Hardware-Aware AI Research Engineer

Graphcore; West of England; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Annual leave

Private medical insurance

Dental plan

Pension matched up to 5%

Life assurance

Income protection

Parental leave

Job summary

Graphcore in the UK is hiring a Research Engineer to advance AI research, combining machine learning expertise with practical engineering to deliver scalable AI solutions.

You will work with researchers, silicon and software engineers to prototype ideas, optimize performance, and publish results, with locations in London, Cambridge or Bristol.

The role emphasizes hardware-aware ML, low-level programming and collaboration across teams in a cutting-edge AI hardware company.

Qualifications

• Master’s or PhD in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry).
• Proficiency in Python with deep learning frameworks (PyTorch or JAX).
• Experience with deep learning fundamentals: models, optimization, evaluation, scaling.
• Lower-level programming for hardware efficiency (C++/CUDA/Triton).

Responsibilities

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

Skills

Python

PyTorch

JAX

C++/CUDA/Triton

Low-level programming

Hardware familiarity

XLA/ATen ops

Education

Master’s/PhD

Tools

CUDA Toolkit

XLA/ATen

Job description

Graphcore in the UK is hiring a Research Engineer to advance AI research, combining machine learning expertise with practical engineering to deliver scalable AI solutions.

You will work with researchers, silicon and software engineers to prototype ideas, optimize performance, and publish results, with locations in London, Cambridge or Bristol.

The role emphasizes hardware-aware ML, low-level programming and collaboration across teams in a cutting-edge AI hardware company.