Senior Software Engineer (AI Compute Libraries & Performance)

Graphcore; West of England; On-site; GBP 110,000 - 170,000; Full time

Benefits offered by this job

Work-life balance

Private Medical Insurance

Pension

Income protection

Progression

Wellbeing

Job summary

Graphcore is seeking a Senior Software Engineer to build high-performance AI compute libraries for next-generation hardware. You will design and implement kernels for linear algebra and tensor operations in C++, optimize performance, and ensure numerical correctness while collaborating within an Agile team.

You will also profile across architectures, contribute microbenchmarks, and mentor peers, with a strong emphasis on code quality, reliability, and integration with PyTorch and related stacks.

Qualifications

• Strong C++ and Python programming skills.
• Experience with kernel development and performance profiling.
• Familiarity with BLAS/DNN stacks and CPU micro-optimisations.
• Experience integrating native code into PyTorch or similar.
• Understanding of processor architectures and Linux profiling.

Responsibilities

• Design and implement kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++.
• Own performance and correctness – add microbenchmarks, regression tests, numerics validation.
• Profile and optimise for next generation of AI hardware – threading, cache locality, memory layout, and kernel launch efficiency.
• Debug issues, resolve bugs and improve the quality and functionality of the product.
• Actively engage in and support Agile ways of working within the team.
• Mentor colleagues within the team, sharing knowledge and providing guidance.

Skills

C++

Python

Kernel development

Perf optimization

GEMM ops

Threading

Vectorisation

PyTorch integration

Linux profiling

Tools

PyTorch

cuDNN

Job description

• As a Senior Software Engineer, you’ll build high-performance AI compute libraries for next-generation AI hardware, working on linear algebra, tensor operations, numerical correctness, and low-level performance optimisation
• This is an exciting opportunity to join an expanding team at Graphcore. Our ML Kernels & Runtime team are responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware
• Design and implement kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++
• Own performance and correctness - add microbenchmarks, regression tests, numerics validation
• Profile and optimise across for next generation of AI hardware - threading, cache locality, memory layout, and kernel launch efficiency
• Debug issues, resolve bugs and generally improve the quality and functionality of the product
• Actively engage in and support Agile ways of working within the team
• Mentor colleagues within the team, sharing knowledge and providing guidance where appropriate

Benefits

• Work-Life Balance: We believe you should have a good work-life balance. Everyone’s situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
• Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
• Pension: We believe that our employees deserve the best when it comes to planning for their future
• Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place
• Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
• Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing

Excellent programming and scripting skills using C++ and PythonPossess excellent written and oral communication skills, good work ethics, high sense of team-workUnderstanding of processor architectures and profiling on LinuxLove to produce quality work and be a team playerStrong command of algorithmic performance - vectorisation, memory hierarchy, threading, lock-free patternsHands-on with at least one BLAS/DNN stack and able to read/extend kernelsComfort with CPU micro-optimisations and numerical stability/trade-offs across FP32/FP16/BF16/FP8ABI/API stability and packaging for Linux system (manylinux, wheels)Experience integrating native code into PyTorch or similar (custom ops, extensions, dispatch keys)