Cambridge•Posted: Jul 8•Deadline: Aug 16
ABOUT THE JOB
Validate the ML stack that turns accelerator hardware into trusted AI performance.
This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex
systems before they reach customers.
Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments.
You will help teams understand what is working, what is breaking and why.
You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That
includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs.
This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will
make them run reliably on ambitious infrastructure.
THE TEAM AND CULTURE
The ML QA team is where Graphcore’s ML software stack comes together for validation. Work spans unit tests, full model benchmarks,
distributed workloads, simulators, emulators and hardware targets.
Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but
decisions are grounded in evidence, benchmark data and technical discussion.
You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for
engineers to shape roadmaps and raise the quality bar.
WHAT WE’RE LOOKING FOR
· Strong experience in Machine Learning or ML-adjacent software engineering roles.
· A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.
· Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.
· Strong Python skills for automation, experimentation, benchmarking and reporting.
· Experience designing, running and analysing ML benchmarks or model experiments.
· Confident debugging skills in Linux, with curiosity about model behaviour and system performance.
BENEFITS
· Unlimited annual leave
· Up to 5% matched pension
· Phantom equity – share in Graphcore’s success
· True flexibility in how and where you work
· Office spaces designed for collaboration
· Free food and an on-site barista
· Health cash plan
· Income protection
· Life assurance
· Along with other benefits you can choose from (private medical insurance, dental plan etc)
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can
do their best work.
We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any
adjustments during the interview process, just let us know - we’re happy to support you.
JOIN THE TEAM AT GRAPHCORE
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and
systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions
across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most
transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits
are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI
research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to
solve complex problems and deliver meaningful progress in AI compute.
If you want to validate the systems behind next generation AI compute, we’d love to hear from you. Apply now to help build what
comes next.
Bristol•Posted: Jul 8•Deadline: Aug 16
ABOUT GRAPHCORE
At Graphcore, we’re building the future of AI compute.
We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from
silicon and software to infrastructure at datacenter scale.
As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing
SoftBank AI ecosystem.
To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.
We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make
an impact on the company, our products and the future of artificial intelligence
JOB SUMMARY
Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The
role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software
architecture, automation, and engineering best practices.
The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and
enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing
to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding
environment spanning ML frameworks, infrastructure, and AI accelerator hardware
THE TEAM
The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and
data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to
upstream open-source projects and collaborating across the wider software organization.
Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability
across the ML software stack, helping to deliver robust and high-quality products to customers.
RESPONSIBILITIES AND DUTIES
* Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack.
* Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience.
* Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware.
* Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and
benchmarking).
* Work closely with all Software development teams, supporting a culture of quality, security and maintainability.
* Review code and designs, setting a high bar for software engineering best practices.
* Mentor and support junior engineers, helping raise the overall technical capability of the team.
* Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and
organizational goals.
CANDIDATE PROFILE
Essential:
* Experience in production-quality software engineering roles.
* Strong software design and architecture skills, with experience working on large or complex systems.
* Strong proficiency in Python, including experience building and maintaining production codebases.
* Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows).
* Experience working in Linux environments.
* Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed.
* Proven ability to mentor junior engineers and influence engineering practices within a team.
* Strong problem-solving skills and a proactive, self-directed approach to work.
* Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field.
Desirable
* Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow
* Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines
* Experience working with hardware simulators or emulators (e.g. QEMU).
* Experience developing for or working with FPGA-based systems.
* Experience with people management or mentoring
BENEFITS
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance
and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental
leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a
range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different
backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for
everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We
can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa
sponsorship or support for visa applications
London•Posted: Jul 8•Deadline: Aug 16
ABOUT GRAPHCORE
At Graphcore, we’re building the future of AI compute.
We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from
silicon and software to infrastructure at datacenter scale.
As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing
SoftBank AI ecosystem.
To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.
We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make
an impact on the company, our products and the future of artificial intelligence
JOB SUMMARY
Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The
role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software
architecture, automation, and engineering best practices.
The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and
enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing
to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding
environment spanning ML frameworks, infrastructure, and AI accelerator hardware
THE TEAM
The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and
data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to
upstream open-source projects and collaborating across the wider software organization.
Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability
across the ML software stack, helping to deliver robust and high-quality products to customers.
RESPONSIBILITIES AND DUTIES
* Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack.
* Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience.
* Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware.
* Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and
benchmarking).
* Work closely with all Software development teams, supporting a culture of quality, security and maintainability.
* Review code and designs, setting a high bar for software engineering best practices.
* Mentor and support junior engineers, helping raise the overall technical capability of the team.
* Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and
organizational goals.
CANDIDATE PROFILE
Essential:
* Experience in production-quality software engineering roles.
* Strong software design and architecture skills, with experience working on large or complex systems.
* Strong proficiency in Python, including experience building and maintaining production codebases.
* Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows).
* Experience working in Linux environments.
* Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed.
* Proven ability to mentor junior engineers and influence engineering practices within a team.
* Strong problem-solving skills and a proactive, self-directed approach to work.
* Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field.
Desirable
* Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow
* Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines
* Experience working with hardware simulators or emulators (e.g. QEMU).
* Experience developing for or working with FPGA-based systems.
* Experience with people management or mentoring
BENEFITS
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance
and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental
leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a
range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different
backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for
everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We
can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa
sponsorship or support for visa applications
