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# Software Engineer - AI Compute Libraries & Performance

- **Company:** Graphcore
- **Location:** Bristol, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Basic Linear Algebra Subprograms, C++ (Programming Language), Profiling, Software Debugging, Linux, Python (Programming Language), Regression Testing, Pytorch, Hardware Acceleration
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-ai-compute-libraries-performance-graphcore-9561750

## About the Role

* 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)

## Description

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., * 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


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