Graphcore
Senior Engineer (ML Engineer)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
ML Validation Engineer – Trusted AI Performance
Job Description
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
- Expose regressions, correctness issues, and performance limits across frameworks, models, and execution environments.
- Help teams understand what is working, what is breaking, and why.
- Run open-source models, build automated benchmarking pipelines, and create targeted tests for:
- Numerical precision
- Quantisation
- Attention mechanisms
- Distributed execution
- Model subgraphs
This is a role for someone who wants to stay close to how AI systems really work. You won’t design new models, but you’ll make them run reliably on ambitious infrastructure.
The Team & 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
- Hardware targets
Engineers are expected to: ✔ Take ownership ✔ Question assumptions ✔ Improve testing methodologies
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The team operates quickly, but decisions are made based on evidence, benchmark data, and technical discussion.
You’ll collaborate closely with software, infrastructure, and hardware teams, with squads organising around priorities—while allowing engineers to shape roadmaps and set quality standards.
Requirements
We’re looking for candidates with:
- Strong experience in Machine Learning or ML-adjacent software engineering.
- A solid grasp of:
- Neural networks
- Training & inference pipelines
- Numerical precision & performance trade-offs
- Hands-on experience with:
- PyTorch, TensorFlow, JAX, Triton, or similar ML frameworks/tools.
- Strong Python skills for:
- Automation
- Experimentation
- Benchmarking & reporting
- Experience designing, running, and analysing ML benchmarks or model experiments.
- Confident debugging skills in Linux, with curiosity about:
- Model behaviour
- System performance
Benefits
- Unlimited annual leave
- Up to 5% matched pension
- Phantom equity – share in Graphcore’s success
- True flexibility in working arrangements (remote/hybrid)
- Office spaces designed for collaboration
- Free food & an on-site barista
- Health cash plan
- Income protection
- Life assurance
- Plus, choose from additional benefits:
- Private medical insurance
- Dental plan
- And more
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Diversity & Inclusion
We welcome people from all backgrounds and experiences. We are committed to building an inclusive environment where everyone can thrive.
As an equal opportunity employer, we recognise that everyone brings unique strengths and perspectives.
If you need any adjustments during the interview process, please let us know—we’re happy to support you.
Why Graphcore?
Graphcore is a world-leading innovator in AI compute, developing hardware, software, and systems infrastructure to enable the next generation of AI breakthroughs.
As part of the SoftBank Group, Graphcore is part of an elite network driving transformative technologies. Together, they share a bold vision:
To enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Our teams come from diverse backgrounds, blending expertise in:
- AI research
- Silicon design
- Software engineering
- Systems architecture
Shape the Future of AI
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location