This senior role focuses on strengthening the quality engineering foundation for our SDK by developing robust automation, scalable CI/CD systems, and effective test strategies. You will work closely with cross-functional partners to enhance test coverage, improve workflows, and ensure reliable delivery across multiple platforms. The role requires strong technical depth, collaborative working, and the ability to drive meaningful impact quickly.

What you’ll be doing

• Designing, implementing, and maintaining CI/CD pipelines to support build, test, and release workflows.
• Developing automation and tooling in Python to streamline test orchestration and system validation.
• Creating and running automated tests across unit, integration, and system layers.
• Debugging and diagnosing issues across build, test, and deployment environments.
• Supporting Linux and Windows development environments and contributing to cross-platform scripting.
• Applying modern test frameworks and quality metrics to improve test strategy and reporting.
• Collaborating closely with multiple SDK teams to align on shared initiatives.
• Participating in rotational assignments to deepen domain expertise and broaden cross-project knowledge.
• Coordinating with teams across London, Bristol, and Dublin, including occasional travel as needed.
• Mentoring peers, sharing best practices, and influencing quality engineering approaches.

What we are looking for

• Experience building and maintaining CI/CD pipelines (Jenkins/Groovy or equivalent).
• Strong Python 3 skills for automation, tooling, and test orchestration.
• Experience developing and executing automated tests at multiple levels.
• Fluency with Linux and Windows development environments.
• Proficiency with scripting languages such as python, bash, or PowerShell.
• Ability to diagnose and resolve issues across complex build and test systems.
• Familiarity with test frameworks such as pytest, GTest, or similar.
• Understanding of software quality metrics, reporting, and test strategy.
• Experience or awareness in one or more additional areas: C/C++, CMake, C#, Rust, .NET, Docker, Kubernetes, VM orchestration, graphics APIs, AIML/MLOps, or desktop app testing.
• Strong communication and collaboration skills, with the ability to work effectively across distributed teams and represent quality engineering perspectives.

Join us and be a member of the team that tests the development tools used to create every PlayStation® game. This is a great opportunity to continue a career in Software Testing, working on industry leading development tools and being mentored by experts in their field. 

What you’ll be doing 

• Developing tests for new applications, new features and regressions. 
• Developing test strategies with application teams. 
• Automating tests as part of our continuous integration systems. 
• Investigating issues and creating reproducible test cases. 
• Conducting manual, exploratory testing. 
• Reporting test results clearly (including performance and coverage). 
• Developing tooling to help reduce test time and ease test execution. 
• Make suggestions and recommendations for improvements to help shape the finished product. 
• Collaborate with global, cross-functional teams in a multicultural environment to develop organisation-wide test strategies and infrastructure. 
• Mentoring peers, sharing best practices, and influencing quality engineering approaches. 

What we are looking for 

• 5+ years experience in developing tests for software applications. 
• Experience of automating tests. 
• A good understanding of software testing techniques. 
• Good C# programming skills. 
• Understanding of C++. 
• Experience in triaging bugs and creating reproducible tests. 
• Experience with software build tools, issue tracking and source control systems. 

Nice to have 

• Experience of Microsoft Windows applications. 
• Experience of Microsoft Visual Studio. 
• Experience of using Selenium/Appium. 
• Experience using Powershell and Python. 
• Experience of testing development tools. 
• Experience of testing on Linux & Mac. 

We anticipate that suitable candidates will demonstrate the following personal attributes 

• Proactive work ethic, with a passion for software quality and a positive customer experience. 
• The ability to gain the respect of, and work successfully with others, regardless of reporting line. 
• Influencing and persuasion skills. 
• Strong written and verbal communication skills. 
• Is thorough, patient, and works calmly under pressure. 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are seeking a Senior Virtualisation Engineer to manage our corporate and engineering virtualisation platforms. These platforms support core services like Active Directory, DNS, source-control systems, and Kubernetes clusters. You will ensure the reliability, performance, and lifecycle management of our VM and container platforms. 

A key part of this role involves owning and managing our VDI environment for high-performance EDA CAD workloads. Experience with Omnissa Horizon or a similar virtual desktop platform is required. You will also manage the VM fleet daily, including provisioning, automation, patching, incident response, and optimization. Experience with VMware Tanzu or other Kubernetes orchestration platforms is highly valued. A strong automation approach is important to streamline deployment and simplify operations.

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you’re looking to solve interesting problems and see your work deliver real-world results, this is the team for you! 

Responsibilities and Duties

• Manage and maintain the corporate virtualisation platforms supporting core services.
• Run, track, and improve Kubernetes platforms (VMware Tanzu or alternatives).
• Manage the VDI environment used for EDA CAD workloads (Omnissa Horizon or similar).
• Carry out lifecycle tasks throughout the VM fleet, including provisioning, patching, and fault resolution.
• Automate deployment and operational processes (Ansible, Terraform, PowerCLI, Python, etc.).
• Automation of CI/CD based image/template creation to generate known secure images.
• Implement monitoring, capacity planning, and performance optimisation for hypervisors and virtual workloads.
• Diagnose intricate problems spanning virtualisation, network, and storage domains.
• Work with vendors on upgrades, support cases, and platform evaluations.

Candidate Profile

Essential:

• 5+ years experience coordinating enterprise virtualisation platforms.
• Strong hands-on experience with VMware vSphere/ESXi or equivalent.
• Experience handling VDI deployments at scale (Omnissa Horizon or VMware Horizon preferred).
• Experience managing core infrastructure (AD, DNS, SCM) in virtualised environments.
• Proficient in automation tools and scripting languages such as Ansible, Terraform, PowerCLI, Python, and others.
• Strong problem-solving abilities across compute, network, and storage.
• Experience with patching, upgrades, and capacity planning.
• Strong understanding of security architecture, hardening practices, and risk mitigation within virtualised environments.

Desirable:

• Experience supporting semiconductor or HPC/EDA environments.
• Familiarity with GPU-accelerated VDI or compute workloads.
• Knowledge of observability tools (Prometheus, Grafana, Splunk).
• Understanding of high-performance networking (10/25/40/100GbE, RDMA, etc.).
• Experience with crafting sandbox environments for security and DR testing work, for example.
• Understanding of Kubernetes platforms (Tanzu, OpenShift, Rancher, etc.).
• Worked with third-party hyper-converged VMware platforms such as SimpliVity.

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.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Lead Lab Support Engineer at Graphcore, you will serve as the technical lead providing IT support to Engineering Labs and Silicon development projects. This includes bring-ups and testing in hybrid Linux and Windows environments. You will deliver reliable, scalable, and high-quality services to internal customers, partners, and collaborators. You will also lead a small team of Lab Support Engineers and encourage a culture of accountability, collaboration, and continuous improvement. 

Working alongside Project Managers, engineering teams, and interested parties, you will build and deploy scalable workflows. You must ensure IT support for Engineering Labs keeps pace with the organisation’s evolving requirements. At first, this role requires direct involvement in daily support, configuration, and onboarding activities while forming the Lab Support team and setting up scalable processes.

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you. 

Responsibilities and Duties

• Logging and solving support requests face-to-face & via ticketing system
• Ensure high-quality L1 & L2 support through effective triage, prioritization, and allocation of tickets
• Establish, manage, and consistently refine the Lab Support service, covering standards, processes, and governance
• Serve as the primary point of escalation and decision-making for IT service delivery
• Handling and providing support for Linux-based systems
• Handling and maintaining Windows-based systems
• Managing a fleet of servers, helping Hardware Lab teams with daily activities, tools and packages installation, platform configuration via Configuration Management systems
• Installing and troubleshooting servers, hardware maintenance, fault finding
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base.

Essential

• Excellent communication and customer service skills
• Good understanding of troubleshooting principles and methodical problem-solving
• Strong Linux administration skills in Debian & RedHat derivatives
• Good Windows administration skills, Active Directory domain joining, policies
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, subnetting
• Familiarity with desktop and server hardware, BMCs, Out-of-Band networks, firmware & BIOS upgrades, PDU, rack mounts
• Managing Infrastructure-as-Code using Puppet, Ansible, or similar via Git
• Understanding of authentication services such as LDAP, Radius

Desirable

• Experience in managing web servers, load-balancers, reverse-proxies (e.g.: ha-proxy, nginx)
• Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads.
• Experience with various monitoring solutions and stack (e.g. Zabbix/Prometheus/Grafana Mimir/Open Telemetry)
• Proficiency with containerisation frameworks and orchestration (e.g.: Docker/containerd/Kubernetes).
• Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications
• CI/CD pipelines via GitLab/GitHub

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.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are looking for a highly experienced Lead Engineer Support Linux Engineer to guide and develop a small group supporting engineering systems in a fast-paced AI-centered environment. 

The position requires strong Linux skills combined with leadership, automation, and DevOps approaches to maintain systems that are reliable, scalable, and easy to support at scale. An important responsibility is developing and managing a configuration-as-code environment. In this setup, system configuration and operations are handled through automation, pipelines, and source control rather than manual intervention. 

You will be responsible for leading incident response, driving operational improvements, and setting standards for how Linux systems are managed and supported across the organization.

While the role includes leadership responsibilities, it will initially require a hands-on approach, including direct involvement in troubleshooting, system support, and automation efforts, while building team capability and scaling processes.

Collaborating intimately with engineering groups, platform engineers, and infrastructure experts, you will guarantee systems stay stable, efficient, and consistent with changing business and product delivery requirements. 

The Team

You’ll be joining a multi-disciplinary team with strong technical skills and a very supportive culture. We work closely together, regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you!

Responsibilities and Duties

• Guide, mentor, and cultivate a team of Linux Engineering Support Engineers, defining clear roles, responsibilities, and methods of collaboration
• Own and oversee support for Linux-based systems and engineering environments, ensuring stability, performance, and availability
• Act as a point of contact for complex technical issues and outages, providing hands-on support when a customer concern arises
• Diagnose and resolve high-impact system and interoperability issues across mixed and distributed environments
• Perform hands-on investigation and troubleshooting to understand issues and drive effective solutions
• Direct incident response efforts, encompassing triage, coordination, and resolution
• Take responsibility for and lead Root Cause Analysis (RCA) processes, ensuring preventative improvements are identified and applied
• Establish and improve incident management processes, driving operational maturity and reliability
• Drive adoption of automation and configuration-as-code practices across Linux systems
• Ensure system changes are delivered through controlled, auditable processes wherever possible
• Oversee development and implementation of automation solutions for system management and operational tasks
• Promote and support use of workflows based on Git and CI/CD pipelines for configuration and operational processes
• Identify and prioritize opportunities to reduce manual effort through automation and improved tooling
• Collaborate with engineering teams to assist development environments and system requirements
• Act as a senior technical liaison between engineering teams and infrastructure/platform functions
• Support onboarding of new systems, services, and environments using standardized and automated approaches
• Ensure system configurations stay consistent and aligned with established standards and governance
• Oversee integration points (e.g. identity, CI/CD, tooling) and ensure issues are resolved effectively
• Identify and drive improvements in system performance, scalability, and maintainability
• Contribute to and enforce documentation, standards, and operational guidelines
• Ensure systems meet audit, compliance, and governance requirements, with full traceability of changes

Candidate Profile

Essential

• Extensive experience managing and maintaining Linux-based systems in complex technical or engineering environments
• Strong troubleshooting skills across operating systems, networking, storage, and application layers
• Demonstrated ability to identify and solve intricate technical problems, including within diverse or distributed settings
• Demonstrated experience managing significant incidents and outages, including directing resolution efforts and participating in Root Cause Analysis (RCA)
• Extensive background in automation and scripting (e.g., Bash, Python, or similar)
• Extensive background in configuration management or infrastructure-as-code tools (e.g., Ansible, Terraform, Puppet, or similar)
• Experience working with configuration-as-code practices and workflows managed through Git
• Experience building, managing, or assisting with CI/CD pipelines for configuration and operational processes
• Strong understanding of system interoperability across distributed environments
• Experience working within defined standards, governance frameworks, and controlled processes
• Strong communication skills and ability to collaborate closely with engineering, platform, and infrastructure teams
• Experience mentoring or supporting the development of other engineers
• Capability to work efficiently across different time zones within a dispersed organization
• Demonstrated capability to work autonomously, establish goals, and achieve results

Desirable

• Experience managing or coordinating incident response activities
• Experience working alongside DevOps, platform, or infrastructure engineering teams
• Experience with monitoring, observability, and logging systems
• Experience supporting AI/ML or high-performance computing environments
• Understanding of identity and access management concepts
• Experience building or scaling operational processes or support functions
• Experience managing and maintaining Linux-based systems in a technical or engineering environment

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.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Lab Support Engineer at Graphcore, you’ll play a key role in keeping our people and systems running efficiently. You’ll provide day-to-day support to internal customers and external collaborators in on-prem Hardware Labs and Silicon development projects in hybrid Linux & Windows environments. You will help colleagues resolve issues quickly while maintaining a strong focus on security and following established guidelines. 

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you.

Responsibilities and Duties

• Logging and solving support requests face-to-face & via ticketing system, L1&L2 support
• Handling and maintaining Linux-based systems
• Handling and providing support for Windows-based systems
• Managing a fleet of servers, helping Hardware Lab teams with daily activities
• Installing and troubleshooting servers, hardware maintenance, fault finding
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base

Essential

• Excellent communication and customer service skills
• Good understanding of troubleshooting principles and methodical problem-solving
• Strong Linux administration skills in Debian & RedHat derivatives
• Good Windows administration skills
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, subnetting
• Familiarity with desktop and server hardware, BMCs, Out-of-Band networks, firmware & BIOS upgrades, PDU, rack mounts
• Managing Infrastructure-as-Code using Puppet, Ansible, or similar

Desirable

• Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads
• Experience with various monitoring solutions and stack (e.g. Zabbix/Prometheus/Grafana Mimir/Open Telemetry)
• Experience in managing web servers, load-balancers, reverse-proxies (e.g.: ha-proxy, nginx)
• Proficiency with containerisation frameworks and orchestration (e.g.: Docker/containerd/Kubernetes)
• Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications

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.

Bristol or London, 3 days in the office, 2 days WFH

At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We’re balanced across hardware and software engineering, and HW/SW co-design is real here. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it.

To validate behaviour, our functional simulator allows us to iterate at scale with real software before the hardware exists. It runs across multiple machines, supports large experiments, and helps verify the correctness of our low level firmware, runtime stack and compiler lowering.

You’ll be there for the first end-to-end runs against realistic device behaviour, the debugging sessions that unblock whole teams, and the moments where simulator fidelity turns into better software, better silicon decisions, and faster bring-up.

What you’ll do

• Build a functional simulator of Fractile’s AI accelerator hardware including a custom ISA
• Implement the device models and behaviours that matter for software correctness: MMIO, interrupts, DMA, memory behaviour, concurrency, and error paths
• Work closely with runtime, kernel, firmware and HW engineers to shape simulator interfaces
• Make it usable at scale: tracing, determinism/reproducibility, CI integration, and containerised workflows
• Collaborate daily with hardware, software, and ML engineers to validate assumptions and close gaps early

What we’re looking for

• Strong C and comfort working in large low-level codebases
• Good intuition and knowledge of low-level hardware behaviour: registers/MMIO, interrupts, memory ordering, concurrency, and failure modes
• You enjoy hard system-level problems, and you take them end-to-end until the results are measurable
• Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience

Nice to have

• You’ve built or extended hardware simulators or emulators.
• SystemC experience
• QEMU device model experience is ideal, even better in the TCG
• Docker and orchestration tooling (Kubernetes)
• Familiarity with RISC-V and x86 architectures
• Python experience useful

If you want to build the simulator that makes rack-scale software real before rack-scale hardware exists, come build it together.

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a highly skilled Senior/Principal Physical Design Engineer to contribute to our next-generation chip designs. As a Physical Design Engineer, you will be responsible for the end-to-end implementation of complex IC physical designs, from synthesis to sign-off, including opportunities for full-chip ownership. You will collaborate with cross-functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:

• Drive the physical implementation of ASIC/SoC designs, including floorplanning, placement, clock tree synthesis (CTS), routing, and sign-off, with potential responsibility for full-chip execution.
• Work on synthesis, timing analysis (STA), and optimisation to achieve the best PPA metrics.
• Perform power planning and analysis, addressing IR drop, electromigration, and low-power design techniques.
• Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
• Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical implementation.
• Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
• Interface with foundries and process engineers to ensure manufacturability and yield optimisation.
• Work closely with RTL and architecture teams to drive design feasibility, constraints, and physical-aware RTL design.
• Work with advanced AI tools and models to improve productivity, analysis, and design quality.

Preferred Qualifications:

• Bachelor’ Master’s or PhD in Electrical Engineering, Computer Engineering, or a related field.
• 7+ years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below).
• Strong proficiency in EDA tools for place & route, STA, and sign-off.
• Solid understanding of CMOS technology, semiconductor physics, and process limitations.
• Experience with low-power design methodologies, power optimisation techniques, and multi-power domain architectures.
• Expertise in timing closure, signal integrity, IR drop analysis, and formal verification.
• Proficiency in scripting languages like TCL, Perl, or Python for automation.
• Excellent problem-solving skills, communication, and teamwork in a collaborative design environment.
• Experience in high-performance computing (HPC), AI accelerators, or networking chips.
• Experience or strong interest in leveraging advanced AI tools and models within engineering workflows.

Fractile is building silicon, systems and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about this change, and we are growing fast to meet demand and deliver our product at scale.

We are seeking an experienced PCB Layout Engineer to deliver complex, high-speed and high-power PCB designs while also owning PCB library creation, validation, and ongoing management. This role plays a critical part in ensuring electrical performance, manufacturability, and long-term design quality across multiple products. The ideal candidate combines deep layout expertise with a strong understanding of component footprints, land patterns, and library governance best practices.

Key Responsibilities

PCB Layout & Design Execution

• Create PCB layouts for complex, multi-layer boards supporting high-speed digital and high-power circuits
• Own component placement, routing, and constraint implementation from concept through manufacturing release
• Collaborate closely with hardware designers to resolve layout-driven electrical and mechanical tradeoffs

High-Speed Signal Integrity

• Route high-speed interfaces such as DDR, PCIe, Ethernet, USB, and SerDes-based links
• Apply controlled impedance routing, differential pair tuning, length matching, and return-path management
• Implement SI-aware stack-ups and routing strategies to minimise crosstalk and signal loss

High-Power & Power Integrity

• Layout high-current power paths, including VRMs, DC-DC converters, and power planes
• Optimise copper distribution, plane structures, and via arrays for current handling and low impedance
• Support thermal performance through copper pours, stitching vias, and heatsink interface planning

PCB Library Creation & Management

• Create, validate, and maintain schematic symbols, PCB footprints, and 3D models
• Ensure land patterns meet IPC standards and supplier recommendations
• Own library quality, version control, naming conventions, and release processes
• Collaborate with engineering, manufacturing, and supply chain to ensure component accuracy and lifecycle readiness
• Drive continuous improvement of library standards and documentation

Collaboration & Reviews

• Participate in schematic reviews, layout design reviews, and SI/PI discussions
• Work with SI/PI engineers to implement simulation-driven layout constraints
• Support DFM/DFA reviews and interface directly with PCB fabricators and assemblers

Manufacturing & Debug Support

• Generate manufacturing deliverables (Gerbers, ODB++, IPC drawings, pick-and-place data)
• Support board bring-up and debug by implementing layout ECOs
• Resolve layout- and footprint-related manufacturing or assembly issues

Qualifications & Experience

• Diploma, Bachelor’s degree, or equivalent experience in Electronics, Electrical Engineering, or related field
• 7+ years of professional PCB layout experience
• Proven experience with high-speed digital and high-power PCB designs
• Hands-on experience creating and maintaining PCB libraries for production hardware

Technical Skills

PCB layout tools such as Siemens Xpedition, Altium Designer, Cadence Allegro, or equivalent

• Library creation and management workflows
• High-speed routing (DDR, PCIe, Ethernet, USB, SerDes)
• High-current and power integrity layout techniques
• Multi-layer PCB stack-ups (10+ layers preferred)

Skills & Competencies

• Exceptional attention to detail and design discipline
• Strong ownership mindset for design quality and library integrity
• Effective communicator across hardware, mechanical, and manufacturing teams
• Comfortable managing multiple designs and revisions in parallel

Preferred Experience (Nice to Have)

• Experience with SI/PI simulation-informed layouts
• Familiarity with EMI/EMC-aware layout practices
• Experience with HDI, fine-pitch BGAs, and advanced PCB technologies
• Experience with AI accelerator or HPC hardware

   How we work

• Ownership and execution: you will have full agency to drive your work forward
• Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines
• Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact
• Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there
• Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who’s it is

About us

• Founded in 2022, team of 70+ which is expanding rapidly
• Modern, open offices in London and Bristol
• Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency

Export control and security clearance

Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

Fractile is building silicon, systems and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about this change, and we are growing fast to meet demand and deliver our product at scale.

We are looking for a highly motivated and experienced RTL Design Engineer to join our dynamic team. In this role, you will play a key part in the design and implementation of digital systems, contributing to every stage of the project lifecycle. Your work will involve developing and optimising Register Transfer Level (RTL) designs for high-performance and power-efficient systems

RTL Development and Implementation:

• Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy.
• Implement complex design modules with a focus on performance, power, and area efficiency.
• Take ownership of design tasks, including planning, execution, and delivery of work packages.
• Define design tasks for the project, including partitioning, interface specifications, and module definitions.
• Collaborate with verification engineers to ensure functional correctness through simulation and formal verification.

Cross-Functional Collaboration:

• Work closely with physical design engineers, and verification teams to ensure seamless integration of the design.

Documentation and Standards Compliance:

• Document RTL design methodologies, module interfaces, and functional requirements.
• Ensure adherence to coding standards, best practices, and maintainability guidelines.

Qualifications and Skills:

Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.

Experience:

• 6+ years of experience in digital design, RTL development, or related roles.
• Proven expertise in developing RTL designs for high-performance systems.
• Familiarity with advanced digital design concepts, such as pipelining, clock-domain crossing, and power gating.
• Experience with high-speed or low-power design methodologies.

Soft Skills:

• Strong analytical and problem-solving skills.
• Effective communication and collaboration abilities in cross-functional teams.
• A detail-oriented approach with a focus on quality and efficiency.

How we work

• Ownership and execution: you will have full agency to drive your work forward
• Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines
• Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact
• Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there
• Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who’s it is

About us

• Founded in 2022, team of 70+ which is expanding rapidly
• Modern, open offices in London and Bristol
• Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency

Export control and security clearance

Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

Fractile is building silicon, systems and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about this change, and we are growing fast to meet demand and deliver our product at scale.

We are seeking a Hardware Electronics Design Engineer to design, develop, and validate high-speed and high-power electronic systems. This role involves schematic design, PCB development, signal and power integrity, and hands-on bring-up of complex hardware. The engineer will work closely with system, mechanical, firmware, and manufacturing teams to deliver reliable, high-performance products from concept through production.

The ideal candidate has deep experience with high-speed interfaces and power delivery, and is comfortable owning designs through debugging, validation, and manufacturing release.

Key Responsibilities

• Design and develop high-speed (PCIe/Ethernet) electronic circuits and systems
• Design power delivery networks (PDN) including DC-DC converters, multi-phase VRMs, and protection circuits
• Create schematics, BOMs, and design documentation for complex PCBs
• Lead board-level architecture decisions including power topology, interface selection, and component choice
• Work with PCB layout engineers to ensure proper stack-ups, routing, and return paths
• Address thermal considerations in collaboration with mechanical and thermal teams
• Lead board bring-up, debug, and root-cause analysis of hardware issues
• Use lab equipment (oscilloscopes, network analysers, power analysers) to validate performance
• Support compliance, reliability, and environmental testing
• Support DFM/DFT reviews and transition designs into manufacturing

Qualifications & Experience

• Diploma, Bachelor’s or Master’s degree in Electrical or Electronic Engineering, or equivalent experience
• 7+ years of experience in hardware electronics design
• Proven experience designing high-speed digital and high-power circuits
• Experience taking designs from concept through production

Technical Skills

• High-speed digital design (DDR, PCIe, Ethernet, SerDes)
• Power electronics and PDN design (buck/boost converters, VRMs, protection)
• Signal integrity (SI) and power integrity (PI) principles
• Schematic capture and PCB tools (Xpedition, Altium, Cadence, or equivalent)
• Hardware debug and lab instrumentation

Preferred Experience (Nice to Have)

• Experience with multi-layer high-speed PCBs (10+ layers)
• Familiarity with SI/PI simulation tools
• Experience with compliance testing (EMI/EMC, safety)
• Experience with AI accelerator or HPC hardware
• Thermal Management: Knowledge of techniques to manage heat dissipation in high-power systems

   How we work

• Ownership and execution: you will have full agency to drive your work forward
• Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines
• Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact
• Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there
• Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who’s it is

About us

• Founded in 2022, team of 70+ which is expanding rapidly
• Modern, open offices in London and Bristol
• Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency

Export control and security clearance

Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a Physical Design Engineer to contribute to our next-generation chip designs. As a Physical Design Engineer, you will support the implementation of complex IC physical designs, from synthesis to sign-off. You will collaborate with cross-functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:

• Support the physical implementation of ASIC/SoC designs, including floor planning, placement, clock tree synthesis (CTS), routing, and sign-off.
• Work on synthesis, timing analysis (STA), and optimisation to achieve strong PPA metrics.
• Assist in power planning and analysis, addressing IR drop, electromigration, and related effects.
• Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
• Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical implementation.
• Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
• Work closely with RTL and architecture teams to support design feasibility, constraints, and physical-aware RTL design.
• Work with advanced AI tools and models to improve productivity, analysis, and design quality.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• 0–5 years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below), including internships.
• Familiarity with EDA tools for place & route, STA, and sign-off.
• Basic understanding of CMOS technology, semiconductor physics, and process limitations.
• Exposure to timing closure, signal integrity, IR drop analysis, and formal verification.
• Proficiency in scripting languages like TCL, Perl, or Python for automation is a plus.
• Excellent problem-solving skills, communication, and teamwork in a collaborative design environment.
• Interest in working with advanced AI tools and models as part of the design workflow.
• Experience or coursework in high-performance computing (HPC), AI accelerators, or networking chips is a plus.

Fractile is building silicon, systems and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about this change, and we are growing fast to meet demand and deliver our product at scale.

We are looking for a highly motivated and experienced RTL Design Engineer to join our dynamic team. In this role, you will play a key part in the design and implementation of digital systems, contributing to every stage of the project lifecycle. Your work will involve developing and optimising Register Transfer Level (RTL) designs for high-performance and power-efficient systems

RTL Development and Implementation:

• Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy.
• Implement complex design modules with a focus on performance, power, and area efficiency.
• Take ownership of design tasks, including planning, execution, and delivery of work packages.
• Define design tasks for the project, including partitioning, interface specifications, and module definitions.
• Collaborate with verification engineers to ensure functional correctness through simulation and formal verification.

Cross-Functional Collaboration:

• Work closely with physical design engineers, and verification teams to ensure seamless integration of the design.

Documentation and Standards Compliance:

• Document RTL design methodologies, module interfaces, and functional requirements.
• Ensure adherence to coding standards, best practices, and maintainability guidelines.

Qualifications and Skills:

Education: Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.

Experience:

• 6+ years of experience in digital design, RTL development, or related roles.
• Proven expertise in developing RTL designs for high-performance systems.
• Familiarity with advanced digital design concepts, such as pipelining, clock-domain crossing, and power gating.
• Experience with high-speed or low-power design methodologies.

Soft Skills:

• Strong analytical and problem-solving skills.
• Effective communication and collaboration abilities in cross-functional teams.
• A detail-oriented approach with a focus on quality and efficiency.

How we work

• Ownership and execution: you will have full agency to drive your work forward
• Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines
• Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact
• Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there
• Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who’s it is

About us

• Founded in 2022, team of 70+ which is expanding rapidly
• Modern, open offices in London and Bristol
• Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency

Export control and security clearance

Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are seeking a Secrets Engineer to lead the development, deployment, and ownership of a secure, scalable secrets-management platform for the entire organization. You will build a new enterprise-grade HashiCorp Vault or OpenBao environment from scratch. It must be highly available, resilient, and suited for long-term use. 

This is a strategic role: you will deliver and operate the central platform. You will also collaborate with engineering, security, and operations teams that manage localized or ad-hoc secrets systems. A key part of your mission is to unify and standardize these methods across Graphcore, ensuring consistent guidelines, smooth migration, and organization-wide support. 

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you’re looking to solve interesting problems and see your work deliver real-world results, this is the team for you.

Responsibilities and Duties

Platform Ownership & Implementation

• Build, deploy, and operate an organization-wide HashiCorp Vault or OpenBao platform from scratch, ensuring high availability, scalability, and strong security posture.

• Define architecture for clustering, storage backends, auto-unseal, disaster recovery, and performance replication.

• Develop migration strategies and reference frameworks that allow other teams to move from their current secrets tools to the central platform.

• Standardization & Governance

• Collaborate with groups from engineering, security, and operations to merge various secrets stores into one unified system.

• Develop organizational standards, policies, access models, and workflows to ensure consistent, secure usage of the platform.

• Advocate for guidelines in secret lifecycle management, authentication methods, and identity federation.

Integrations, Enablement, and Developer Experience

• Build tooling, automation, onboarding guides, and libraries to help teams adopt Vault/OpenBao easily and accurately.

• Integrate Vault/OpenBao with CI/CD systems, cloud platforms, and internal services.

• Deliver workshops, training, and direct technical support to accelerate adoption.

Research & Advanced Security Capabilities

• Evaluate approaches for secure password storage for individual users—either within Vault/OpenBao or by assessing alternatives such as BitLocker or other credential-management systems.
• Conduct an initial study on the feasibility of implementing SPIFFE/SPIRE for workload identity, attestation, and zero-trust authentication, outlining future pathways and recommendations.

Collaboration & Cross-Team Work

• Partner with HPC, Networking, Storage, Security, and Cloud Engineering teams to ensure seamless integration of secrets workflows into broader infrastructure systems.
• Find opportunities to improve security posture and operational efficiency through automation and standardized secrets management. 

Candidate Profile

Essential:

• 4+ years in DevOps, SRE, security engineering, or platform engineering roles.
• Direct experience deploying and operating HashiCorp Vault, OpenBao, or a similar enterprise secrets-management system.
• Strong understanding of authentication backends (OIDC, LDAP, cloud IAM), secret engines, PKI, encryption, and token/credential lifecycle.
• Solid Linux administration and shell scripting experience.
• Experience with Infrastructure-as-Code (Terraform preferred) and CI/CD automation.
• Strong communication skills with the ability to collaborate across multiple engineering and security fields.

Desirable:

• Experience crafting HA/DR architectures for Vault/OpenBao.
• Experience connecting Vault with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines.
• Knowledge of SPIFFE/SPIRE, workload identity, or zero-trust architectures.
• Understanding of modern security tooling, certificate management, or identity platforms.
• Python programming experience for automation and tooling.

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 Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

In the role of Linux Engineer at Graphcore, you will be key to ensuring flawless operation of our systems and personnel. You will support core IT services and Linux environments daily, assisting colleagues with issue resolution efficiently. A strong focus on security and adherence to guidelines is essential. This is an outstanding chance to join a company breaking new ground in AI technology!

The Team

You’ll be joining a multidisciplinary team with outstanding technical skills and an encouraging culture. We collaborate closely, frequently exchanging knowledge, and your expertise will have a direct effect on our business. It's an exciting time to be part of Graphcore, with ambitious new projects ahead. If you’re eager to tackle interesting challenges and watch your work produce real-world outcomes, this is the team for you.

Responsibilities and Duties

• Logging and solving support requests face-to-face and via the ticketing system.
• Managing and supporting Linux-based systems, providing Layer 1 & 2 support.
• Security patching, including risk assessment for Linux environments.
• Collaborating with engineering teams to manage hybrid cloud and on-prem servers.
• Maintaining Infrastructure-as-Code specifications to deploy and automate changes.
• Handling key infrastructure services such as DNS, DHCP, VPN, and LDAP.
• Maintaining and supporting the virtualisation platform.
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base.

Essential:

• Excellent communication and customer service skills.
• Strong understanding of troubleshooting principles and methodical problem-solving.
• Over 5 years of experience in System Administration concentrating on delivering essential infrastructure services and automation.
• Strong Linux administration skills in Debian & RedHat derivatives on bare metal and virtual machines.
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, and subnetting.
• Hands-on experience building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI).
• Experience in handling Infrastructure-as-Code with Terraform, Puppet, Ansible, or equivalent tools.
• Managing Virtualisation Platforms like VMware ESXi/vSphere and KVM/libvirtd.

Desirable

• Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads.
• Familiarity with various monitoring solutions and stacks (e.g., Zabbix, Prometheus, Grafana Mimir, Open Telemetry).
• Experience handling web servers, load balancers, and reverse proxies (e.g., ha-proxy, nginx).
• Proficiency with containerisation frameworks and orchestration (e.g., Docker, containerd, Kubernetes).
• Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are looking for a dedicated Automation Engineer to join Graphcore Ltd. in Bristol, UK. This role offers an outstanding opportunity to build and scale automation capabilities across our modern platforms, starting with the Atlassian Cloud and extending to other innovative systems. You will play a key role in establishing a configuration-as-code model, advancing our automation efforts, and ensuring smooth operations through reliable workflows based on continuous integration and delivery.

The Team

You’ll be joining a world-class, multi-disciplinary team known for its strong technical prowess and encouraging culture. Our team collaborates closely, regularly shares knowledge, and your contributions will make a significant impact on our business. This is an ambitious and pivotal time for us, with numerous new projects on the horizon. If you're determined to tackle interesting challenges and see your work deliver real-world results, this is the team for you! 

Responsibilities and Duties

• Build and implement CI/CD pipelines to manage configuration changes with validations, approvals, and deployment stages
• Develop and maintain configuration-as-code workflows, ensuring all modifications are version-controlled, auditable, and repeatable
• Build and maintain automated systems for provisioning projects, workflows, permissions, and configurations
• Implement approval gates, policy checks, and validation logic within pipelines to enforce governance and compliance
• Connect CI/CD workflows with identity and access systems (e.g., Azure AD) to guarantee secure and auditable provisioning
• Develop automation using APIs and scripting to manage SaaS platforms, initially focusing on Atlassian
• Compose and build reusable automation frameworks and patterns that can be extended to other systems driven by APIs
• Collaborate with Atlassian Administrators to identify manual processes and transition them into automated workflows
• Work closely with the Lead Atlassian Platform Engineer to implement platform architecture, standards, and governance through code
• Develop tooling to enforce standards, prevent configuration drift, and improve consistency across environments
• Build automation and tooling through the use of relevant programming or scripting languages (e.g., Python, Go, PowerShell)
• Monitor and improve the performance, reliability, and scalability of automation workflows and pipelines
• Support audit and compliance requirements by ensuring all modifications are traceable and managed through pipelines
• Contribute to documentation, standards, and guidelines for automation and platform operations

Candidate Profile

Essential:

• Strong experience in DevOps, automation, or platform engineering roles
• Established expertise in developing and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, CloudBees or equivalent)
• Experience building workflows for configuration, infrastructure, or SaaS platforms that follow a structured process
• Experience applying approval, validation, and governance controls within CI/CD pipelines
• Proficient programming or scripting abilities (e.g., Python, Go, PowerShell, or similar)
• Experience working with REST APIs and developing automation for systems that rely on APIs
• Experience managing source control systems (e.g., Git) as the definitive reference
• Knowledge of identity and access management principles
• Ability to compose and build scalable, maintainable automation solutions
• Strong problem-solving skills and ability to work in a distributed environment

Desirable:

• Experience interacting with Atlassian Cloud APIs (Jira, Confluence)
• Experience implementing configuration-as-code or GitOps-style approaches
• Familiarity with Azure AD or other identity providers
• Experience building internal platforms or automation frameworks
• Knowledge of governance, audit, and compliance requirements
• Experience extending automation patterns across multiple SaaS platforms

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.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are seeking a highly experienced Lead Atlassian Cloud Platform Engineer to own our Atlassian Cloud ecosystem. This includes multiple sites and environments used for cross-company collaboration. 

This role is responsible for maintaining the architectural integrity, security stance, and scalable expansion of the Atlassian platform. An important part of this position involves creating and managing a configuration-as-code environment. In this setup, platform settings are handled via APIs, pipelines, and source control instead of manual management, which guarantees consistency, traceability, and adherence across all locations. 

You will serve as the primary platform owner, setting standards, ensuring governance, and promoting self-service features that help teams work efficiently while keeping security and configuration intact. 

Collaborating with Project Managers, engineering teams, and partners, you will build scalable workflows. You will also guide platform growth and ensure the Atlassian environment adapts to the organisation’s changing requirements.

This role begins with an active role that includes daily support, configuration, and onboarding efforts. At the same time, it involves growing the Atlassian platform team and setting up scalable processes. 

The Team

You’ll be joining a multi-disciplinary team with strong technical skills and a very encouraging culture. We work closely together, regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you!

Responsibilities and Duties

• Manage and maintain multiple Atlassian Cloud sites, ensuring secure collaboration spaces that span different companies
• Act as the authoritative decision-maker for Atlassian configuration, preventing configuration drift and ensuring architectural consistency in all builds
• Define and enforce governance standards aligned with audit, compliance, and security requirements
• Establish and maintain a configuration-as-code operating model, ensuring all configuration is provisioned and managed through source control, APIs, and CI/CD pipelines
• Build and maintain automated identity and access provisioning, coordinated with Azure AD (or equivalent), ensuring access follows established rules and is auditable
• Lead automation efforts for project provisioning, workflows, permissions, and scheme management
• Develop and evolve self-service capabilities to standardise project setup and reduce administrative overhead
• Define and maintain best-practice configuration patterns across Jira and Confluence
• Ensure secure separation of internal and third-party collaboration environments, with awareness of data governance, export controls, and security boundaries
• Conduct Root Cause Analysis (RCA) on platform and workflow issues and implement preventative improvements
• Act as the final point of contact for complex Atlassian issues and provide enterprise-level support
• Deliver professional advice to Project Managers and engineering teams across diverse workflows and delivery models
• Provide direct assistance when needed, including collaborating with Project Managers and teams to set up projects and workflows, ensuring they align with platform standards and governance
• Coordinate identity and access integrations and drive automation of administrative processes through scripting and tooling
• Build, mentor, and grow the Atlassian platform team, defining clear roles, responsibilities, and methods of collaboration
• Proactively identify improvement opportunities and drive solutions.

Candidate Profile

Essential:

• Extensive experience coordinating Atlassian Enterprise Cloud
• Proven experience operating as a lead or primary Atlassian platform owner
• Strong automation expertise (Jira Automation, REST APIs, scripting)
• Demonstrated experience implementing configuration-as-code approaches for SaaS platforms
• Experience automating project configuration and enforcing standardisation at scale
• Strong understanding of access control based on user identity and automated provisioning models
• Experience connecting Atlassian with Azure AD (or a similar IdP)
• Experience working in audit-controlled or governance-heavy environments
• Experience crafting secure multi-tenant or cross-company collaboration environments
• Solid understanding of data governance, security boundaries, and compliance considerations
• Proficient scripting abilities (e.g. PowerShell, Python, Go) and familiarity with CI/CD pipelines
• Strong collaborator management and consultancy skills
• Proven ability to operate independently, set direction, and deliver outcomes

Desirable

• Atlassian certifications
• Experience building internal self-service platforms
• Experience directing large-scale collaboration efforts across multiple companies
• Familiarity with DevOps tooling and infrastructure-as-code concepts
• Experience defining enterprise-wide workflow standards

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 Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

•  Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry).
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution

Desirable:

• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a member of the drivers and utilities team you will contribute to the planning, design, implementation and testing of low level kernel drivers and user space driver library code. You will be part of one of the two teams in the system software department (the firmware team being the other one) and report to the drivers and utilities team manager.  

The Team

The drivers and utilities team forms part of the system software group – working closely with both software engineers developing our Poplar SDK and with silicon and hardware engineers developing Graphcore’s IPU solution. The drivers and utilities team develop custom control software on the host in kernel and user space. Our solutions enable our customers to get maximum performance and utility for our cutting-edge products.  

Responsibilities and Duties

• Design, implement, test and document OS Kernel and Device Driver software at the highest standard using C/C++/Python programming languages
• Participate in agile development – working as part of a scrum team to develop the right software at pace
• Communicate effectively and contribute regularly to technical discussions with your peers in software and hardware engineering, with architects and other stakeholders
• Hands-on during key product development phases involving close working with hardware and silicon engineering groups to enable fast time to market delivery

Candidate Profile

Essential:

• Proven industry experience in software development using programming languages such as C/C++/Python
• OS Kernel and Device Driver development and deployment experience in Linux or Windows systems
• Good understanding of lower-level software stack and interactions with the hardware layer
• Possess effective problem-solving skills, familiar with a full suite of debug and performance analysis tools and techniques
• Experience with one or more of the following: PCIe, CPU, device drivers, SoC, firmware, and hardware/software integration
• Proactive in obtaining engineering or management input to solve issues
• Motivated to schedule own workload
• Excellent written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential. 

Desirable

• Experience developing firmware or drivers for GPUs. 
• Knowledge of CUDA or OpenCL  
• Experience working on upstreaming of kernel code / contributing to Linux kernel.
• Exposure to integration with data centre / cloud service operations – for example integration with Kubernetes or open stack. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a System Software Engineer in Test, You will be responsible for design, development, execution and reporting of test and test harness to verify and validate firmware. 

You will be involved with the development team from the early phases to the final production software and ensure maximum coverage of functionality. 

You will be working with different Hardware configurations and required to collaborate closely with Hardware, bring up  and drivers teams to ensure our firmware plugs in seamlessly. 

As a senior member of the team, you will mentor junior members and raise the testing standards of the team. 

The Team

Firmware QA team validates the low-level software responsible for the complete boot, configuration, and monitoring of Graphcore silicon and hardware platforms. Test areas include: 

• Boot and power sequencing
• Low-level hardware interfaces and drivers
• Telemetry, monitoring and SMBus/BMC data exposure
• Silicon and system bring-up 

Responsibilities and Duties

• Design, Implement and deliver high quality tests for complex firmware features
• Support in debug and MTBF reduction of both internal and external incoming issues
• QA Ownership of Key features within the firmware
• Contribute to the continuous integration pipeline
• Support release test and release pipeline maintenance
• Active involvement in technical discussions and reviews for the team. 

Candidate Profile

Essential:

• Proven Firmware test experience
• Experience working on real time embedded systems
• Hardware testing knowledge
• Experience with testing low level drivers and interfaces. 
• Strong Proficiency in: C and Python.
• Possess excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to challenging problems.

Desirable

• Experience with server architecture or datacentre hardware
• Knowledge of server security concepts
• Experience in Platform security and openBMC. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Test Development Engineer - Electronic Hardware 

About Us

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are looking for a high-quality Test Development Engineer to complement our existing team. You will be working closely with the hardware and software development teams to develop and maintain test systems in support of preproduction test solutions.  You will report to the Hardware test team lead, the test team is embedded within the Hardware team.  We want people who work collaboratively and proactively within our teams. Our engineers are not siloed, and they are trusted and encouraged to take ownership of their tasks and develop test solutions that meet our requirements. We value team players and the right characteristics are more important than academic qualification or specific experience.

Candidates will be expected to work closely both with other teams within Graphcore and with 3rd party support engineers/contractors, ensuring good communication between all parties, and to contribute meaningfully to the overall efficiency and success of the Hardware Team.

The Team

The Hardware test team are part of a larger Hardware team that consists of Signal Integrity (SI), Mechanical, layout, package and Hardware engineers. The Hardware team is responsible for delivering state of the art accelerators for machine learning and collaborates with the Silicon, Firmware and Production teams during product development.

Responsibilities and Duties 

A successful candidate will work within Hardware Engineering Team to define test methods, specify suitable test equipment and automate test systems. The team is currently responsible for testing, debugging and characterising high speed serial links, power supplies that can deliver high current and adapt to fast transients. We also debug and characteratize slower speed protocols like JTAG , I2C I3C and low level PCBA debug. 

Developing a deep understanding of Graphcore hardware and software products and how to operate them in a test environment is essential for this position.

You will be expected to understand relevant industry performance test standards, data analysis and presentation systems. Contributions are expected to span multiple areas and involve:

• Manual testing and debug of complex high speed SERDES which include PCIe Gen 6 and 112/224Gb PAM4 ethernet. This will require the use of high bandwidth oscilloscopes, BERTs and VNA’s, and the ability to understand complex IEEE standards.
• Designing and developing graphical user interfaces for controlling our products in a test environment. 
• development of test systems for Graphcore’s Machine Learning Accelerator products at a system and board level
• transfer of preproduction test system knowledge to the production test team.
• test coverage analysis and improvement.
• maintaining and development of our characterisation systems.
• automating tests In either Python or LabView.

Candidate Profile 

Essential:

• Ethernet and / or PCIe
• Project Planning
• Experience in development and automation of test systems for complex electronic systems
• Fluency in test scripting languages. Including Python and LabView
• Experience in development and automation of test systems for complex electronic systems
• self-starter 
• Strong written and oral communications, team-working and interpersonal skills

Desirable

• LPDDR, HBM interfaces
• High current fast transients power supplies
• Knowledge of Linux
• Knowledge of Bash scripts
• Previous experience of server verification
• understanding of PCBA production test methods such as ICT and SLT
• experience in data analysis

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

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. 

Job Summary

The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run. 

The Team

The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.

Responsibilities and Duties

• Write code to Graphcore standards
• Ensure all code written has the appropriate unit tests created for it
• Participate in code reviews individually and as part of the team
• Participate in Scrum ceremonies
• Manually test code written by self and others
• Maintain our Continuous Integration system and fix when broken
• Contribute to and take part in technical design discussions with team members

Candidate Profile

Essential

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
• Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
• Basic understanding of electronics including the ability to read and understand schematics and datasheets
• Introductory experience with any of the following languages: C, C++, Python
• Awareness of Continuous Integration systems such as Jenkins
• Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches

Desirable

• Previously experience with hardware, perhaps with PCI cards or PC motherboards
• Has contributed to open-source projects
• Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
• Has an interest in how hardware and software platforms interact

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

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. 

Job Summary

Reporting to the Firmware Manager, the Graduate Firmware Engineer will contribute to the design, development and delivery of the firmware that powers our next generation products. They are expected to take part in technical discussions across multiple teams within Graphcore and our partners.

The Team

The firmware team writes the software that ensures the full and complete bootup of Graphcore Hardware and Silicon. We design and maintain interfaces to allow our Drivers software to interact with Graphcore Silicon. We present telemetry and monitoring data for use by the host system via the SMBus interface, and by data centre operatives via the BMC.

Responsibilities and Duties

• Support the design, development and delivery of firmware code to the expected Graphcore standards
• Participate in technical design discussions within the Firmware team, other teams within Graphcore and our partners
• Participate in code reviews individually and as part of the team
• Participate in Agile ceremonies and actively improve Agile best practices within the team
• Contribute to and take part in in-depth technical design discussions with team members, bringing new ideas and innovative techniques to the team where possible
• Support engineers within the team and other teams to investigate and resolve firmware-related problems with our products

Candidate Profile

Essential:

• Bachelor's or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field
• Understanding of Continuous Integration, build systems and software packaging best practices
• Introductory experience with C or Python

Desirable

• Experience of designing and implementing real-time embedded software, and subsequent verification
• Proven ability to understand, build and debug complex embedded platforms
• A good understanding of server architecture and performance in a datacentre environment
• Experience of device drivers and OS Kernel development
• A good understanding of server security from both a hardware and software perspective, and how this applies to the server firmware

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About us 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Team

Graphcore is seeking a motivated and curious Graduate IT Infrastructure Engineer to join our Infrastructure Solutions team. This is an exciting opportunity to develop deep technical expertise while supporting the systems that power next-generation AI workloads across the business.

The Infrastructure Solutions team designs, builds, and supports the IT environments that enable our engineers to innovate at scale. We work across on-premise infrastructure, cloud platforms, networking, automation, and security — ensuring performance, resilience, and reliability throughout the organisation.

As a graduate, you’ll gain exposure to enterprise-scale infrastructure and cutting-edge AI hardware environments while learning from experienced engineers.

Responsibilities and Duties

• Supporting and maintaining internal IT infrastructure (servers, storage, networking, virtualisation)
• Assisting with cloud platform operations (e.g. AWS, Azure, GCP)
• Contributing to automation and infrastructure-as-code initiatives
• Helping monitor system performance, reliability, and security
• Troubleshooting technical issues and supporting root cause analysis
• Working collaboratively across engineering and IT teams
• Participating in infrastructure improvement projects

You’ll be supported with structured learning, mentorship, and increasing responsibility as your skills develop.

Candidate Profile

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field. 
• Passionate about infrastructure, cloud technologies, and systems engineering
• Familiar with some of the following (through study, projects, or internships):
  • Linux or Windows server environments
  • Networking fundamentals (TCP/IP, DNS, routing, firewalls)
  • Cloud platforms (AWS/Azure/GCP)
  • Scripting (Python, Bash, PowerShell)
  • Virtualisation or containerisation (VMware, Docker, Kubernetes)
• Analytical, methodical, and eager to learn
• Strong communicators who enjoy problem-solving in a team environment

We don’t expect you to know everything — we value curiosity, initiative, and a willingness to learn.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About us 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Graduate Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. This role is ideal for someone who loves working hands-on with models, has a strong foundation in ML fundamentals, and wants to push the boundaries of AI performance in real-world systems. 

The Team

The Applied AI team’s role is to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for different modalities and applications. 

Responsibilities and Duties

• Implement state-of-the-art machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. 
• Evaluate new software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. 
• Benchmark models and key model components to identify performance bottlenecks and improve model efficiency. 
• Design and conduct experiments on novel AI methods, analyse and report results clearly. 
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware. 
• Stay current with AI research and actively engage with the broader AI and open-source community. 

Candidate Profile 

Essential:

• Bachelor’s/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related field. 
• Proficiency in deep learning frameworks such as PyTorch/JAX and strong software development skills. 
• Solid understanding of deep learning fundamentals — architectures, optimisation, evaluation, and scaling. 
• Capable of designing, executing and reporting from ML experiments. 
• Comfortable working in a fast-moving, occasionally ambiguous environment. 
• Enjoy cross-functional work collaborating with other teams. 

Desirable:

Experience in one or more of: 

• Development of deep learning models including large generative models for language, vision and other modalities; 
• Low-precision/efficient compute; 
• Distributed training of large-scale ML models. 
• Experience writing high performance C++/Triton/CUDA kernels. 
• Contributions to open-source projects or published research. 
• Familiarity with cloud platforms and ML infrastructure. 
• Enthusiasm for presenting, publishing, or engaging in the AI community. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

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. 

Job Summary

As a Graduate Engineer in the Analysis Tools Team you will work as part of a team developing profiling tools to help users optimise their applications on Graphcore hardware

The Team

The Analysis Tools team builds profiling tools to help users optimise their applications for Graphcore hardware. The team is responsible for collecting profiling information from the hardware and software, processing the profiling data and presenting it to the user via libraries, command line tools and graphical applications.

Responsibilities and Duties

• Design, development and testing of features for profiling.
• Fixing bugs and supporting customers.
• Knowledge sharing and collaborating with other engineers in the team.

Candidate Profile

Essential:

• Bachelor's or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field
• Experience in developing web applications using TypeScript and modern frameworks (ideally React).
• Problem-solving skills and ability to debug and resolve issues.
• Communication and collaboration skills.

Desirable:

• Experience using C++ or Rust.
• Experience with performance profiling tools.
• Experience with relational databases.
• Understanding of memory management, multithreading, and hardware utilisation.
• Knowledge of continuous integration/continuous delivery pipelines and build tools

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

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.  

Job Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. 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 Team 

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Supporting the delivery and ongoing maintenance of tools and services to support the software build and release process 

• Deploy and maintain services with Kubernetes and Docker 

• Supporting the ongoing management of our Cloud Infrastructure using tools such as Terraform 

• Working closely with development teams working on the ML Software Stack (SDK) 

Candidate Profile 

Essential: 

• Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field 

• Knowledge of Python/Go/Java/C++ (or similar language) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Strong communication skills 

Desirable 

• Experience using Kubernetes (k8s) or OpenStack 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with build tools (e.g. CMake) 

• Experience with Grafana 

• Familiarity with cloud services (e.g. AWS) 

Benefits 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.  

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. 

Job Summary

The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run. 

The Team

The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.

Responsibilities and Duties

• Write code to Graphcore standards
• Ensure all code written has the appropriate unit tests created for it
• Participate in code reviews individually and as part of the team
• Participate in Scrum ceremonies
• Manually test code written by self and others
• Maintain our Continuous Integration system and fix when broken
• Contribute to and take part in technical design discussions with team members

Candidate Profile

Essential

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
• Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
• Basic understanding of electronics including the ability to read and understand schematics and datasheets
• Introductory experience with any of the following languages: C, C++, Python
• Awareness of Continuous Integration systems such as Jenkins
• Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches

Desirable

• Previously experience with hardware, perhaps with PCI cards or PC motherboards
• Has contributed to open-source projects
• Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
• Has an interest in how hardware and software platforms interact

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

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. 

Job Summary

We are looking for a Graduate Software Engineer to join a team pioneering the development of high-performance machine learning (ML) kernels for a new generation of AI hardware. 

In this role, you will contribute to building optimised compute kernels that support a wide range of ML operators—powering applications from convolutional neural networks (CNNs) to large language models (LLMs). 

You'll leverage low-level programming and hardware-aware optimisation techniques to extract maximum performance and efficiency from modern accelerators. This is a unique opportunity to work at the intersection of ML, numerical computing, and scalable systems.

The Team

This is an exciting opportunity to join an expanding team at Graphcore. The Kernel Engineering team is responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware.

Responsibilities and Duties

• Supporting the design and implementation of kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++
• Profile and optimise for the next generation of AI hardware - threading, cache locality, memory layout, and kernel launch efficiency.
• Support performance and correctness - add microbenchmarks, regression tests, numerics validation
• Debug issues, resolve bugs and generally improve the quality and functionality of the product

About you

You are open-minded and collaborative with interests in performance optimisation and memory-efficient designs, and you are looking to join a team of experts.

You are comfortable to discuss technical tradeoffs, receive feedback and iterate on solutions and you are drawn to technically challenging problems and use analyticals reasoning to navigate unfamiliar domains.

Essential:

• Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field
• Experirence in C/C++11.
• Familiarity with Python or scripting tools for automation and testing.
• Understanding of linear algebra, numerical methods, or scientific computing.
• Good problem-solving skills and ability to work collaboratively in a fast-paced environment.

Preferred Qualifications:

• Courseworks or past experience in using ML frameworks, parallel programming, or code optimisation.
• Exposure to math libraries such as MKL or OpenBLAS.
• Knowledge of performance analysis tools.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

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. 

Job Summary 

As a member of the Modelling team you will contribute to the planning, design, implementation and testing of software implementation of the upcoming AI hardware. You will also help other teams to integrate future versions of hardware and help them to scale out distributed modelling environments. You will report to modelling team manager. 

The Team

The Modelling team forms a part of larger frameworks group – working closely with framework engineers developing Graphcore’s cutting edge AI solution. The Modelling team is also working on the integration of modelling and profiling capabilities into the ML stack. 

Responsibilities and Duties

• Supporting the design, implementation, testing and documentation of the future hardware at the highest standard using C/C++/Python programming languages
• Participate in agile development – working as part of a scrum team to develop the right software at pace
• Communicate effectively and contribute regularly to technical discussions with your peers in software and hardware engineering, with architects and other stakeholders
• Hands-on during key product development phases involving close working with framework teams to enable fast time to market delivery

Candidate Profile 

Essential:

• Bachelor or Master's degree in Computer Science, Maths, Machine Learning, Data Science, or related field
• Good C++ knowledge
• Good understanding of lower-level software stack and interactions with the hardware layer
• Possess effective problem-solving skills, familiar with a full suite of debug and performance analysis tools and techniques
• Excellent written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential.

Desirable:

• Previous hardware simulation or modelling experience.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

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.  

Job Summary 

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton.  

This role sees you joining our PyTorch team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

In this role you will closely collaborate with other engineers, both within the PyTorch team as well as other engineering teams. You will contribute to the delivery of complex, open-ended technical tasks and develop deep expertise in the PyTorch project. You understand the importance of managing code quality and code complexity and balancing this against the team’s goals and deadlines.  

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton and in future, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.  

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Supporting the design and implementation of new features & maintaining and supporting existing features.  

• Developing and maintaining unit tests, component tests and integration tests.  

• Optimising the software stack to make it more performant for our users.  

• Managing code quality, code complexity and technical debt.  

• Contributing to documentation, including user manuals and tutorials.  

• Conducting code reviews.  

• Resolving regressions, performance issues and software defects.  

• Contribute to continuous improvements to improve ways of working.  

• Working with upstream open-source development teams.  

Candidate Profile  

Essential: 

• Bachelor or Master's in Computer Science, Maths, Machine Learning, Data Science, or related field  

• Experience of Python development.  

• At least one of:  

• Experience of compiler development.  

• Experience of using and/or development of ML Frameworks.  

• Experience in a computationally intensive engineering field.  

Desirable: 

• Demonstrable knowledge of AI/ML.  

• Understanding of computing architectures.  

• Experience of maintaining and supporting a complex code base.  

• Experience in profiling / optimising high performance code.  

• Experience of writing ML kernels.  

Benefits 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.  

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.  

Job Summary 

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in using machine learning frameworks such as PyTorch and Triton.  

This role sees you joining our Triton team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities. 

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Supporting the design and implementation of new features & maintaining and supporting existing features. 

• Developing and maintaining unit tests, component tests and integration tests. 

• Optimising the software stack to make it more performant for our users. 

• Managing complex technical tasks with cross-team dependencies. 

• Managing code quality, code complexity and technical debt. 

• Contributing to documentation, including user manuals and tutorials. 

• Conducting code reviews. 

• Resolving regressions, performance issues and software defects. 

• Contribute to continuous improvements to improve ways of working. 

• Working with upstream open-source development teams. 

Candidate Profile 

Essential: 

• Bachelor or Master's degree in Computer Science, Maths, Machine Learning, Data Science, or related field 

• Hands-on experience with Python/C++ development. 

• Practical experience of compiler development. 

Desirable: 

• Demonstrable knowledge of AI/ML. 

• Understanding of computing architectures. 

• Experience of maintaining and supporting a complex code base. 

• Experience in profiling / optimising high performance code. 

• Experience of using and/or development of ML Frameworks. 

Benefits 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.  

About Graphcore 

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary  

The Product Test and Diagnosis team requires more expertise and experience in the area of board / PCBA hardware test as part of our mission to deliver the high quality manufacturing test solutions that our advanced technology products require. The role requires close interaction with the hardware design team and other parts of the PTD team in order to define and develop appropriate test solutions using techniques such as boundary scan and embedded functional test.   

The Team

The Product Test and Diagnosis team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. 

Responsibilities and Duties 

• Analysis of PCB design testability
• Analysis of PCB design susceptibility to manufacturing defects
• Definition and development of test solutions based on that analysis
• Deployment and support of tests in factory and field environments 

Candidate Profile  

Essential:  

• Experience in manufacturing test of advanced electronic systems
• Thorough understanding of the fundamentals of electronics
• Thorough understanding of SMT / PCB manufacturing processes and failure mechanisms
• Thorough understanding of JTAG 1149 boundary scan test techniques
• Experience in the local and remote use of test instruments (Oscilloscopes, DMM's, Clock generators, SMU's, PSU's, etc.)
• Ability to work with internal teams such as software, silicon design and hardware design
• Ability to work with external board test partners
• Ability to solve problems in complex electronic systems
• Good communication skills 

Desirable 

• Several years of experience in a relevant environment 
• Appreciation of AOI and AXI process capability.
• Experience in programming and using board test systems including Bed -of-nails ICT systems
• Experience in the implementation of ISP and OBP solutions  

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications