Senior Software Engineer - AI Compute Libraries & Performance

About the job

Build the compute kernels that make next-generation AI hardware perform at its limit. As a Senior Software Engineer, you will create high-performance AI compute libraries for Graphcore’s next-generation hardware. Your work will sit close to the hardware, where every design choice matters. You will own kernels for linear algebra and tensor operations, including GEMM, convolutions, reductions and fused operations. You will improve performance, correctness and numerical reliability across critical AI workloads. This role is for engineers who enjoy hard performance problems and care deeply about quality. You will help shape software that enables customers to get more from AI hardware. The team and culture You will join the ML Kernels and Runtime team, an expanding group focused on high-performance compute libraries. The team works close to the hardware and close to the product. Work happens through clear ownership, practical decision-making and fast technical feedback. Engineers profile, test, debug and improve the product with accountability for real outcomes. You will be expected to speak up, share knowledge and help others raise the bar. Mentoring, technical judgement and all-round leadership matter here Responsibilities and Duties

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

Candidate Profile

Essential

Excellent programming and scripting skills using C++ and Python

Understanding of processor architectures and profiling on Linux

Possess excellent written and oral communication skills,

good work

ethics, high sense of

team-work

Love to produce quality work and be a team player

Desirable

Strong command of algorithmic performance - vectorisation, memory hierarchy, threading, lock-free patterns

Hands-on with at least one BLAS/DNN stack and able to read/extend kernels

Comfort with CPU micro-optimisations and numerical stability/trade-offs across FP32/FP16/BF16/FP8

Experience integrating native code into

PyTorch

or similar (custom ops, extensions, dispatch keys)

ABI/API stability and packaging for Linux system ( manylinux , wheels)

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 shape the compute libraries behind next-generation AI hardware, we’d love to hear from you. Apply now to help build what comes next. Find Jobs in United Kingdom on Arbeitnow