Careers at Graphcore

About us 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. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. About the Role We are looking for Staff System Software Engineer in Test to join our team. In this role, you will be responsible for design, development, automation and reporting of Integration and system tests spanning across firmware and device drivers. This role requires you to have significant technical breadth and deep understanding of low-level system software specifically in server class systems. You will be part of a new team responsible for integration of different system software deliverables and development of system tests spanning all the components. You will contribute to shaping the test strategy , guide best practices and solve complex problems while maintaining a strong hands-on focus. You will partner with development and other QA teams to deliver high quality scalable and reliable solutions. The team and culture You will join a new integration and system test team within System Software QA. The team verifies integrated components across BMC, firmware and Linux device drivers. Work happens close to the hardware, across component teams and QA. You will partner with developers, consult package stakeholders and turn use cases into robust system tests. Decisions are shaped by evidence, clear technical reasoning and ownership. You will be expected to speak up, act fast and raise standards through hands-on leadership. What we’re looking for 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. Responsibilities & Duties : Technical leadership for test features – Ownership of multiple features Infrastructure ownership Test Strategy Design and development of tests specifically for complex multi component areas achieving close to 100% coverage Knowledge of overall functionality Ability to understand complex features and design and implement test plans with minimum guidance. Bug triaging and debugging Debug bugs found in tests (self or help others) to narrow it down to RC. Review and improve code, test design and implementation processes. Perform code review for teammates as well as developers Improve ‘ways of working’ by ensuring team follows standard practices. Collaborate with HW and Software teams to understand use-cases, create and implement test plans to meet requirements across the stack Integration tests for other components on the board Acceptance tests for stakeholders Communicate complex technical concepts to experts and non-experts Demonstrate knowledge of your domain Contribute to validation framework, CI/CD, Automation and packaging. Lead/contribute to design decisions Drive RCCA Work with developers to reduce mean time between failures for externally reported bugs Add missing test coverage Mentor Jr members Technical expert on domain Ensure best practices are followed Raise quality and coding standards, best practices by setting an example Ensure and improve code quality Ensure and improve best practices Contribute to improving team culture 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.

About us 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. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. About the Role We are looking for Senior and Staff System Software Engineers in Test to join our team. In this role, you will be responsible for design, development, automation and reporting of Integration and system tests spanning across firmware and device drivers. This role requires you to have significant technical breadth and deep understanding of low-level system software specifically in server class systems. You will be part of a new team responsible for integration of different system software deliverables and development of system tests spanning all the components. You will contribute to shaping the test strategy , guide best practices and solve complex problems while maintaining a strong hands-on focus. You will partner with development and other QA teams to deliver high quality scalable and reliable solutions. About the Team Integration and system test team is responsible for verification and validation of integrated components across Board management controller (BMC), Firmware and Linux device driver. The team is also responsible for management and maintenance of common tools and pipelines used across the system software organization. Responsibilities and Duties Design and Development · Act as a technical authority for designing test infrastructure and features. · Design, Implement, Execute and report on high quality tests to ensure team has a high-quality gate for the system software release package. · Develop re-usable 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 the 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 the 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 the 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.

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and systems infrastructure designed to support the next generation of AI systems and expand the practical use of AI across industries. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together hardware, software, systems, and AI expertise to solve complex engineering problems across the computing stack. The Opportunity As Principal Test Framework Software Engineer, you will define and evolve the software architecture used to qualify and validate Graphcore's AI hardware platforms. 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. What You Will Do 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. What You Will Bring 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 These qualifications are helpful, not required. We encourage you to apply even if you do not meet every preferred qualification. 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. United States Benefits Overview Graphcore offers 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. Benefits vary by work location, employment status, scheduled hours, and plan eligibility and are subject to the terms of the applicable plans and company policies. This overview is not a contract or guarantee of benefits. Equal Opportunity and Accommodations Graphcore is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, veteran status, or any other status protected by applicable law. Graphcore is committed to an inclusive and accessible hiring process. If you need a reasonable accommodation to participate in the application or interview process, please let the recruiting team know. Candidate Privacy Personal information submitted during the recruiting process will be handled in accordance with Graphcore's applicable candidate privacy notices.

About the job As a Senior Software Engineer, you’ll develop, maintain and release the C++ libraries and runtime APIs that engineers use to build and execute workloads on Graphcore’s AI hardware. Your work will focus on developer-facing libraries, runtime components or a combination of both. You’ll design clear abstractions for low-level hardware capabilities, improve reliability and performance, and support developers integrating these libraries into the wider software stack. You will take ownership of library changes from design and implementation through review, integration, release and ongoing maintenance. Deliver dependable library releases through packaging, dependency validation, release notes and the maintenance fixes developers need. You’ll write API documentation, usage examples and migration guidance to help developers adopt changes confidently. Work with library users across the software stack to understand requirements, resolve integration issues and guide API improvements. The team and culture The AI Compute Libraries team develops high-performance compute libraries and the software infrastructure that helps engineers make effective use of Graphcore’s AI hardware. You’ll work alongside specialists in accelerator software, runtime systems and performance engineering. Together, you’ll turn hardware capabilities and developer requirements into practical, well-tested APIs, with clear documentation and dependable releases. What we’re looking for Essential skills: Strong modern C++ skills and a commitment to producing reliable, maintainable code. The ability to turn complex, low-level concepts into clear APIs and abstractions. Strong debugging and automated testing skills, including diagnosing issues in existing codebases. Confidence owning substantial engineering tasks independently and working effectively across teams. Clear written and spoken communication, with a willingness to share knowledge and support colleagues. Desirable experience: Experience with hardware accelerators, heterogeneous computing or architecture-specific software. Experience with embedded DSLs, graph representations, descriptor generation or compiler infrastructure. Familiarity with CMake, C++ library packaging, API/ABI compatibility, versioning or dependency management. Experience integrating C++ libraries with Python or ML frameworks such as PyTorch. Experience improving release automation, compatibility testing or developer tooling. 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, cycle to work scheme and dental cover We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at Graphcore 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. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Ready to shape the libraries developers use to build and run accelerator workloads? Apply to join Graphcore’s AI Compute Libraries team in Bristol.

About Graphcore How often do you get the chance to build a technology that transforms the future of humanity? Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies. Job Summary We are seeking an experienced Site Reliability Engineering leader to build and lead a new SRE organization responsible for the production operation of a rapidly scaling AI supercomputing platform. The environment combines highly customized compute, high-performance networking, storage and supporting infrastructure, and will grow through multiple phases of deployment. This is a rare opportunity to establish the reliability function for a new platform from the ground up. The platform and its operational model are being developed in parallel and will ultimately support a 24x7x365 production service with stringent availability requirements. You will take the SRE organization from initial formation through production launch, stabilization and scale. This includes hiring and developing the team, defining the operating model, establishing production readiness and incident-management practices, and ensuring reliability and operability are engineered into the platform from the outset. SRE is responsible for the operational capability required to run the platform reliably in production, while partnering with engineering teams that remain accountable for the reliability and operability of the systems they build. This is not a purely managerial position. During the development and early production phases, the SRE Manager will be expected to work directly with engineering teams, develop a deep understanding of the platform, and participate in troubleshooting and incident response. Over time, success will increasingly mean building the people, processes, automation, tooling, and operational discipline that allow the organization to operate effectively without depending on you for day-to-day escalation. Responsibilities and Duties Build the SRE Organization: Build and develop the team from its initial formation through full 24x7x365 production operations, including defining roles, interviewing and hiring team members, establishing career expectations, and developing future technical leaders. 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 from initial deployment through full production scale. Establish the Production Operating Model: Define the operating model for an SRE organization, including staffing and coverage model, escalation paths, on-call responsibilities, incident management, handoffs, production access, change management, and operational readiness requirements. Establish clear operational interfaces with Datacenter Operations, engineering teams, vendors, and other service owners. Establish and continuously improve production readiness standards, runbooks, operational procedures, failure-mode documentation, escalation processes, and incident response practices with a strong emphasis on automation and engineering over manual operational work. Develop training, cross-training, simulation, and production incident-response exercises to ensure the team can operate independently and confidently. Engineer Reliability Into the Platform: Embed with platform engineering teams during development to gain deep technical knowledge of the system and ensure reliability, serviceability, observability, and operational requirements are incorporated into the platform before production. Lead the development of SLOs, operational health indicators, alerting standards, incident severity definitions, and reliability reporting appropriate for a large-scale production infrastructure service. Build a culture in which recurring operational problems are engineered out through automation, improved observability, better platform design, and elimination of unnecessary toil. Ensure the SRE organization can rapidly diagnose and mitigate issues across compute, networking, storage, and supporting infrastructure. Develop strong technical depth within the team while maintaining access to specialist expertise in critical areas such as high-performance networking, storage, observability, and platform scheduling. Lead Production Operations: Lead or participate in major production incidents as necessary, particularly during platform development, launch, and early production. Establish a blameless post-incident review process focused on identifying systemic improvements and ensuring corrective actions are completed. Serve as the senior operational authority for the SRE organization and represent production reliability concerns in engineering and leadership discussions. Required Skills and Experience Significant experience leading or building an SRE, Production Engineering, Infrastructure Reliability, or comparable function supporting large-scale, highly available production infrastructure. Experience taking a new or rapidly evolving platform through production readiness, launch, stabilization, and ongoing operation. Experience building and operating sustainable 24x7x365 production support or on-call organizations. Strong understanding of modern Site Reliability Engineering principles, including SLOs, incident management, observability, automation, toil reduction, capacity management, and production readiness. Strong incident leadership experience, including managing high-severity, multi-team production incidents under significant time pressure. 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, moving comfortably between organizational design, architecture discussions, troubleshooting, and incident response. Demonstrated ability to lead, hire, mentor, develop, and retain a growing team of strong technical engineers at various levels of capability Strong judgment regarding when to solve an immediate operational problem and when to invest in eliminating the underlying failure mode. Strong written and verbal communication skills, particularly during incidents and when communicating technical risk to senior leadership. Ability to manage conflicting priorities under a pressured environment Desired but Not Required Candidates are not expected to have experience in all the areas below. Experience in several would be particularly valuable: High-performance networking technologies such as InfiniBand, RDMA, RoCE, or large-scale Ethernet fabrics. Large-scale parallel or distributed storage systems. Workload schedulers and orchestration platforms such as Kubernetes, Slurm, or comparable systems. Production observability and service-level monitoring for complex distributed infrastructure. Custom or early-generation hardware, firmware, or environments where hardware and software are developed concurrently. Operational relationships and escalation processes involving datacenter operations and infrastructure/hardware/networking vendors. Rapid capacity expansion, datacenter migration, or transitions between temporary and permanent production 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, with leadership escalation reserved for genuinely exceptional events. 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). 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.

Location: Bristol, UK Salary: £45,000 per annum Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you’ll be trusted to take ownership, share your ideas and help shape what we’re creating. You’ll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you’ll work on Put your programming skills to work on the firmware that helps Graphcore products start up, communicate and run reliably. As a Graduate Firmware Engineer, you’ll help design, develop and deliver firmware for Graphcore’s next generation products. Working closely with our silicon and hardware teams, you’ll contribute to software that supports hardware bootup, power control, telemetry and monitoring. You’ll write firmware to Graphcore standards, review code, contribute to technical discussions and help investigate issues. You’ll also work with continuous integration, build systems and Agile practices. Your team and support The Firmware team develops the software that powers Graphcore hardware and silicon. We are involved in the design of hardware and software interfaces. You’ll work with engineers across teams through technical design discussions, code reviews, Agile ceremonies, and practical problem solving. Technical evidence and open discussion guide our decisions, with shared responsibility for product quality. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when you spot a problem or need support. From day one you’ll contribute your ideas and help colleagues investigate firmware issues. How you’ll learn and grow During the two-year programme, you’ll build your understanding of how embedded software enables complex hardware systems through hands-on firmware development. Work on bootup, power management protocols, telemetry and monitoring, writing the code that manages how our hardware behaves. Investigating issues will build your problem-solving skills, while continuous integration and build systems will show you how firmware is checked and prepared for delivery. Code reviews and technical discussions with engineers across teams will help you develop your engineering judgement, explain your approach and learn how firmware fits into the wider system. What we're looking for Bachelor’s/Master’s degree in Computer Science, Electronic Engineering, Maths or a related field Introductory experience with C or Python An understanding of continuous integration, build systems and software packaging best practices An interest in real-time embedded software, verification or complex embedded platforms Curiosity about server architecture, device drivers, operating system kernel development or server firmware security Bring a willingness to learn, ask questions and contribute to technical discussions with colleagues across teams You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Firmware Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.

Location: Bristol, UK Salary: £45,000 per annum Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you’ll be trusted to take ownership, share your ideas and help shape what we’re creating. You’ll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you’ll work on Put your technical foundations to work on the cloud platforms that help demanding AI workloads run at scale. As a Graduate Cloud Platform Engineer, you’ll help develop, deploy and operate services across Graphcore’s high-performance AI infrastructure. Your work will support the systems used by internal teams and Graphcore cloud customers. We believe technology should expand human potential and make progress more accessible. You’ll write automation, investigate issues, analyse logs and metrics, and help validate AI hardware and the infrastructure around it. It’s a chance to see how Linux, networking, storage and cloud services fit together and contribute to the platforms that make large-scale AI possible. How you’ll learn and grow During the two-year programme, you’ll build practical experience in Linux, cloud technologies, networking, storage, observability, OpenStack , Kubernetes, continuous integration and delivery (CI/CD), and Infrastructure-as-Code. Hands-on automation and troubleshooting will help you understand how these systems fit together and develop a methodical approach to investigating issues. You’ll learn to use logs and metrics to test your thinking and explain what you find. Working with engineers, researchers and Datacentre Operations will help you understand how platform decisions affect the people using these services and develop your technical judgement and communication skills. What we’re looking for A bachelor’s degree in Computer Science, Software Engineering, IT, Electronic Engineering or a related subject, completed by summer 2027 or within the two years before the programme starts Practical experience using the Linux command line, with scripting or programming skills such as Python or Bash Familiarity with Git or another version-control system, with a clear approach to documentation and code review A methodical approach to troubleshooting and the ability to communicate your findings and work with others You’ll be curious about cloud infrastructure, platform engineering or computer systems, with an interest in areas such as networking, storage, containers or observability. You can demonstrate these skills through coursework, a dissertation, personal or team projects, open-source work, placements or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Cloud Platform Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next.

About us 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. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore fosters continuous learning and innovation. Job Summary Reporting into the Systems Engineering organisation, the Distinguished Engineer, End-to-End Security Architect will define and lead the security architecture for Graphcore’s inference service platform. This role is responsible for establishing a comprehensive security strategy spanning platform, infrastructure, networking, service operations, customer assurance, and compliance readiness. Working across multiple engineering and operational functions, the successful candidate will provide technical leadership, drive security requirements, and ensure the platform delivers robust protection, resilience, and trust for customers. The Team You will work closely with teams across security architecture, infrastructure engineering, networking, site reliability engineering, platform software, firmware, data centre operations, compliance, legal, customer engineering, and customer security. The team collaborates across the business to deliver secure, reliable, and scalable AI infrastructure and services while supporting customer assurance, regulatory requirements, and operational excellence. Responsibilities and Duties Own the end-to-end security architecture for the inference service platform, covering infrastructure, networking, APIs, operational controls, monitoring, and customer assurance. Define security principles, threat models, trust boundaries, tenant isolation requirements, and architectural standards for the service. Establish security requirements for deployment environments, including physical security, operational controls, access management, and asset protection. Define platform security requirements across hardware, firmware, secure boot, attestation, software integrity, and lifecycle management. Lead the design of network and service isolation controls, secure communications, segmentation strategies, and administrative access protections. Own security architecture for authentication, authorisation, secrets management, encryption, key management, and data protection controls. Define privileged access management approaches, audit requirements, access review processes, and emergency access procedures. Establish logging, monitoring, telemetry, incident response, and security assurance requirements across the service lifecycle. Partner with engineering and operations teams to ensure security requirements are effectively implemented, maintained, and validated. Assess security posture against customer, contractual, regulatory, and internal requirements, managing risk-based decisions where required. Support customer security reviews, audits, penetration testing activities, security questionnaires, and technical assurance discussions. Provide technical leadership, architectural guidance, mentoring, and design review expertise across multiple teams and disciplines. Candidate Profile Essential Advanced degree in Computer Science, Computer Engineering, Cybersecurity, Electrical Engineering, or a related technical discipline, or equivalent practical experience. Significant experience in security architecture, platform security, cloud security, infrastructure security, or large-scale service security. Demonstrated experience defining and owning security architecture for customer-facing platforms, infrastructure services, or large-scale production environments. Deep understanding of threat modelling, zero-trust principles, tenant isolation, privileged access management, cryptographic controls, and secure operations. Strong knowledge of platform security technologies including trusted execution mechanisms, secure boot, attestation, firmware integrity, and supply-chain security concepts. Experience defining security requirements for data centre deployments, operational environments, and physical security controls. Expertise in network security architecture, segmentation, management-plane protection, secure communications, monitoring, and access control. Experience with key management, secrets management, certificate lifecycle management, and encryption technologies. Experience securing APIs, deployment pipelines, service control planes, and operational tooling. Strong understanding of logging, monitoring, incident response, security operations, and evidence management practices. Experience supporting customer security reviews, audits, penetration testing activities, and executive-level security discussions. Excellent communication and stakeholder management skills, with the ability to influence technical and non-technical audiences. Proven ability to lead through influence across engineering, security, operations, compliance, and customer-facing teams. Desirable Experience securing AI/ML inference platforms, model-serving infrastructure, accelerator-based systems, or confidential AI workloads. Experience with trusted execution environments, platform attestation technologies, secure firmware development, and workload identity solutions. Experience with confidential computing, secure enclaves, measured boot technologies, and remote attestation. Experience supporting highly regulated environments, critical infrastructure, or security-sensitive customer deployments. Familiarity with industry security and compliance frameworks such as SOC 2, ISO 27001, ISO 27017, ISO 27018, PCI DSS, FedRAMP, or NIST standards. Knowledge of hardware platform security, high-performance networking, storage security, and accelerator ecosystem technologies. Experience with supply-chain risk management, secure manufacturing practices, asset lifecycle controls, and secure disposal processes. Understanding of emerging cryptographic technologies and future security trends. Experience working with hyperscalers, enterprise customers, AI organisations, or managed infrastructure providers. In addition to a comprehensive benefits package, Graphcore offers flexible working arrangements 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). We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment where everyone can thrive. We offer an equal opportunity recruitment process and can provide a flexible approach to interviews. Please let us know if you require any reasonable adjustments.

Location: Bristol, UK Salary: £45,000 per annum Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you’ll be trusted to take ownership, share your ideas and help shape what we’re creating. You’ll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you’ll work on Put your C++ skills to work modelling future AI accelerators before they exist and help shape how Graphcore engineers design them. As a Graduate Software Engineer in Accelerator Modelling, you’ll develop, test and refine models and simulations for the next-generation AI accelerators. Your work will help predict performance, power consumption and scalability, giving engineers evidence to compare approaches before hardware decisions are made. You’ll investigate how complex workloads behave, contribute to planning, design, implementation and testing, and help other teams integrate future hardware versions. You’ll also help scale distributed modelling environments. It’s a chance to see how software models connect architectural ideas with future hardware. Your team and Support The Accelerator Modelling Team works across architecture, hardware and software. You'll be working in a small team, team lead and all senior members would support you with every step on your way. Modelling team faces a lot of the unknowns and challenging problems at the cutting edge of AI technology. There’s a buddy system in place, so you will always have a point of contact , ready to answer all questions or help with anything. Decisions are driven by evidence from the models and clear engineering judgement. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. How you’ll learn and grow During the two-year programme, you’ll build practical experience in C++ development, hardware simulation and performance modelling, building skills close to architecture, software and hardware design. Developing and debugging modelling code will help you understand how complex workloads behave and how to test whether a model captures that behaviour. Reviews and feedback will help you develop your engineering judgement and explain the trade-offs you find. Working with architects, engineers and machine learning researchers will show you how modelling results inform hardware decisions and how your work connects to the wider computing system. What we're looking f or Bachelor’s/ Master’s degree, or equivalent experience, in Computer Science, Maths, Machine Learning, Data Science or a related field Strong C++ programming skills, gained through study, projects, personal coding or practical experience An understanding of computer science fundamentals and an interest in lower-level software The ability to debug complex problems and explain your thinking clearly, with exposure to debugging tools, performance analysis, testing, version control or collaborative software development practices C uriosity about processor architecture, hardware simulation, performance modelling or systems behaviour, and a willingness to ask questions and learn through feedback You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role in Accelerator Modelling, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next .

Location: Bristol, UK Duration: 12 weeks Salary : £2500 per month Start date: June 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Internship Programme at Graphcore 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. What you’ll work on Put your programming skills to work exploring how firmware brings AI hardware to life, from first boot to system monitoring. As a Firmware Engineering Intern, you’ll contribute to firmware for Graphcore’s next-generation products. Working closely to with our silicon and hardware teams, you’ll contribute to software that supports hardware bootup and provides telemetry and monitoring data that helps data centre operators understand what the hardware is doing. Your tasks could include writing code, develop unit tests and investigate behaviour on hardware using logs, oscilloscopes and logic analysers. You’ll contribute to a shared codebase and see how software decisions affect physical systems. Your team and support The Firmware team sits within System Software and works with teams across Graphcore and our partners. You’ll report to the Firmware Manager and work alongside engineers connecting silicon, hardware and software. Technical discussions, code reviews and Agile working practices will help you understand design decisions and how the team coordinates its work. You can ask for help as you learn the codebase, explain your thinking and use feedback to improve your work. Decisions are shaped by technical discussion and investigation. As an intern, you’ll be encouraged to ask questions, raise issues early and share what you learn, with support from experienced engineers as you try out different approaches. How you’ll learn and grow Over the 12 weeks, you’ll build practical experience in firmware development, unit testing and debugging through the work your tasks focus on. Investigating issues on real hardware will help you connect software behaviour with physical signals and develop a methodical approach to finding problems. Code reviews will introduce you to shared development and coding standards and help you build confidence contributing to a team codebase, giving you a clearer view of a career in embedded software. Your internship is a chance to explore a future at Graphcore. Depending on your performance and the roles available, there may be an opportunity to join one of our graduate programmes once you’ve graduated. What we’re looking for Currently studying towards a bachelor’s or master’s degree or PhD in Computer Science, Electronic Engineering, Maths or a related field. Equivalent experience is also welcome Introductory programming experience in C or Python, with some understanding of continuous integration, build systems and software packaging best practices A practical, methodical approach to problem solving, with the ability to organise your work and follow tasks through to completion Clear written and verbal communication, including the ability to document complex system designs coherently Previous industry experience is not required. Tell us what you built or investigated through coursework, personal or team projects, research or other relevant experience, how you approached it and what you learned. 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 We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. . Introduction to Graphcore At Graphcore, we’re building next generation AI compute: From semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. An internship at Graphcore gives you the chance to explore where your interests and skills could take you. You’ll work alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. Together, you’ll share ideas and solve challenging problems, building experience and confidence to help you decide what comes next. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Curious about where your skills could take you? Apply for a summer internship at Graphcore and help us build what comes next.