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.

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 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.

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 the Hardware System Test Engineering Manager, you will lead the Hardware System Test Team responsible for developing manufacturing test solutions for High Performance Modules (HPM), Server Blades, and Multi-node racks as part of the production assembly process. You will drive the creation of robust test executive software that sequences tests and integrates test content from multiple internal and external sources. You will guide the development of manufacturing test content and test fixtures informed by a deep understanding of silicon, board, and system design. Working cross-functionally with hardware, firmware, and software teams, you will ensure the right tools and functionality exist to efficiently validate product quality at scale. 

The Team 

The Product Test and Diagnosis team is responsible for identifying and diagnosing hardware defects introduced during the manufacturing process. The team defines, develops, and executes an end-to-end test strategy spanning silicon, board-level assemblies, server blades, and rack-scale systems. Testing is performed across the full product lifecycle, including manufacturing, and deployed field environments. 

Product Test and Diagnosis is part of the Manufacturing Operations organisation, which also comprises Manufacturing Technology, Supply Chain, and Quality teams. The group operates as a global team, with engineers based in the UK (Bristol and Cambridge), Taiwan, India, and the United States. 

Responsibilities and Duties 

• Lead and grow a multidisciplinary team of hardware and software test engineers delivering manufacturing test solutions for complex compute systems. 

• Define the manufacturing test strategy and roadmap for High Performance Modules, Server Blades, and Multi-node racks. 

• Own delivery of test executive software used in both manufacturing and lab environments to orchestrate test sequencing, logging, results aggregation, and integration of test content from diverse sources. 

• Partner with internal software, firmware, and platform teams to ensure required hooks, diagnostics, telemetry, and APIs exist to enable effective manufacturing test. 

• Establish best practices for test coverage, traceability, release management, and configuration control of test software and content. 

• Implement metrics and dashboards for manufacturing test (yield, escapes, false fails, coverage, cycle time) and lead continuous improvement initiatives. 

• Drive root-cause analysis of manufacturing failures and field returns, coordinating corrective actions across design, validation, and manufacturing engineering. 

• Own the delivery of manufacturing test fixtures for High Performance Modules and Server Blades, including defining requirements, managing external subcontractors, and ensuring fixtures meet quality, cost, schedule, and production readiness needs. 

• Ensure test solutions are scalable, maintainable, and production-ready, including documentation, training, and support processes for factory deployment. 

• Support supplier/contract manufacturing engagements as needed, including test station readiness, deployment qualification, and ongoing production support. 

Candidate Profile  
 

Essential: 

• Experience developing manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large scale compute hardware. 

• Demonstrated people leadership experience managing a mixed hardware/software engineering team (hiring, coaching, performance management, and team development). 

• Deep technical understanding across silicon, board, and system design sufficient to define effective manufacturing test coverage and guide debug/root-cause analysis. 

• Strong cross-functional collaboration skills, with experience driving requirements and delivery with internal software/firmware/platform teams to enable testability. 

• Hands-on experience using Linux, OpenBMC, and vendor specific test tools, diagnostics, and system-level utilities to test hardware in lab and manufacturing environments. 

• Experience with scripting languages such as Python, Bash, or similar. 

Desirable: 

• Familiarity with rack-scale/multi-node systems, high-speed interconnects, and production qualification of complex assemblies. 

• Experience improving manufacturing KPIs (yield, test time, false fail reduction) through data-driven process and test optimization. 

• Knowledge of open-source tools commonly used for manufacturing test 

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 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

As a Technical Programme Manager, you will lead the planning and delivery of complex silicon chip design programmes, focusing on execution across design, implementation and tape-out. You will work across the full development lifecycle, from early product definition through to production readiness.

You will partner with engineering managers and cross-functional teams (ASIC/SoC design, physical design, verification, DFT, CAD, product and operations) to ensure programmes are delivered on time, within scope and to a high standard. This role requires strong technical understanding, programme leadership, and the ability to manage dependencies in a fast-paced semiconductor environment.

The Team

Our Engineering Programme Management team sits at the heart of silicon innovation, enabling delivery of advanced chip technologies. We work across architecture, design, implementation and operations to drive alignment, execution and continuous improvement throughout the silicon lifecycle.

Key Responsibilities

• Lead planning, execution and day-to-day management of silicon design programmes, ensuring milestones and dependencies are clearly defined and tracked.
• Build and maintain integrated schedules across architecture, RTL, verification, physical design, DFT, CAD and tape-out.
• Drive alignment across engineering, product and operations on scope, priorities, resourcing and delivery plans.
• Support execution through key phases including specification, design reviews, implementation, sign-off and tape-out readiness.
• Manage scope changes, assessing impact on schedule and resources while maintaining stakeholder alignment.
• Identify risks, dependencies and challenges early, with clear mitigation and escalation plans.
• Coordinate cross-functional readiness for major milestones such as IP integration, design closure and tape-out.
• Provide regular updates on programme status, risks and recovery plans.
• Drive structured decision-making and accountability across teams.
• Capture lessons learned to improve programme management practices and workflows.

Candidate Profile

Essential

• Bachelor’s degree (or higher) in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or a related field.
• 3–5 years’ experience in programme/project management or technical delivery within semiconductor, ASIC, SoC or hardware environments.
• Experience supporting silicon design programmes across RTL, verification, physical design and tape-out.
• Good understanding of the silicon development lifecycle, including design, integration, implementation and tape-out milestones.
• Experience working with cross-functional engineering teams.
• Strong organisational and planning skills, with the ability to manage dependencies and competing priorities.
• Strong problem-solving skills with a proactive approach to risk and issue management.
• Excellent communication and stakeholder management skills across technical and non-technical audiences.
• Self-motivated, collaborative, and effective in fast-moving environments.

Desirable

• Experience with ASIC/SoC development flows, including design reviews, implementation, sign-off and tape-out.
• Familiarity with RTL, physical design, DFT, CAD or silicon platform teams.
• Understanding of system-level considerations influencing chip design.
• Experience in AI, accelerator, datacentre or high-performance compute silicon programmes.
• Knowledge of semiconductor product development from concept to manufacturing handoff.

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

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

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore 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 help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the PyTorch project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes. 

Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer.  

Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on frameworks other than PyTorch. 

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 

• Designing and implementing 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.
• Provide technical leadership, contributing the team’s technical direction and processes.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Coaching and mentoring other team members.
• Contributing to a collaborative team culture.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open-source development teams.

Candidate Profile 

Essential: 

• Demonstrable strong software engineering skills.
• Experience of Python development.
• Experience of developing performant C++ applications in a commercial setting.

At least one of:

• Experience of writing ML kernels.
• 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.

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

We decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted.

The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision.

You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps.

You might find yourself:

• Expanding measurement coverage from small clusters to full racks
• Designing workloads that expose system behaviour
• Building systems to run experiments across large clusters
• Interpreting results and defining what “good enough” looks like

This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgement.

We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume.

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)
• Exposure to data analysis, statistics, or interpreting variability in results
  

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 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

We decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted.

The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision.

You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps.

You might find yourself:

• Expanding measurement coverage from small clusters to full racks
• Designing workloads that expose system behaviour
• Building systems to run experiments across large clusters
• Interpreting results and defining what “good enough” looks like

This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgement.

We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume.

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)
• Exposure to data analysis, statistics, or interpreting variability in results
  

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 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

We are looking for high-quality silicon physical design engineers to complement our existing exceptional team. We have a range of roles available with focus on those with extensive ranges of skills and experience although exceptional candidates with less experience will be considered. We want people who work collaboratively and proactively within a team focusing on collectively achieving our goals and creating the right engineering solutions. Good communication is essential, as is the ability to adapt and learn – we value the right characteristics more than specific experience.

For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to take ownership of their designs and problem solutions. You will become part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure.

The Team

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

Responsibilities and Duties

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

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

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 Physical Team.

Candidate Profile

Essential Skills and Experience:

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

Desirable Skills and Experience:

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

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). 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 

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 (note: “Triton” here refers to the Triton language/compiler and not the inference framework).  

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.  

In this role you will closely collaborate with other engineers, both within the Triton team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the Triton project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes. 

Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer. Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on teams other than Triton. 

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 

• Designing and implementing 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.
• Provide technical leadership, contributing the team’s technical direction and processes.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Coaching and mentoring other team members.
• Contributing to a collaborative team culture.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open-source development teams. 

Candidate Profile 

Essential: 

• Demonstrable strong software engineering skills.
• Demonstrable experience of Python/C++ development.
• Demonstrable experience of compiler development. 

Desirable: 

• Experience with MLIR (or more generally: SSA-based IRs) is highly 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.
• Experience of using and/or development of ML Frameworks.
• Experience in a computationally intensive engineering field. 

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