer reliable agentic workflows, implementing evaluation, monitoring, audit trails, and safeguards
• Maintain strong data foundations, designing, building, and enhancing Python-based batch and streaming pipelines
• Own key platform components, using AWS services including S3, Lambda, Aurora PostgreSQL, Athena, Glue, and Redshift
• Enable safe, repeatable delivery, building and maintaining orchestration, CI/CD workflows, automated testing, and deployment processes
• Improve resilience and performance, applying robust error handling, idempotent processing, retry and recovery mechanisms
• Apply engineering and governance standards, contributing to standards for data quality, documentation, observability, security, and access management
• Provide technical leadership, reviewing designs and code, mentoring engineers, and guiding business application builders

Candidate Profile: Essential:

• Strong experience designing, building, and operating production-grade data pipelines and platforms using Python
• Experience building and supporting Python web applications, backend services, and APIs
• Practical experience developing applications or workflows that use large language models or AI agents
• Experience using AI-assisted coding tools effectively
• Ability to either build usable web front ends with AI-assisted tools or enable business colleagues to develop and maintain front ends
• Strong hands-on experience with modern orchestration, automated testing, CI/CD, deployment, and monitoring practices
• Experience building cloud-based solutions using AWS services
• Strong understanding of data modelling, schema design, data quality, and performance optimisation
• Experience working with both batch and streaming data pipelines
• Strong understanding of security, access control, and governance for cloud-based data platforms and applications

Desirable:

• Experience with Python web application frameworks such as Streamlit, Flask, or FastAPI
• Working knowledge of JavaScript or TypeScript and a modern front-end framework
• Experience with agent orchestration, retrieval over business data, or automated evaluation of AI-enabled applications

Job Data by YubHub.

Initially reporting to the Head of Data & Transformation, you will help business teams improve how they work and make decisions through process change, data analytics, and AI-assisted and agentic workflows.

The Team

The Data & Transformation team brings together data capability and business transformation to improve how Graphcore operates and makes decisions. The team builds trusted data foundations, enables effective access to information, and delivers cross-functional change to business processes, systems, and ways of working.

Responsibilities and Duties

• Lead business discovery and identify opportunities
• Map and improve processes
• Own requirements definition
• Deliver hands-on analytics
• Enable agentic self-service data use
• Recommend practical solution approaches
• Design agentic workflows
• Prototype, evaluate, and validate solutions
• Use trusted data and appropriate controls
• Own delivery of agreed initiatives
• Support implementation and adoption
• Measure outcomes and improve reliability
• Strengthen shared capability

Candidate Profile

Essential

• Demonstrated experience combining hands-on data analysis with business process improvement
• Strong SQL skills
• Strong business analysis skills
• Hands-on experience prototyping or evaluating AI-assisted or agentic workflows
• Experience using AI-assisted development tools
• Experience using business intelligence or data visualisation tools
• Strong analytical judgement and problem-solving skills
• Strong facilitation, communication, and influencing skills
• Ability to independently plan and lead complex work
• Experience testing and validating solutions

Desirable

• Experience implementing and supporting agentic workflows in production
• Experience using Python or comparable tools
• Familiarity with APIs, curated datasets, semantic-layer concepts, and analytics engineering practices
• Experience enabling self-service analytics or applying structured process improvement and change management methods
• Experience working in a technology, engineering, or fast-moving product environment

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.

Job Data by YubHub.

As a Staff Cloud Software Engineer, you will build Go services that connect AI accelerator hardware with Kubernetes clusters, shaping how AI workloads discover, access, and scale across cluster infrastructure.

Responsibilities

You will:

• Design production services with reliability, performance, and observability at the core of the architecture.
• Develop Custom Resource Definitions (CRDs), operators, and Kubernetes components for Machine Learning (ML) and platform teams.
• Collaborate with hardware, cloud, and ML engineers on design choices and roadmap priorities.
• Mentor engineers, enhance code quality, and contribute to defining Graphcore's cloud-native AI compute offerings.

Requirements

• Strong experience in Go engineering, particularly in delivering complex production software.
• In-depth knowledge of Kubernetes architecture, including CRDs, operators, and cloud-native integration patterns.
• Solid understanding of Linux, with the ability to debug issues in distributed systems.
• Experience in leading technical initiatives and mentoring engineers through design, review, and delivery.
• Ability to improve code quality, observability, automation, and developer experience.
• Fluent C1-level English communication skills, with the confidence to work across hardware, cloud, and ML teams.

Benefits

• Flexible working arrangements.
• Comprehensive healthcare and dental insurance.
• Phantom equity options.
• Fully funded Medicover gym card.
• Death and disability insurance.
• Retirement savings plan with a 4% employer contribution.
• Employee Assistance Programme (EAP).

Team and Culture

The Workload Management team operates at the intersection of Kubernetes, cloud platforms, and accelerator hardware. The team prioritizes clear goals, rapid feedback, and sound engineering judgment. Decision-making is based on evidence, prototypes, and direct technical discussions.

Job Data by YubHub.

Build the cloud platform that turns Graphcore AI systems into usable, scalable services. Graphcore needs a Staff Cloud Engineer to develop and deploy private and public cloud services for AI compute.

You will join the Cloud Platform team within Software Platform, close to datacentre operations and product development. Your work will shape how internal users and customers access large-scale AI systems.

You will keep critical infrastructure available while helping pre-release hardware and software become reliable cloud services. You will operate and extend OpenStack-based services, automate deployment with infrastructure-as-code, and improve observability across the fleet.

You will benchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storage.

This role suits someone who wants ownership of hard infrastructure problems, not a narrow ticket queue. Expect unproven components, direct user feedback, and decisions that move quickly into production.

Responsibilities

• Operate and extend OpenStack-based services
• Automate deployment with infrastructure-as-code using tools such as Terraform/OpenTofu, Ansible or Packer
• Improve observability across the fleet
• Benchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storage

Requirements

• Relevant degree or equivalent practical experience, with proven ability to scope and deliver technical infrastructure work
• Experience operating on-premises or private-cloud environments, with strong ownership of end-user availability
• Strong Linux system administration and scripting skills, including Bash and Python
• Hands-on experience deploying services with Infrastructure-as-Code
• Practical understanding of cloud foundations, including virtualisation, virtual networks, block storage, monitoring and observability
• Experience using Git, CI or testing pipelines and container tools

Benefits

• Flexible working
• Generous leave
• Retirement planning support: Up to 5% matched pension
• Phantom equity
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista
• Peace of mind protection: Income protection and life assurance
• Flexible benefits: Tailor your benefits package with a choice of additional options

Job Data by YubHub.

Build the test solutions that help bring advanced AI hardware from design into volume production.

As a Staff Board Test Operations Engineer, you will develop and deploy PCB assembly test solutions across our manufacturing network. Your work will help ensure product quality, reliability, and manufacturing readiness.

You will play a key role in identifying defects early, improving test coverage, and resolving complex production challenges. The impact of your work will be seen in yield performance, efficiency, and product quality.

You will lead the development of flying probe and ICT test solutions, support external manufacturing partners, and drive test platform deployment from NPI through to mass production.

This role offers broad technical scope across design, manufacturing, test engineering, and operations. You will solve difficult problems and help shape how our products are tested at scale.

The Team and Culture

The Product Test and Diagnosis team focuses on finding and managing hardware defects across chips, boards, and complete systems. The work spans manufacturing sites and products in the field.

Day to day, you will work closely with design engineers, manufacturing teams, and external test partners. Problems are solved through data, root cause analysis, and hands-on engineering.

Ownership sits with the people closest to the challenge. Team members are trusted to lead technical decisions, improve processes, and raise standards across the organisation.

What We're Looking For

• Strong experience developing and maintaining PCB assembly test solutions using platforms such as Teradyne, Keysight, TRI, or SPEA
• Deep understanding of SMT and PCB manufacturing processes, failure mechanisms, and test coverage principles
• Ability to debug complex issues across design, test, and manufacturing environments
• Experience working with manufacturing partners and supporting production test operations
• Hands-on experience with electronic test equipment, including oscilloscopes, DMMs, SMUs, and power supplies
• A practical approach to solving problems, improving yield, and driving continuous improvement

Benefits

• Unlimited annual leave
• Medical & Life Insurance
• Eye Care Cover
• Annual Health Assessment
• Phantom equity – share in Graphcore’s success
• Office spaces designed for collaboration

Job Data by YubHub.

Lead performance work that turns large-scale AI workloads into faster, more efficient systems. As a Staff AI Performance Engineer, you will analyze and optimize AI training and inference workloads across distributed systems.

Your work will connect compute, memory, networking and software behavior. You will lead complex performance workstreams across hardware and software. You will find bottlenecks, validate improvements and turn performance evidence into practical engineering decisions.

You will build benchmarks, profile demanding workloads and develop C++ and Python tools for analysis and optimization. Your recommendations will help teams improve efficiency, scalability and reliability.

This role gives you broad technical scope across AI infrastructure at data center scale. It is based in Milpitas, California.

The team and culture

The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior.

Work moves through evidence, ownership and clear technical judgment. You will lead investigations, coordinate across teams and validate impact with reliable performance data. Decisions are shaped through benchmarks, models, simulations and practical engineering tradeoffs.

The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area.

What we're looking for

• Strong experience profiling and optimizing AI, machine learning or high-performance computing workloads.
• Experience with distributed systems and communication libraries such as MPI, NCCL, UCX or libfabric.
• Strong C++ and Python skills, including reliable tools or performance-sensitive software.
• Deep understanding of compute, memory and communication behavior in large-scale systems.
• Ability to lead technically complex work and coordinate improvements across teams.
• Familiarity with MLPerf, accelerated architectures, ML frameworks or high-performance interconnects.

Benefits

Graphcore offers competitive compensation and benefits designed to support employees' health, financial well-being, work-life needs, and professional growth. Benefits and programs for eligible U.S. employees may include:

• Medical, dental, and vision coverage, with options that may extend to eligible dependents.
• Mental health, wellness, and employee assistance resources.
• Retirement savings benefits and company contributions where applicable.
• Paid vacation, sick time, company holidays, and parental or family leave in accordance with applicable plans and policies.
• Life insurance and short-term or long-term disability coverage.
• Flexible working hours and hybrid working arrangements where compatible with the role and team requirements.
• Professional-development resources, learning programs, office amenities, and team-led activities.

Job Data by YubHub.

This role will be responsible for developing sourcing strategies, managing supplier relationships, leading commercial negotiations, and ensuring long-term supply continuity across key memory and storage technologies.

Working closely with Engineering, Product Management, Operations, Manufacturing, and Supply Chain teams, the successful candidate will influence technology roadmaps, supplier strategies, capacity planning, and cost optimisation initiatives while balancing quality, performance, scalability, and supply resilience requirements.

The role requires a combination of strong commercial expertise, technical understanding of infrastructure technologies, and the ability to build effective partnerships across internal and external stakeholders.

Responsibilities and Duties:

• Own sourcing strategy development and execution for memory and storage technologies supporting Graphcore's AI infrastructure platforms.
• Develop and maintain strategic relationships with memory and storage suppliers, driving performance across cost, quality, technology, capacity, and delivery metrics.
• Partner with Engineering and Product Management teams to influence technology roadmaps, supplier selection decisions, and infrastructure platform strategies.
• Lead supplier engagement activities including RFIs, RFQs, commercial evaluations, business awards, and contract negotiations.
• Negotiate pricing agreements, supply agreements, capacity commitments, and long-term commercial frameworks that support business objectives.
• Develop and maintain cost models, market intelligence, and total cost of ownership analyses to support sourcing decisions and negotiation strategies.
• Monitor technology developments and industry trends across memory, storage, AI infrastructure, and data centre ecosystems to inform sourcing strategy.
• Drive supplier performance management through regular business reviews, scorecards, corrective action plans, and continuous improvement initiatives.
• Identify and mitigate supply chain risks through supplier diversification, capacity planning, contingency strategies, and business continuity planning.
• Partner with Operations, Manufacturing, Quality, Finance, and Legal teams to ensure successful product launches, production ramps, and ongoing supply support.
• Support new product introduction activities by aligning supplier readiness, manufacturing capability, and supply availability with programme requirements.
• Provide regular reporting and recommendations to leadership regarding supplier performance, market conditions, commercial opportunities, and supply chain risks.

Candidate Profile: Essential:

• Bachelor's degree or equivalent experience in Engineering, Supply Chain, Operations, Business, or a related discipline.
• Experience in strategic sourcing, supplier management, procurement, or supply chain roles within technology, electronics, infrastructure, semiconductor, or hardware-focused environments.
• Strong understanding of memory and storage technologies, including DRAM, SSD, HDD, and related infrastructure components.
• Experience developing and executing sourcing strategies for complex technology products and supply chains.
• Demonstrated success negotiating commercial agreements, supplier contracts, and long-term strategic partnerships.
• Strong commercial and analytical skills, including cost modelling, pricing analysis, and total cost of ownership methodologies.
• Experience managing supplier performance and driving measurable improvements across cost, quality, delivery, and supply continuity.
• Ability to collaborate effectively with engineering and technical teams to evaluate technologies, suppliers, and sourcing options.
• Strong project management, stakeholder management, and cross-functional leadership skills.
• Excellent verbal and written communication skills with the ability to influence internal and external stakeholders at multiple levels.
• Ability to manage multiple priorities in a dynamic and fast-paced environment.

Desirable:

• Experience sourcing memory, storage, server, networking, compute, or AI infrastructure technologies.
• Knowledge of data centre, cloud infrastructure, high-performance computing, or AI platform architectures.
• Experience supporting new product introduction, production ramp, lifecycle management, and end-of-life transitions for infrastructure hardware.
• Familiarity with global supplier ecosystems across North America, Europe, and Asia.
• Experience developing supplier risk management, resiliency, and business continuity programmes.
• Knowledge of manufacturing processes, supply chain planning, and supplier industrialisation practices.
• Experience using data analytics or AI-enabled tools to improve sourcing processes, decision-making, or operational efficiency.
• Program or project management experience within technology supply chains.

In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future.

Job Data by YubHub.

This leadership role partners closely with Engineering, Product, and Executive Leadership to secure best-in-class capacity, cost, quality, and delivery performance for critical manufacturing partners and ensure supply continuity for global infrastructure deployment.

Responsibilities and Duties

• Be responsible for the end-to-end sourcing strategy for contract manufacturing partners supporting AI infrastructure platforms.
• Build, lead, and mentor a high-performing sourcing team.
• Develop and execute multi-year supplier and commodity strategies aligned with engineering roadmaps.
• Lead complex executive-level negotiations including long-term agreements and capacity reservations.
• Drive cross-functional alignment across Engineering, Supply Chain, Finance, and Legal.
• Influence supplier ecosystems and manufacturing partner roadmaps aligned with internal product strategies.
• Develop cost models and implement should-cost frameworks.
• Ensure supply continuity through capacity planning and risk mitigation.
• Conduct executive supplier business reviews to monitor performance and drive improvements.
• Ensure supplier agreements protect Graphcore’s long-term strategic and operational interests.

Candidate Profile

Essential

• Bachelor’s degree or equivalent experience in Engineering, Computer Science, Finance, or related technical discipline.
• Demonstrated ability in technical and commercial sourcing.
• Strong experience sourcing within contract manufacturing ecosystems.
• Proven experience negotiating multi-year strategic supplier agreements.
• Strong financial acumen including cost modeling and total cost of ownership analysis.
• Excellent executive communication and stakeholder engagement skills.

Desirable

• Deep expertise in contract manufacturing ecosystems supporting hyperscale infrastructure.
• Experience working within AI infrastructure, semiconductor, or cloud hardware environments.
• Strong relationships with electronics manufacturing service (EMS) providers.
• Experience structuring joint development agreements and strategic manufacturing partnerships.
• Experience operating in rapidly scaling infrastructure environments.

Job Data by YubHub.

Reporting into the Global Sourcing Management team, this role will partner closely with Engineering, Product, Operations, Manufacturing, and Supply Chain teams to develop sourcing strategies, manage supplier relationships, negotiate commercial agreements, and ensure resilient supply for critical infrastructure components.

The successful candidate will combine strong commercial acumen with a solid understanding of AI infrastructure technologies, enabling effective engagement with suppliers and technical stakeholders while balancing cost, quality, delivery, scalability, and risk objectives.

Responsibilities and Duties:

• Own sourcing strategy development and execution for assigned AI infrastructure commodities and suppliers.
• Lead end-to-end sourcing activities including supplier identification, qualification, RFQ/RFP management, commercial evaluation, supplier selection, and contract negotiation.
• Develop and maintain strong supplier relationships, driving performance across cost, quality, delivery, capacity, and responsiveness.
• Partner closely with Engineering and Product teams to understand technical requirements and align sourcing decisions with product and infrastructure objectives.
• Evaluate supplier capabilities, technology roadmaps, manufacturing readiness, and scalability to support business growth.
• Lead commercial negotiations for pricing, supply agreements, capacity reservations, development activities, and long-term strategic partnerships.
• Build and maintain cost models, benchmark analyses, and total cost of ownership assessments to support sourcing decisions.
• Drive supplier performance management through regular business reviews, scorecards, corrective action plans, and continuous improvement initiatives.
• Identify and mitigate supply chain risks through market intelligence, supplier diversification, contingency planning, and business continuity strategies.
• Monitor industry trends, supplier landscapes, component availability, and market dynamics to inform sourcing strategies and procurement decisions.
• Collaborate with Legal, Finance, Quality, Operations, and Manufacturing teams to ensure sourcing activities support business objectives and compliance requirements.
• Provide regular reporting and recommendations to leadership regarding supplier performance, commercial opportunities, sourcing risks, and mitigation plans.

Candidate Profile: Essential:

• Bachelor’s degree or equivalent experience in Engineering, Supply Chain, Operations, Business, or a related subject area.
• Experience in strategic sourcing, procurement, supplier management, or supply chain roles within technology, infrastructure, electronics, or hardware-focused environments.
• Knowledge of AI infrastructure, high-performance computing, servers, networking, storage technologies, or related hardware ecosystems.
• Demonstrated experience leading supplier negotiations, commercial agreements, and sourcing projects.
• Strong analytical and commercial skills, including cost modelling, pricing analysis, and total cost of ownership methodologies.
• Experience managing supplier performance and driving measurable improvements in cost, quality, delivery, and supply continuity.
• Ability to assess technical requirements and collaborate effectively with engineering and product development teams.
• Strong project management skills with the ability to manage multiple priorities in a fast-paced environment.
• Excellent communication, stakeholder management, and influencing skills.
• Proficiency with Microsoft Office applications, including Excel and PowerPoint.

Desirable:

• Experience sourcing infrastructure hardware, compute platforms, servers, networking equipment, storage systems, PCBAs, or related technologies.
• Familiarity with global supplier ecosystems across North America, Europe, and Asia.
• Experience supporting data center, cloud infrastructure, AI infrastructure, or high-performance computing deployments.
• Understanding of manufacturing processes, supplier industrialization, and new product introduction activities.
• Experience developing supplier risk management, resiliency, and business continuity programmes.
• Knowledge of responsible sourcing and sustainability considerations within technology supply chains.

In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future.

Job Data by YubHub.

Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. You will work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. The team operates in squads, fostering a culture of service ownership and empowerment for engineers.

Responsibilities and Duties

• Develop, own, and maintain tools and services to support the software organisation
• Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack
• Manage Cloud Infrastructure using tools such as Terraform

Candidate Profile Essential:

• Practical experience developing in Go
• Familiarity with cloud services (AWS preferred)
• Experience managing or developing in Linux environments
• Understanding of CI/CD principles
• Strong experience of Kubernetes (k8s) development and deployment

Desirable:

• Experience developing Kubernetes Controllers
• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
• Experience with GitHub Actions
• Experience with distributed HPC systems
• Experience with modern observability tooling (e.g. Prometheus)
• Knowledge of Python/C++ (or similar language)

Benefits [No benefits listed]

Job Data by YubHub.

You will develop essential tools and services that empower our broader software team, enhancing the build, test, deployment, and productisation processes of our Machine Learning Software components.

The Software Infrastructure team provides critical platforms and services for software development teams across the business, including managing the CI platform and services, build engineering, component integration, and packaging and release systems.

Responsibilities and duties:

• Develop, own, and maintain tools and services to support the software organisation
• Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack
• Manage our Cloud Infrastructure using tools such as Terraform

Candidate profile: Essential:

• Practical experience developing in Go
• Familiarity with cloud services (AWS preferred)
• Experience managing or developing in Linux environments
• Understanding of CI/CD principles
• Strong experience of Kubernetes (k8s) development and deployment

Desirable:

• Experience developing Kubernetes Controllers
• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
• Experience with GitHub Actions
• Experience with distributed HPC systems
• Experience with modern observability tooling (e.g. Prometheus)
• Knowledge of Python/C++ (or similar language)

Benefits: None mentioned

Job Data by YubHub.

The Software Infrastructure team provides critical platforms and services for software development teams. Responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems.

Key responsibilities:

• Develop, own, and maintain tools and services to support the software organisation
• Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack
• Manage Cloud Infrastructure using tools such as Terraform

Essential skills:

• Practical experience developing in Go
• Familiarity with cloud services (AWS preferred)
• Experience managing or developing in Linux environments
• Understanding of CI/CD principles
• Strong experience of Kubernetes (k8s) development and deployment

Desirable skills:

• Experience developing Kubernetes Controllers
• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
• Experience with GitHub Actions
• Experience with distributed HPC systems
• Experience with modern observability tooling (e.g. Prometheus)
• Knowledge of Python/C++ (or similar language)

Benefits are not specified.

Job Data by YubHub.

You will develop essential tools and services that empower our broader software team, enhancing build, test, deployment, and productisation processes of our Machine Learning Software components.

The Software Infrastructure team provides critical platforms and services for software development teams across the business, including managing the CI platform and services, build engineering, component integration, and packaging and release systems.

Responsibilities and duties:

• Develop, own, and maintain tools and services to support the software build and release process
• Deploy and maintain services with Kubernetes and Docker
• Manage Cloud Infrastructure using tools such as Terraform

Candidate profile: Essential:

• Knowledge of Python/Go/C++ (or similar language)
• Experience deploying services in the cloud (AWS preferred)
• Deep understanding of Linux environments
• Native user of CI/CD for production deployments
• Experience with Infrastructure as Code (IaC) tools (e.g., Terraform/OpenTofu)

Desirable:

• Experience using Kubernetes (k8s) or OpenStack
• Experience with GitHub Actions
• Experience with build tools (e.g., CMake)
• Experience with modern observability tooling (e.g., Prometheus)
• Experience with Grafana

Benefits:

Job Data by YubHub.

Build the framework support that helps AI developers unlock Graphcore hardware. You will help Graphcore accelerators work seamlessly with state-of-the-art ML frameworks, including Triton and PyTorch.

Reporting to a Team Lead in Frameworks, you will design, implement, optimise and support critical software. Your work will shape how researchers and engineers use Graphcore hardware for demanding machine learning workloads.

You will improve performance, quality and usability across a complex software stack. You will join our Triton team, delivering new features, reviewing code, writing technical documentation and working with upstream communities.

You will also help coordinate open-ended technical work across teams. This role offers deep technical ownership and visible impact as the ML software landscape evolves.

The team and culture

The Frameworks team connects Graphcore hardware with the tools ML engineers and researchers rely on. We work across PyTorch, Triton, JAX and TensorFlow, focusing on usability and performance.

Engineers are trusted to speak up, solve hard problems and move work forward with pace. Decisions are shaped by evidence, code quality and business outcomes.

What we're looking for

• Strong software engineering skills, with the judgement to manage quality, complexity and technical debt.
• Experience developing in Python and C++.
• Experience in compiler development.
• Ability to manage complex technical tasks with cross-team dependencies.
• Clear communication skills, with a proactive approach to collaboration and technical leadership.
• Interest in AI, ML frameworks, performance optimisation or computationally intensive engineering.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility.
• Generous leave: Take time to rest, recharge and enjoy life outside of work.
• Retirement planning support: Up to 5% matched pension.
• Phantom equity: Share in Graphcore's success.
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day.
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones.

Job Data by YubHub.

As a Software Engineer - Triton at Graphcore, you will play a crucial role in building framework support to help AI developers unlock Graphcore hardware. You will work on making Graphcore accelerators work seamlessly with state-of-the-art ML frameworks, including Triton and PyTorch. Your responsibilities will include designing, implementing, optimizing, and supporting critical software that shapes how researchers and engineers use Graphcore hardware for demanding machine learning workloads.

Responsibilities

• Design, implement, optimize, and support critical software for Graphcore hardware
• Help improve performance, quality, and usability across a complex software stack
• Collaborate with the Triton team to deliver new features, review code, write technical documentation, and work with upstream communities
• Coordinate open-ended technical work across teams

Requirements

• Strong software engineering skills with judgment to manage quality, complexity, and technical debt
• Experience developing in Python and C++
• Experience in compiler development
• Ability to manage complex technical tasks with cross-team dependencies
• Clear communication skills with a proactive approach to collaboration and technical leadership
• Interest in AI, ML frameworks, performance optimization, or computationally intensive engineering

Benefits

• Flexible working
• Comprehensive healthcare and dental cover
• Phantom equity
• Fitness and wellbeing support
• Financial protection
• Retirement savings
• Employee Assistance Programme (EAP)

Team and Culture

The Frameworks team connects Graphcore hardware with tools ML engineers and researchers rely on, working across PyTorch, Triton, JAX, and TensorFlow with a strong focus on usability and performance.

Job Data by YubHub.

Build the framework support that helps AI developers unlock Graphcore hardware. You will help Graphcore accelerators work seamlessly with state-of-the-art ML frameworks, including Triton and PyTorch.

Reporting to a Team Lead in Frameworks, you will design, implement, optimise and support critical software. Your work will shape how researchers and engineers use Graphcore hardware for demanding machine learning workloads. You will improve performance, quality and usability across a complex software stack.

You will join our Triton team, delivering new features, reviewing code, writing technical documentation and working with upstream communities. You will also help coordinate open-ended technical work across teams.

This role offers deep technical ownership and visible impact as the ML software landscape evolves. You will keep learning and may contribute across other framework teams.

The team and culture

The Frameworks team connects Graphcore hardware with the tools ML engineers and researchers rely on. We work across PyTorch, Triton, JAX and TensorFlow, focusing on usability and performance.

Work happens through agile practices, close technical discussion and clear ownership. Engineers are trusted to speak up, solve hard problems and move work forward with pace. Decisions are shaped by evidence, code quality and business outcomes.

You will work across Graphcore and with open-source communities to deliver software developers can trust.

What we're looking for

• Strong software engineering skills, with the judgement to manage quality, complexity and technical debt.
• Experience developing in Python and C++.
• Experience in compiler development.
• Ability to manage complex technical tasks with cross-team dependencies.
• Clear communication skills, with a proactive approach to collaboration and technical leadership.
• Interest in AI, ML frameworks, performance optimisation or computationally intensive engineering.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility.
• Generous leave: Take time to rest, recharge and enjoy life outside of work.
• Retirement planning support: Up to 5% matched pension.
• Phantom equity: Share in Graphcore's success.
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day.
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones.
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover.
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn.

Job Data by YubHub.

Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You'll bring fresh ideas, put your learning into practice and help shape what we're creating. Along the way, you'll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence.

Use your programming skills and curiosity to help AI models run efficiently on next-generation Graphcore hardware.

In AI Compute Libraries & Performance, you'll contribute to C++ libraries and compute kernels for machine learning workloads. Your work will include:

• Developing compute kernels: Implement and improve operations such as matrix multiplication (GEMM), convolutions, reductions, elementwise operations and fused kernels that combine multiple operations.

• Understanding and improving performance: Use profiling and microbenchmarks to measure execution speed and investigate how threading, cache locality, memory layout and kernel launch efficiency affect performance.

• Checking correctness and reliability: Build regression tests and numerical checks, investigate issues and improve the quality of the libraries our customers use.

Through these projects, you'll develop practical experience connecting numerical computing with how code runs on hardware, helping deliver software that is fast, accurate and reliable.

You'll join a team building high-performance compute libraries that help customers get more from Graphcore hardware. Our work brings together machine learning, numerical computing and accelerator performance, with colleagues sharing their expertise to solve engineering problems.

You'll contribute to clearly scoped projects and build your skills with guidance from engineers working in performance and low-level software. Together, we use profiling, experiments and technical reviews to compare approaches, understand trade-offs and improve our solutions.

Your buddy will help you settle in, get familiar with our tools and ways of working, and find the right people to ask. Your manager will meet with you regularly to agree goals, offer feedback and discuss your development, including time for learning.

We welcome different perspectives and make space for everyone to contribute. Questions, alternative approaches and requests for help are part of how we work. As you take on more responsibility, your colleagues will help you work through challenges, and your ideas will be listened to and discussed respectfully.

Over the 12 weeks, you'll build performance engineering skills through hands-on work on compute kernels, benchmarks and tests.

Profiling and experiments will help you understand where time is spent and how changes to code and data layout affect performance. Numerical validation and regression testing will show you how to check that an optimisation preserves correct results and continues to work as software changes.

Working with specialists and discussing technical trade-offs will help you develop your engineering judgement, explain your findings and connect mathematical operations to efficient implementations on hardware.

We're looking for someone who is currently studying towards a bachelor's or master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field.

You should have experience with C or C++11, plus familiarity with Python or scripting tools for automation and testing. An understanding of linear algebra, numerical methods or scientific computing is also important.

Problem-solving skills and a collaborative approach to unfamiliar technical challenges are essential. Previous industry experience is not required. Tell us what you built or investigated through coursework, personal or team projects or other relevant experience, how you approached it and what you learned.

Coursework or experience with machine learning frameworks, parallel programming, code optimisation, maths libraries or performance analysis would be useful. These are additional strengths, rather than essential requirements.

Benefits include:

• Flexible working: Find a balance between your internship and life outside work

• 5 days of annual leave: Take time to rest and recharge during your 12-week internship

• Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista

• Learning and development: Build your skills and explore your interests with access to O'Reilly, our online learning platform

Job Data by YubHub.

As a Software Engineering Intern in Drivers and Utilities, you'll work on the drivers that connect Graphcore's AI hardware with machine learning software, exploring kernel and user-space development alongside engineers working across the hardware and software stack.

Your tasks could include writing code, adding unit tests, and manually testing your own and teammates' changes, as well as helping maintain continuous integration (CI) and fixing issues.

The team and culture: You'll work with engineers who collaborate directly with Poplar SDK developers, silicon engineers, and hardware engineers. Technical design discussions, code reviews, and Scrum sessions will help you understand how the team develops and coordinates its work.

How you'll learn and grow: Over the 12 weeks, you'll build practical experience in low-level software development, testing, and continuous integration. You'll learn how to check your work, investigate issues, and contribute to a shared codebase.

What we're looking for:

• Currently studying for a bachelor's or master's degree in Computer Science, Maths, Machine Learning, Data Science, or a related field
• Low-level software experience, such as embedded code or device drivers, and introductory programming experience in C, C++, or Python
• Basic electronics knowledge, including the ability to read and understand schematics and datasheets
• Awareness of continuous integration systems such as Jenkins, plus experience using Git to manage source code

Benefits:

• Flexible working
• 5 days of annual leave
• Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream, and an on-site barista
• Learning and development: Build your skills and explore your interests with access to O'Reilly, our online learning platform

Job Data by YubHub.

The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.

Responsibilities and Duties:

• Developing our internal tooling for building, testing and integrating together the ML Software Stack
• Developing tools and technical processes for Software Releases
• Providing guidance to developers on best build practices and dependency management
• Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
• Working closely with QA and the ML Software Stack to resolve any integration issues
• Contributing fixes towards the ML Software Stack

Essential:

• Knowledge of Python/C++ (or similar language)
• Understanding of Build Processes and Frameworks
• Experience working in Linux environments
• Good communication skills

Desirable:

• Experience with Remote Caching and Execution (e.g. Bazel)
• Experience with Build Tools (e.g. CMake)
• Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
• Experience with Integration Tools (e.g. Buildstream)
• Experience working within the Software Development Lifecycle (SDLC)
• Experience with building and using containers (e.g. Docker, Podman)
• An understanding of Software Architecture patterns

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!

Job Data by YubHub.

The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.

Responsibilities and Duties:

• Developing our internal tooling for building, testing and integrating together the ML Software Stack
• Developing tools and technical processes for Software Releases
• Providing guidance to developers on best build practices and dependency management
• Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
• Working closely with QA and the ML Software Stack to resolve any integration issues
• Contributing fixes towards the ML Software Stack

Essential:

• Knowledge of Python/C++ (or similar language)
• Understanding of Build Processes and Frameworks
• Experience working in Linux environments
• Good communication skills

Desirable:

• Experience with Remote Caching and Execution (e.g. Bazel)
• Experience with Build Tools (e.g. CMake)
• Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
• Experience with Integration Tools (e.g. Buildstream)
• Experience working within the Software Development Lifecycle (SDLC)
• Experience with building and using containers (e.g. Docker, Podman)
• An understanding of Software Architecture patterns

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!

Job Data by YubHub.

The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.

Responsibilities and Duties:

• Developing our internal tooling for building, testing and integrating together the ML Software Stack
• Developing tools and technical processes for Software Releases
• Providing guidance to developers on best build practices and dependency management
• Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
• Working closely with QA and the ML Software Stack to resolve any integration issues
• Contributing fixes towards the ML Software Stack

Essential:

• Knowledge of Python/C++ (or similar language)
• Understanding of Build Processes and Frameworks
• Experience working in Linux environments
• Good communication skills

Desirable:

• Experience with Remote Caching and Execution (e.g. Bazel)
• Experience with Build Tools (e.g. CMake)
• Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
• Experience with Integration Tools (e.g. Buildstream)
• Experience working within the Software Development Lifecycle (SDLC)
• Experience with building and using containers (e.g. Docker, Podman)
• An understanding of Software Architecture patterns

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).

Job Data by YubHub.

The library enables users to utilise large computing clusters, making communication an important part of running workloads at scale.

You'll implement, test and document library features, working with other teams to design and test new functionality.

You'll also troubleshoot complex technical issues and help integrate new hardware with the existing AI ecosystem.

The team and culture

We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting.

Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves.

The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter.

What we're looking for

• Experience developing software in C++, with experience using Python and C
• Good problem-solving skills and the ability to debug and resolve complex technical issues
• Experience with unit testing frameworks such as Boost.Test and Google Test
• Experience with build tools including CMake, Make and Ninja
• Strong understanding of version control systems, preferably Git
• Knowledge of multithreading, parallel computing and inter-process communication for efficient concurrent applications

Desirable experience

• RDMA networking libraries such as libibverbs or libfabric
• Parallel algorithms and optimisation for AI/ML and HPC systems
• Continuous Integration/Continuous Delivery pipelines, including GitHub Actions or GitLab CI
• Communication libraries such as NCCL or MPI
• Machine learning frameworks such as PyTorch
• Modern C++ standards, including C++17 and C++20

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
• Phantom equity: Share in Graphcore's success
• Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
• Financial protection: Death and disability insurance, providing financial security for you and your loved ones
• Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
• Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

Job Data by YubHub.

Responsibilities and Duties:

• Build the SRE Organization:
• Build and develop the team from its initial formation through full 24x7x365 production operations.
• Mentor engineers and team leads, develop successors, and build an organization capable of operating effectively without depending on any single individual.
• Work with leadership to forecast staffing requirements as the platform grows.
• Establish the Production Operating Model:
• Define the operating model for an SRE organization.
• Establish clear operational interfaces with Datacenter Operations, engineering teams, vendors, and other service owners.
• Establish and continuously improve production readiness standards, runbooks, operational procedures, and incident response practices.
• Engineer Reliability Into the Platform:
• Embed with platform engineering teams during development to ensure reliability, serviceability, observability, and operational requirements are incorporated into the platform.
• Lead the development of SLOs, operational health indicators, alerting standards, incident severity definitions, and reliability reporting.
• Build a culture in which recurring operational problems are engineered out through automation and improved observability.
• Lead Production Operations:
• Lead or participate in major production incidents.
• Establish a blameless post-incident review process.
• Serve as the senior operational authority for the SRE organization.

Required Skills and Experience:

• Significant experience leading or building an SRE, Production Engineering, Infrastructure Reliability, or comparable function.
• Experience taking a new or rapidly evolving platform through production readiness, launch, stabilization, and ongoing operation.
• Strong understanding of modern Site Reliability Engineering principles.
• Strong incident leadership experience.
• A strong systems engineering background with a working understanding of Linux, networking, storage, distributed systems, automation, and production infrastructure.
• Ability to operate effectively at both the leadership and hands-on technical levels.
• Demonstrated ability to lead, hire, mentor, develop, and retain a growing team of strong technical engineers.

Desired but Not Required:

• Experience in high-performance networking technologies, large-scale parallel or distributed storage systems, workload schedulers and orchestration platforms, production observability and service-level monitoring, custom or early-generation hardware, firmware, or environments.

What Success Looks Like:

• The SRE organization is staffed, trained and capable of supporting the platform through production launch and subsequent growth.
• Production readiness, observability, incident management and operational engineering practices are embedded into how the platform is developed and operated.
• The team has the technical depth, automation and operating discipline to resolve most production issues independently.

In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future.

Job Data by YubHub.

You will plan verification, define coverage, generate tests and diagnose failures. You will also improve shared infrastructure that helps engineers move faster and identify problems earlier.

The team and culture: The verification team works closely with Architecture, Logical Design and Physical Design. Clear plans, coverage goals, test results and direct technical feedback shape the work.

Requirements:

• Verification experience in CPU, ASIC or closely related silicon environments
• Experience with UVM, SVA, assembly, compilers, Git or DRMS tools
• Ability to plan verification work and drive functional coverage to closure
• Strong debugging skills across RTL, software and shared verification infrastructure
• Confident in SystemVerilog and Python

Benefits:

• Flexible working
• Generous leave
• Retirement planning support: Up to 5% matched pension
• Phantom equity
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista
• Peace of mind protection: Income protection and life assurance
• Electric Vehicle Scheme
• Flexible benefits: Tailor your benefits package

Job Data by YubHub.

Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You'll bring fresh ideas, put your learning into practice and help shape what we're creating.

As a Silicon summer intern, you'll join one of our four specialist Silicon teams: logical design, verification, physical design or design for test (DFT). You'll contribute to real chip development, learning from experienced colleagues and building your understanding of how advanced AI chips are designed, verified and prepared for manufacture.

Depending on your team, you'll work on areas such as register-transfer level (RTL) design, SOC integration, verification methods, physical implementation or the critical role of DFT. You'll use industry-standard electronic design automation (EDA) tools and take ownership of clear tasks, with support from experienced engineers.

During the 12-week programme, you'll develop practical silicon engineering skills in the team you join, building on the fundamentals you've learned through your studies and projects. Hands-on tasks will help you learn modern design techniques and use industry-standard EDA tools.

We're looking for:

• Working towards a degree in Electronic Engineering, Computer Science, or a related subject such as Physics or Maths.
• Technical skills in C, C++ or Python, demonstrated through study, projects, hobbies or practical experience.
• An interest in AI compute and silicon design, including ASICs, verification, logical design, DFT or physical design, with motivation to learn EDA tools and modern design techniques.
• A curious, self-starting approach, with examples from activities or hobbies beyond your studies, plus clear communication and the ability to work well with others.

Benefits:

• Flexible working: Find a balance between your internship and life outside work.
• 5 days of annual leave: Take time to rest and recharge during your 12-week internship.
• Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista.
• Learning and development: Build your skills and explore your interests with access to O'Reilly, our online learning platform.

Job Data by YubHub.

We are looking for high-quality silicon physical design engineers to complement our existing exceptional team. We have a range of roles available with focus on those with extensive ranges of skills and experience although exceptional candidates with less experience will be considered.

Responsibilities and Duties

Applicants will be expected to contribute technically to the development of Graphcore's next generation of AI superchips, focusing on achieving robust, high-performance and power-efficient designs in leading-edge process technologies while meeting ambitious development schedules.

Contributions are expected to span multiple areas and involve:

• using state-of-the-art EDA tools and in-house Graphcore flows to deliver final designs that are of sign-off quality
• enhancing existing flows and in-house tools/APIs to support new features and/or methodologies
• analysis and/or debugging of complex engineering problems leading to workable solutions
• developing an understanding of emerging technical issues and applying that knowledge to optimise in-house flows and methodologies

Candidate Profile

Essential Skills and Experience:

• A Degree in Electronic/Electrical Engineering, Computer Science or related subject
• Be highly motivated, a self-starter, and a team player
• Enjoy taking responsibility and improving skills and knowledge
• Excellent problem-solving skills for debugging issues seen and finding root causes
• Ability to program/script (required to solve design issues, typically in Tcl and Python)
• Experience in 7nm or smaller technologies
• A good breadth of experience with physical design flows including: Floorplanning/Budgeting, Synthesis, Place and Route, Clock CTS, Timing Analysis, Logical Equivalence, Physical Verification (DRC/LVS/ERC)

Desirable Skills and Experience:

• In depth expertise in one or more aspects of physical design flows
• Structuring of builds to maximise PPA
• Silicon transistor knowledge including std cell libraries and/or memories
• 2D and 3D design (CoWoS, UCIe etc.)
• High speed, high power and/or full reticle chip design
• Ethernet, PCIe, LPDDR, HBM interfaces
• Power integrity and optimization
• 2nm or 3nm technologies
• Chip finishing (pad rings, chip level LVS/DRC/ERC)
• Design for test
• Team management
• Project Planning

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).

Job Data by YubHub.

You will develop, extract and simulate PCB structures across production systems and test boards. You will define launches, via structures, transmission lines, stack-ups and low-loss materials for future designs. This role spans simulation, lab validation and practical design influence. You will work from concept through prototype bring-up, debug, validation and support for manufacture.

The team and culture You will join the Hardware Engineering team, working closely with PCB, package substrate, system architecture and supplier teams. Work moves through simulation, design review, lab evidence and practical trade-offs. You will be expected to own signal integrity decisions across complex board and package interfaces.

The team values careful analysis, pace and clear communication when problems need action. Decisions are made close to the engineering detail. You will challenge designs, guide constraints and help teams reach the best performance possible.

What we're looking for

• Strong experience in high-speed digital circuit development, with deep signal and power integrity knowledge
• Experience with high-frequency SERDES design and validation, including tens of GHz operation
• Expertise using tools such as ANSYS SIWave, HFSS, Mentor HyperLynx or similar
• Ability to design BGA and connector launches, via structures and transmission lines for GHz signals
• Hands-on lab experience using VNAs, high-speed oscilloscopes and signal generators
• Rigorous approach to design, debug and validation, with strong ownership and communication skills

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover

Job Data by YubHub.

Graphcore is seeking a highly skilled System Tests & Diagnostics Engineer to develop, extend, and integrate specialized silicon validation and diagnostics tools for next-generation AI SoCs.

You will work closely with Arm engineers to understand and extend existing diagnostics technologies while developing Graphcore-specific capabilities for future AI hardware.

Responsibilities and Duties

• Learn and extend existing Arm diagnostics tools to support Graphcore’s AI platform.
• Develop specialized diagnostics and stress-testing software for CPU, memory, interconnect, PCIe, and other system components.
• Build reusable validation utilities that integrate into the existing validation framework.
• Develop tools that expose intermittent hardware failures including silent data corruption, timing-related issues, and hardware instability.
• Design configurable diagnostic applications supporting multiple silicon revisions, platforms, and execution environments.
• Develop automation for executing diagnostics across server and rack-scale validation environments.
• Design configuration-driven diagnostics supporting scalable parameterization and workload variation.
• Collaborate with hardware architects to understand new hardware capabilities and identify missing diagnostics.
• Work closely with firmware and validation teams to improve hardware observability.
• Debug low-level hardware, firmware, operating system, and driver interactions.
• Analyze diagnostic output and improve fault isolation methodologies.
• Develop software that enables engineers to reproduce and investigate difficult hardware failures.
• Contribute reusable libraries and utilities that improve engineering productivity across multiple validation teams.

Candidate Profile

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• Experience developing hardware diagnostics, system validation software, firmware validation tools, or low-level systems software.
• Strong software development skills in Python and C/C++.
• Strong Linux systems experience.
• Strong understanding of modern server platform architecture, including how CPU, memory, PCIe, storage, networking, firmware, operating system, and device drivers interact within a complete system.
• Experience debugging hardware/software interactions across multiple layers of the platform.
• Experience developing diagnostics, stress testing, or hardware validation software.
• Experience with server platforms, embedded systems, or SoC validation.
• Strong analytical and debugging skills.
• Experience collaborating across hardware, firmware, software, and validation teams.
• Excellent communication and problem-solving skills.

Desirable

• Arm-based server platforms
• AI accelerators or high-performance computing systems
• Silent Data Corruption (SDC) testing
• Hardware stress testing
• Power transient analysis
• Hardware fault injection methodologies
• Firmware validation
• Silicon bring-up
• Performance characterization
• Hardware telemetry and observability
• BMC firmware or server management
• RAS (Reliability, Availability, Serviceability) technologies
• Validate across subsystems: CPU scaling and cache behavior, Memory (DDR/HBM) bandwidth, latency, and NUMA effects, Interconnect contention under multi-core load, PCIe/I-O throughput, latency, and multi-device scenarios, High-speed I/O validation

What Success Looks Like

Successful candidates will:

• Extend existing diagnostics technologies to support new Graphcore hardware.
• Develop new diagnostics tools for emerging hardware capabilities.
• Build reusable software components that integrate seamlessly with the existing validation framework.
• Improve hardware observability and root-cause isolation.
• Detect and characterize intermittent hardware failures that traditional validation techniques cannot expose.
• Deliver configurable diagnostics that scale across multiple platforms and silicon revisions.
• Work effectively across hardware, firmware, validation, and diagnostics teams to continuously improve platform quality.

Why Join Graphcore?

This role provides a unique opportunity to work at the intersection of hardware architecture, diagnostics, and software engineering while helping define how next-generation AI systems are validated.

USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP).

Job Data by YubHub.

You will be part of a new team responsible for integrating different system software deliverables and developing system tests spanning all components. You will contribute to shaping the test strategy, guide best practices, and solve complex problems while maintaining a strong hands-on focus.

Responsibilities and Duties:

• Act as a technical authority for designing test infrastructure and features.
• Design, implement, execute, and report on high-quality tests to ensure the team has a high-quality gate for the system software release package.
• Develop reusable and scalable pipeline solutions to support component teams.
• Design, implement, and maintain internal tools.
• Take ownership of technically challenging areas and ensure near 100% feature coverage.
• Perform initial triage and debugging of both internal and external issues.
• Review and improve design, coding, and implementation processes across the team.

Cross-Functional Interactions:

• Collaborate with component developers and QA to understand interactions between different components.
• Consult stakeholders of the package to understand their use-cases to develop robust system tests.
• Develop acceptance pipelines covering tests across teams using the system software package.
• Communicate complex technical concepts clearly to both expert and non-expert audiences.

Quality, Reliability, and System Thinking:

• Ensure correctness, robustness, security, scalability, and maintainability of tools and pipeline solutions.
• Contribute to improvement in validation framework, CI/CD systems, testing methodologies, and packaging pipelines.
• Drive root-cause investigations and long-term corrective actions along with component teams for all incoming issues.

Mentorship:

• Mentor junior engineers within the team.
• Raise quality and coding standards through guidance, best practices, and setting an example.
• Contribute to long-term improvements in culture and team ceremonies.

Candidate Profile Essentials:

• 10+ years of experience in low-level system testing and integration.
• Experience working with RTOS and complex boot logic.
• Experience working with Linux and device drivers.
• Experience in test development using Python and C/C++.
• Experience with CI/CD pipelines using GitHub/GitLab/Jenkins or similar.
• Experience with build and integration tools and modern testing practices.
• Excellent problem-solving skills and a track record of working with complex cross-layer issues.
• Strong communication skills and proven ability to document.

Desired:

• Experience working with server-class systems.
• Experience either with openBMC or Zephyr.
• Experience with Qemu or similar emulation environment.

Job Data by YubHub.

You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale.

Your work will help infrastructure engineers, architects and application specialists understand system behaviour, performance, scalability and reliability across the stack.

You will also help develop tooling and automation to collect, analyse and visualise system metrics.

The System QA team is distributed across multiple locations, working hard to stay connected and collaborate closely.

We value trust, autonomy and openness, and understand that great engineers don't all follow the same career path.

Benefits include flexible working, generous leave, retirement planning support, phantom equity, workplace experience, peace of mind protection, flexible benefits and optional benefits.

Requirements:

• Comfortable using Python to write tests, automate tasks, analyse data or develop practical engineering tools.
• Strong analytical and problem-solving skills.
• A curiosity-driven approach to investigating complex systems.
• Ability to explain technical findings clearly, using accurate and reproducible evidence.
• Confidence to work independently, take responsibility and collaborate across engineering teams.
• Experience in some of the following would be valuable: AI workloads and benchmarking, systems architecture, parallel and distributed computing, automation, containers or modern orchestration infrastructure

Job Data by YubHub.

You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms.

Responsibilities include:

• Diagnosing failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues
• Turning hard problems into clear root cause analysis, corrective action and better operating practice
• Supporting new platforms from early bring-up through deployment

Requirements:

• Strong knowledge of server hardware architectures and board-level debugging
• Experience isolating failures using system logs, telemetry, power data and thermal metrics
• Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure
• Ability to lead structured root cause analysis and propose practical corrective actions
• Confidence working across engineering, platform and data centre teams

Benefits:

• Flexible working
• Generous leave
• Retirement planning support: up to 5% matched pension
• Phantom equity
• Workplace experience: thoughtfully designed office spaces, free food and on-site barista
• Peace of mind protection: income protection and life assurance
• Flexible benefits: tailor your benefits package with a choice of additional options

Job Data by YubHub.

This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems.

The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore's AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems.

Responsibilities and Duties:

• Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure.
• Support engineering bring-up activities, including component validation and firmware interaction testing.
• Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues.
• Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements.
• Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles.
• Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability.
• Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation.
• Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics.
• Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases.

Candidate Profile: Essential:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline.
• 7+ years experience with server hardware architectures and board-level debugging.
• Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures.
• Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure.
• Strong collaboration skills and ability to work effectively in fast-paced engineering environments.
• Excellent written and verbal communication skills.

Desirable:

• Experience supporting prototype or pre-production hardware bring-up.
• Familiarity with data center facilities, including liquid cooling and power distribution systems.
• Experience using Python, Bash, or automation tools for hardware validation or troubleshooting.
• Exposure to structured failure analysis and reliability engineering methodologies.

USA Benefits: In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP).

Job Data by YubHub.

As a Senior Software Engineer (ML QA) at Graphcore, you will design and build production-quality test infrastructure for the company's machine learning stack, spanning frameworks to AI accelerator hardware.

Your primary responsibility will be to create scalable test frameworks and CI/CD pipelines that run across simulators, emulators, and physical hardware. You will develop representative ML workloads, analyze their execution, and translate the results into practical improvements to testing and tooling.

Responsibilities and Challenges

In this role, you will have the opportunity to shape software architecture and developer experience, going beyond adding tests to existing systems. You will work closely with software teams, utilizing code and design reviews to enhance quality, security, and maintainability.

Key responsibilities include:

• Designing production-quality test infrastructure that engineers can extend, maintain, and rely on.
• Architecting scalable test frameworks and building CI/CD pipelines.
• Creating representative ML workloads and analyzing their execution.
• Mentoring junior engineers to elevate the team's technical standards.

Requirements and Qualifications

To excel in this position, you should possess:

• Strong Python skills, with experience in designing, developing, and maintaining production-quality software.
• Expertise in software design and architecture for large, complex codebases, focusing on testability and long-term maintainability.
• Experience with building CI/CD pipelines and automated testing systems in Linux environments.
• Familiarity with C or C++, including the ability to read, debug, and reason about low-level code.
• The ability to mentor junior engineers and influence engineering practices through constructive feedback.
• A self-directed approach to solving complex problems, identifying gaps, and driving improvements.

Benefits

Graphcore offers a comprehensive benefits package, including:

• Flexible working arrangements
• Generous leave policy
• Retirement planning support with up to 5% matched pension
• Phantom equity
• Thoughtfully designed office spaces with free food and an on-site barista
• Income protection and life assurance
• Electric Vehicle Scheme
• Flexible benefits, including private medical insurance and dental cover

Company Culture

Graphcore values diversity and inclusivity, welcoming individuals from all backgrounds and experiences. The company is committed to creating an environment where everyone can perform at their best.

Job Data by YubHub.

You will align demand, material readiness, build plans, factory capacity, and delivery commitments with manufacturing ramp schedules across Graphcore's global operations.

This role combines hands-on execution with strong operational and financial judgment.

Responsibilities:

• Lead day-to-day operational engagement and performance management with global component suppliers, contract manufacturers, and rack-level system integrators.
• Manage supplier allocation, material availability, factory readiness, line capacity, build schedules, and final system delivery commitments.
• Aggregate demand signals across Engineering, Product, Manufacturing, and other internal teams to create aligned forecasts, build plans, and target commitments.
• Drive supply chain readiness and factory ramp execution through NPI milestones.
• Monitor component and system-level constraints, lead times, shortages, and delivery risks.
• Establish standardized workflows for purchase order placement, open-order tracking, inventory reconciliation, and excess and obsolete inventory management.
• Build and maintain operational plans, supplier scorecards, dashboards, budgets, and forecasts.
• Partner with suppliers and internal stakeholders to improve lead times, schedule performance, fulfillment, data accuracy, and overall supply chain efficiency.
• Translate complex operating metrics, financial performance, tradeoffs, and risk assessments into concise executive updates.

Requirements:

• 7 or more years of relevant experience in supply chain management, supplier operations, procurement, manufacturing operations, or a related field.
• Experience in one or more relevant environments, such as AI infrastructure, data center systems, enterprise hardware, networking, high-performance computing, semiconductors.
• Direct experience managing contract manufacturers, system integrators, hardware component suppliers.
• Working knowledge of component forecasting and delivery for networking, interconnect, or related hardware.
• A demonstrated record of improving delivery schedules and lead times while managing supplier dependencies, material constraints, and operational risks.
• Experience managing substantial budgets, inventory, delivery commitments, supplier performance, and execution.
• Strong analytical and financial acumen.
• Ability to lead through influence, navigate ambiguity, solve complex operational problems.
• Clear written and verbal communication skills.
• A bachelor's degree in supply chain management, business, engineering, or a related field.

Preferred Qualifications:

• Experience with rack-level system integration and full-system fulfillment.
• Experience supporting product introductions and manufacturing ramps for advanced computing, networking, or data center hardware.
• Experience with enterprise resource planning, purchasing, order-management, inventory, or supplier-performance systems.
• A master's degree or MBA.

U.S. Benefits Overview:

• Medical, dental, and vision coverage.
• A 401(k) retirement plan with company matching.
• Flexible paid time off, paid company holidays, flexible working hours, and parental leave.
• Learning and career development support.

Job Data by YubHub.

Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware.

You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack. You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling.

This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour.

The Team and Culture

Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability.

You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards.

What We're Looking For

• Strong Python skills, demonstrated through designing, developing and maintaining production-quality software.
• Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability.
• Experience building CI/CD pipelines and automated testing systems in Linux environments.
• Familiarity with C or C++, including the ability to read, debug and reason about low-level code.
• The ability to mentor junior engineers and influence engineering practices through constructive feedback.
• A self-directed approach to solving complex problems, identifying gaps and driving improvements.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. The team operates in squads, fostering a culture of service ownership and empowerment for engineers, focusing on long-term engineering solutions and eliminating toil.

Responsibilities and duties:

• Develop, own, and maintain tools and services to support the software build and release process
• Deploy and maintain services with Kubernetes and Docker
• Manage Cloud Infrastructure using tools such as Terraform
• Support the technical development of junior and graduate engineers
• Embody a strong engineering discipline for high reliability and minimal toil

Candidate profile: Essential:

• Knowledge of Python/Go/C++ (or similar language)
• Experience deploying services in the cloud (AWS preferred)
• Deep understanding of Linux environments
• Native user of CI/CD for production deployments
• Experience with Infrastructure as Code (IaC) tools (e.g., Terraform/OpenTofu)

Desirable:

• Experience using Kubernetes (k8s) or OpenStack
• Experience with GitHub Actions
• Experience with build tools (e.g., CMake)
• Experience with modern observability tooling (e.g., Prometheus)
• Experience with Grafana

Job Data by YubHub.

As a Senior Software Engineer (ML QA) at Graphcore, you will design and build production-quality test infrastructure for the company's machine learning stack, spanning frameworks and AI accelerator hardware.

Your work will enable teams to deliver reliable products with clear evidence of numerical accuracy and performance across the stack. You will architect scalable test frameworks, develop CI/CD pipelines that run on simulators, emulators, and physical hardware, and create representative ML workloads.

Responsibilities

• Design production-quality test infrastructure that engineers can extend, maintain, and rely on as Graphcore's ML software grows.
• Architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators, and physical hardware.
• Create representative ML workloads, analyze their execution, and turn the results into practical improvements to testing and tooling.
• Mentor junior engineers and influence engineering practices through constructive feedback.

Requirements

• Strong Python skills, demonstrated through designing, developing, and maintaining production-quality software.
• Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability.
• Experience building CI/CD pipelines and automated testing systems in Linux environments.
• Familiarity with C or C++, including the ability to read, debug, and reason about low-level code.
• The ability to mentor junior engineers and influence engineering practices through constructive feedback.
• A self-directed approach to solving complex problems, identifying gaps, and driving improvements.

Benefits

• Flexible working
• Generous leave
• Retirement planning support: up to 5% matched pension
• Phantom equity
• Workplace experience: thoughtfully designed office spaces for collaboration, with free food and an on-site barista
• Peace of mind protection: income protection and life assurance
• Electric Vehicle Scheme
• Flexible benefits: tailor your benefits package with a choice of additional options
• Optional benefits: dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. The team operates in squads, fostering a culture of service ownership and empowerment for engineers.

Responsibilities and duties:

• Develop, own, and maintain tools and services to support the software build and release process
• Deploy and maintain services with Kubernetes and Docker
• Manage Cloud Infrastructure using tools such as Terraform
• Support junior and graduate engineers technically
• Embody strong engineering discipline for high reliability and minimal toil

Candidate profile: Essential:

• Knowledge of Python/Go/C++ (or similar language)
• Experience deploying services in the cloud (AWS preferred)
• Deep understanding of Linux environments
• Native user of CI/CD for production deployments
• Experience with Infrastructure as Code (IaC) tools (e.g., Terraform/OpenTofu)

Desirable:

• Experience using Kubernetes (k8s) or OpenStack
• Experience with GitHub Actions
• Experience with build tools (e.g., CMake)
• Experience with modern observability tooling (e.g., Prometheus)
• Experience with Grafana

Benefits are not specified in the job posting.

Job Data by YubHub.

The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.

Responsibilities and Duties:

• Developing our internal tooling for building, testing and integrating together the ML Software Stack
• Developing tools and technical processes for Software Releases
• Providing guidance to developers on best build practices and dependency management
• Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
• Working closely with QA and the ML Software Stack to resolve any integration issues
• Contributing fixes towards the ML Software Stack

Essential:

• Knowledge of Python/C++ (or similar language)
• Understanding of Build Processes and Frameworks
• Experience working in Linux environments
• Good communication skills

Desirable:

• Experience with Remote Caching and Execution (e.g. Bazel)
• Experience with Build Tools (e.g. CMake)
• Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
• Experience with Integration Tools (e.g. Buildstream)
• Experience working within the Software Development Lifecycle (SDLC)
• Experience with building and using containers (e.g. Docker, Podman)
• An understanding of Software Architecture patterns

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).

Job Data by YubHub.

Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. You will work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. The team operates in squads, fostering a culture of service ownership and empowerment for engineers.

Responsibilities and Duties

• Develop, own, and maintain tools and services to support the software build and release process
• Deploy and maintain services with Kubernetes and Docker
• Manage Cloud Infrastructure using tools such as Terraform
• Support the technical development of junior and graduate engineers
• Embody a strong engineering discipline for high reliability and minimal toil

Candidate Profile Essential:

• Knowledge of Python/Go/C++ (or similar language)
• Experience deploying services in the cloud (AWS preferred)
• Deep understanding of Linux environments
• Native user of CI/CD for production deployments
• Experience with Infrastructure as Code (IaC) tools (e.g., Terraform/OpenTofu)

Desirable:

• Experience using Kubernetes (k8s) or OpenStack
• Experience with GitHub Actions
• Experience with build tools (e.g., CMake)
• Experience with modern observability tooling (e.g., Prometheus)
• Experience with Grafana

Benefits [No benefits listed]

Job Data by YubHub.

The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.

Responsibilities and Duties:

• Developing our internal tooling for building, testing and integrating together the ML Software Stack
• Developing tools and technical processes for Software Releases
• Providing guidance to developers on best build practices and dependency management
• Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
• Working closely with QA and the ML Software Stack to resolve any integration issues
• Contributing fixes towards the ML Software Stack

Essential:

• Knowledge of Python/C++ (or similar language)
• Understanding of Build Processes and Frameworks
• Experience working in Linux environments
• Good communication skills

Desirable:

• Experience with Remote Caching and Execution (e.g. Bazel)
• Experience with Build Tools (e.g. CMake)
• Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
• Experience with Integration Tools (e.g. Buildstream)
• Experience working within the Software Development Lifecycle (SDLC)
• Experience with building and using containers (e.g. Docker, Podman)
• An understanding of Software Architecture patterns

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).

Job Data by YubHub.

Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.

Responsibilities and Duties:

• Developing our internal tooling for building, testing and integrating together the ML Software Stack
• Developing tools and technical processes for Software Releases
• Providing guidance to developers on best build practices and dependency management
• Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
• Working closely with QA and the ML Software Stack to resolve any integration issues
• Contributing fixes towards the ML Software Stack

Essential:

• Knowledge of Python/C++ (or similar language)
• Understanding of Build Processes and Frameworks
• Experience working in Linux environments
• Good communication skills

Desirable:

• Experience with Remote Caching and Execution (e.g. Bazel)
• Experience with Build Tools (e.g. CMake)
• Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
• Experience with Integration Tools (e.g. Buildstream)
• Experience working within the Software Development Lifecycle (SDLC)
• Experience with building and using containers (e.g. Docker, Podman)
• An understanding of Software Architecture patterns

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!

Job Data by YubHub.

Build the simulator that helps engineers understand and optimise collective communication at AI scale.

As a Senior Software Engineer in the Collectives Simulator team, you will design and develop a large-scale simulator for new AI hardware. Your work will help engineers analyse network parameters and develop communication algorithms for high bandwidth and low latency.

You will lead development across design, implementation, testing and documentation. You will also work with other engineering teams to develop features, troubleshoot complex issues and integrate new hardware with the wider AI ecosystem.

The role combines large-scale software engineering with custom hardware and communication systems. You will shape technical direction, mentor junior engineers and help build the software that enables efficient communication at very high scale.

The team and culture

We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting.

Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves.

The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter.

What we're looking for

• Extensive professional software development experience using C++
• Strong Python and C programming skills
• Experience developing efficient concurrent applications using multithreading and inter-process communication
• Strong debugging and problem-solving skills for complex software systems
• Experience with unit testing frameworks such as Boost.Test or Google Test
• Proficiency with software build systems such as CMake, Make or Ninja

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family
• Phantom equity: Share in Graphcore’s success
• Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres
• Financial protection: Death and disability insurance, providing financial security for you and your loved ones
• Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions
• Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

Job Data by YubHub.

You will shape how Graphcore validates complex device drivers and platform tools, bringing technical depth across Linux kernels, drivers and systems software.

Your work will help raise the quality bar for products that support the next generation of AI compute.

You will influence design decisions, guide test infrastructure and drive reliability across the stack.

Responsibilities include:

• Designing, building, executing and reporting tests across component, system and acceptance levels
• Debugging difficult issues using hardware and software tools, simulators and emulators

The Drivers QA team verifies low-level kernel drivers, user-space libraries and platform tools.

You will work directly with driver developers, hardware, firmware, ML stack, Kubernetes and cloud management teams.

The team values engineers who think big, act fast and take responsibility.

You will mentor others, raise standards and turn hard system problems into lasting improvements.

Requirements:

• Deep experience validating Linux kernels, device drivers or similar systems software
• Strong C++ and Python test development skills
• Experience with CI/CD, build tools and modern automated testing practices
• Ability to debug complex issues across hardware, firmware, drivers and upper software layers
• Proven ownership of technical work, priorities and delivery in an agile engineering setting
• Clear communication skills, including the ability to document and explain complex technical concepts

Benefits:

• Flexible working
• Generous leave
• Retirement planning support: up to 5% matched pension
• Phantom equity
• Workplace experience: thoughtfully designed office spaces for collaboration, with free food and an on-site barista
• Peace of mind protection: income protection and life assurance
• Flexible benefits: tailor your benefits package with a choice of additional options

Job Data by YubHub.

Your work will support developers building and optimising workloads on our advanced AI processors.

You will adapt and expand debugger functionality, resolving complex issues across software and hardware boundaries.

The tools you build will help internal and external users understand behaviour, improve performance and move faster.

You will work closely with software, firmware, hardware, partner and customer teams.

This role offers rare depth across processor architecture, toolchains and real developer workflows.

The team and culture: Work happens close to the technology, with engineers expected to investigate deeply, speak up and take ownership.

The team uses Agile ways of working to keep progress visible and decisions moving.

You will collaborate across software, firmware and hardware teams to identify debug feature opportunities.

Decisions are shaped by technical evidence, user needs and the judgement of engineers closest to the problem.

What we're looking for:

• Experience using debuggers to resolve complex program issues.
• Strong low-level programming skills in C, C++ or Rust.
• Strong understanding of processor architectures.
• Ability to communicate clearly across software, firmware and hardware teams.
• A proactive, self-driven approach to improving product quality and functionality.
• Familiarity with compiler toolchains, debugging protocols, Python, IDE development or PyTorch.

Benefits:

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

We are looking for a senior engineer to design and evolve an application-level simulator for ML workloads that directly influences hardware and software architecture decisions. This role sits at the intersection of machine learning, systems, and hardware design. You will model real-world workloads, predict system behaviour, and provide insights that guide how our platform evolves. Success in this role requires not only strong technical depth, but also the ability to work closely with multiple teams to ensure the simulator reflects reality and drives meaningful decisions.

The Team

The Tenjin team focuses on building advanced simulation capabilities to model and predict the behaviour of large-scale ML workloads on next-generation hardware and software platforms. We operate at the intersection of machine learning, systems, and architecture, developing tools that enable data-driven decisions long before systems are fully built or deployed. Our work helps shape both hardware and software direction by providing early insights into performance, scalability, and efficiency. The team brings together engineers with backgrounds in simulation, ML systems, and computer architecture. We collaborate closely with ML engineers, performance teams, and silicon architects, but operate as an independent group focused on simulation as a core capability.

Responsibilities and Duties

• Design and evolve an ML application-level simulator that models workload execution, system behaviour, and resource usage
• Translate real-world workloads and benchmarking data into accurate simulation models
• Validate simulator outputs against real system measurements and continuously improve fidelity
• Build scalable, maintainable components that support evolving hardware and software capabilities
• Work closely with performance engineers, ML teams, and silicon architects to ensure the simulator reflects real use cases
• Drive adoption of the simulator as a decision-making tool across the organisation

Candidate Profile

Essential:

• Strong C++ development experience, especially in performance-sensitive or large-scale systems
• Strong Python skills and familiarity with ML frameworks (e.g. PyTorch) and execution graphs
• Solid understanding of computer architecture, memory hierarchy, and heterogeneous systems
• Familiarity with ML accelerator concepts (e.g. tensor cores, compute tiles, high-bandwidth memory)

Desirable

• Understanding of modern ML architectures (e.g. transformers, MoE) in training and inference
• Experience with simulators or performance models (hardware or distributed systems)
• Knowledge of parallelism models and their mapping to hardware
• Experience with profiling and debugging complex, multi-layer systems

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees.

Job Data by YubHub.

As a Senior SoC Architect in Bristol, you'll translate product requirements into specifications for complex, highly integrated, high-performance silicon devices. You'll own sub-system architecture, modelling, validation and evaluation, connecting early design choices with practical implementation. You'll help determine how critical components work together, balancing product needs with implementation trade-offs. Those choices will support the specialised compute that lets AI innovators tackle more demanding problems.

You'll assess third-party hard and soft IP, work with vendors and specify how sub-systems integrate across the platform. You'll also contribute to silicon bring-up, characterisation and evaluation when your expertise is needed.

Your contribution won't stop at a specification document. You'll deepen your understanding of AI acceleration by seeing how architectural decisions play out in working silicon.

The team and culture

Reporting to the Director of Silicon Architecture, you will be working with processor, SoC and system architects. Silicon design, verification, hardware and software engineers are partners in evaluating options and checking implementation correctness. You'll represent the team in cross-functional working groups, making trade-offs clear and speaking up when designs need further scrutiny. You'll help teams move forward by resolving complex bugs and improving engineering processes. Mentoring engineers will let you share your judgement and help others develop theirs.

What we're looking for

• A degree in Electronic Engineering, Computer Science or a related subject.
• A solid understanding of computer and SoC architecture.
• Experience writing clear technical specifications.
• Knowledge of RTL development and verification processes.
• The ability to explain design choices clearly and work across engineering teams.
• Confidence working across programming languages, with the initiative to take ownership of technical problems.

While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes.

Benefits

• Flexible working: Balance your work and personal life with greater flexibility
• Generous leave: Take time to rest, recharge and enjoy life outside of work
• Retirement planning support: Up to 5% matched pension
• Phantom equity: Share in Graphcore's success
• Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day
• Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
• Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
• Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
• Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn

Job Data by YubHub.

Working closely with hardware, software, validation, and manufacturing teams, you will develop test content, automation, diagnostics, and characterization capabilities that support silicon bring-up, yield learning, and manufacturing deployment.

The ideal candidate will have strong technical foundations in semiconductor test and validation, excellent debug skills, and a passion for improving product quality and manufacturability.

Responsibilities and Duties

• Develop and maintain SLT test content, automation, diagnostics, and characterization workloads for silicon bring-up and manufacturing readiness activities.
• Execute characterization, voltage/frequency margining, reliability screening, and performance correlation activities while analyzing results and identifying improvement opportunities.
• Support development and deployment of SLT hardware including test boards, sockets, instrumentation, and thermal solutions.
• Integrate validation and bring-up workloads into the SLT environment and support development of manufacturing screening solutions.
• Debug failures, perform root-cause analysis, and support correlation activities across Simulation, ATE, Bench, SLT, and manufacturing environments.
• Develop software tools, scripts, and automation flows for test execution, telemetry collection, data analysis, and reporting.
• Contribute to improvements in test coverage, test-time optimization, DPPM reduction, and manufacturing readiness.
• Work closely with Design, DFT, Silicon Validation, Product Engineering, Manufacturing, and OSAT teams to support product development and deployment activities.
• Support transfer of SLT solutions into production environments and assist with manufacturing ramp activities.
• Mentor junior engineers and contribute to continuous improvement of SLT methodologies and best practices.

Minimum Qualifications:

• Experience in semiconductor test, validation, characterization, post-silicon bring-up, or manufacturing environments.
• Understanding of semiconductor fundamentals, digital systems, power delivery, signal integrity, and board-level debugging.
• Familiarity with DFT concepts including scan, JTAG, BIST, MBIST, boundary scan, and manufacturing test methodologies.
• Experience with Python, Tcl, Shell, or similar scripting languages for automation and data analysis.
• Strong debug, problem-solving, root-cause analysis, and data interpretation skills.
• Experience working with cross-functional teams including Design, DFT, Validation, Product Engineering, or Manufacturing.
• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field.

Preferred Qualifications:

• Familiarity with advanced packaging, chiplets, or high-performance computing products.
• Experience with manufacturing test and production environments, along with OSAT engagement.

Job Data by YubHub.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.

Responsibilities:

• Verification planning, specification and closure of functional coverage
• Providing feedback to architects
• Test generation and failure diagnosis/triage
• Contributing to shared verification infrastructure
• Ensuring good communication between sites

Essential skills:

• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux

Desirable skills:

• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL

Benefits: In addition to a competitive salary, Graphcore offers a competitive benefits package. 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.

Job Data by YubHub.

Working within the logical design team, the silicon logical design engineer is responsible for a wide range of logical design tasks. The team is responsible for delivering the Microarchitecture and RTL design to implement the chip architecture specification for Graphcore Silicon, working closely with other engineers within the Silicon team.

The successful candidate will be responsible for helping the team deliver high quality micro-architecture and RTL for Graphcore chips, working within the logical design team and with the broader Silicon team to ensure we meet the company objectives for Silicon delivery.

Responsibilities and Duties:

• Integrate IP and subsystems into top-level SoC designs
• Develop and maintain build and configuration environments
• Perform synthesis, linting, CDC/RDC, and timing checks at the SoC level
• Support verification and physical design teams through clean interface hand-offs
• Debug and resolve integration-related issues across multiple hierarchies
• Contribute to the continuous improvement of integration flows and automation
• Producing high quality microarchitecture and other documentation
• Ensure good communication between sites to maintain consistent working practises

Candidate Profile: Essential skills:

• Logical design experience in relevant industry
• Experience range 4-8 years in Semiconductor Industry/Product development exposure.
• Be highly motivated, a self-starter, and a team player
• Ability to work across teams and debugging issues seen to find root causes
• Degree in Computer Science, Engineering or related subject
• Ability to script in Python and/or TCL for automation and to solve design issues
• SystemVerilog
• Knowledge of digital design flows

Desirable skills:

• Processor design
• Application specific blocks
• High-speed serial interfaces
• Complex third-party IP integration
• Arithmetic pipeline design
• Floating-point design
• Design for test
• Synthesis
• Timing Analysis
• Project Planning
• Power Integrity
• Silicon transistor

Benefits: In addition to a competitive salary, Graphcore offers a competitive benefits package. 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.

Job Data by YubHub.

The Power and Performance Validation team validates the performance, efficiency, and thermal behaviour of Graphcore silicon and systems across the full product lifecycle.

Key responsibilities:

• Define and lead validation strategies for power, thermal, and performance characterization of AI compute silicon and platforms
• Develop comprehensive validation plans covering functional, stress, workload, and corner-case scenarios
• Lead post-silicon bring-up and characterization activities for power and performance validation
• Drive validation of CPU, memory, interconnect, and high-speed I/O subsystems under complex workload conditions
• Develop scalable automation frameworks, regression infrastructure, and reporting tools using Python
• Collaborate with cross-functional teams to debug and resolve complex technical issues

The ideal candidate will have:

• Strong experience in power and performance validation, silicon characterization, or system performance engineering
• Deep understanding of modern SoC architecture, including CPU, memory, interconnect, and high-speed I/O technologies
• Strong Linux systems knowledge and low-level performance analysis experience
• Strong Python programming skills for automation, orchestration, and data analysis

Job Data by YubHub.

You will be involved with bringing first silicon to life, functionally validating it, and working closely with many other teams to help it become a fully characterised and working product. You will have the opportunity to lead, mentor, and provide technical guidance to other engineering team members.

Responsibilities and duties include:

• Plan, design, develop, and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
• Deploy silicon validation tests on first silicon and debug them
• Develop automated test frameworks and regression test suites in Python to optimize validation efficiency
• Collaborate closely with engineers from many other disciplines on a variety of topics
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
• Analyse test results, identify and debug failures/defects
• Contribute to shared test and validation infrastructure
• Provide feedback to architects

Essential skills:

• Strong experience in Bare metal / embedded C/C++
• Good knowledge of digital ASICs
• Highly motivated, self-starter, and team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the post-silicon validation process applied in digital ASIC environments
• Python, Linux
• Excellent communication skills and the ability to collaborate with others to solve problems
• Excellent problem-solving, analytical & diagnostic skills

Desirable skills:

• Driver level experience with one or more of the following: PCIe, Ethernet, Memory technologies (LPDDR, DDR, HBM, …), Other peripherals such as I2C, I3C, SPI, …
• Good knowledge of mixed-signal building blocks such as PLLs, high-speed PHYs, and IC control/communication protocols
• Experience of Arm CPUs, System IP, and debug tools
• Experience of AMBA protocols
• Understanding of ML applications and their workloads
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support

Benefits: Graphcore offers a competitive benefits package, including a flexible approach to interview and reasonable adjustments.

Job Data by YubHub.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

The physical design team sits within the wider silicon design team which includes RTL, verification and DFT. Our work also involves strong links with architecture, packaging and product engineering. We are responsible for working with those teams to create high-quality RTL and building the final chip layout (e.g. GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g. TSMC).

We are looking to hire high-quality silicon physical design engineers to join our team. The successful candidate will support the team with achieving our goals and creating the right engineering solutions. We are a collaborative team and good communication is essential, as is the ability to adapt and learn.

For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to take ownership of their designs and problem solutions.

Responsibilities and Duties:

• Contribute technically to the development of Graphcore's next generation of AI superchips, focusing on achieving robust, high-performance and power-efficient designs in leading-edge process technologies while meeting ambitious development schedules.
• Use state-of-the-art EDA tools and in-house Graphcore flows to deliver final designs that are of sign-off quality.
• Enhance existing flows and in-house tools/APIs to support new features and/or methodologies.
• Analyse and debug complex engineering problems leading to workable solutions.
• Develop an understanding of emerging technical issues and apply that knowledge to optimise in-house flows and methodologies.

Essential skills:

• A Degree in Electronic/Electrical Engineering, Computer Science or related subject with 3+ years of Industry experience.
• Highly motivated, a self-starter, and a team player.
• Excellent problem-solving skills for debugging issues seen and finding root causes.
• Ability to program/script (required to solve design issues, typically in Tcl and Python).
• Experience in 7nm or smaller technologies.
• Good breadth of experience with physical design flows including floorplanning/budgeting, synthesis, place and route, clock CTS, logical equivalence, timing analysis, and physical verification (DRC/LVS/ERC).

Desirable skills:

• In-depth expertise in one or more aspects of physical design flows.
• Structuring of builds to maximise PPA.
• Silicon transistor knowledge including std cell libraries and/or memories.
• 2D and 3D design (CoWoS, UCIe etc.).
• High speed, high power and/or full reticle chip design.
• Ethernet, PCIe, LPDDR, HBM interfaces.
• Power integrity and optimization.
• 2nm or 3nm technologies.
• Chip finishing (pad rings, chip level LVS/DRC/ERC).
• Design for test.
• Team management.
• Project Planning.

In addition to a competitive salary, Graphcore offers a competitive benefits package.

Job Data by YubHub.