Hardware-Aware AI Research Engineer

Cerebras; Greater London; On-site; GBP 80,000 - 140,000; Full time

Benefits offered by this job

Private medical insurance

Dental plan

Pension (matched)

Life assurance

Job summary

Graphcore seeks an innovative research engineer to advance AI research and develop hardware-aware ML methods. You will translate ideas into scalable implementations, working with researchers and engineers across our London, Cambridge and Bristol sites.

We value strong software engineering skills, performance tuning, and the ability to publish impactful work at leading conferences. This role offers exposure to cutting-edge AI hardware and a collaborative research culture.

Qualifications

• Strong ML background with practical engineering skills.
• Experience in lower-level programming for hardware efficiency.
• Familiarity with hardware capabilities for deep learning.

Responsibilities

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present work to AI conferences and workshops.
• Provide technical insight to internal teams via experiments and reports.
• Collaborate with researchers, silicon and software engineers on future AI hardware.

Skills

Python (DL)

C++/CUDA

ML experimentation

Performance optimisation

Hardware knowledge

Education

Master’s/PhD in a technical field

Job description

Graphcore seeks an innovative research engineer to advance AI research and develop hardware-aware ML methods. You will translate ideas into scalable implementations, working with researchers and engineers across our London, Cambridge and Bristol sites.

We value strong software engineering skills, performance tuning, and the ability to publish impactful work at leading conferences. This role offers exposure to cutting-edge AI hardware and a collaborative research culture.