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Software Engineer Summer Intern, AI Compute Libraries & Performance 2027

Graphcore · Bristol, England · Posted 17 days ago

onsiteic
C++PythonCGEMMProfilingMicrobenchmarkingLinear algebraNumerical methods

Help AI models run faster on Graphcore's next-generation hardware by building compute kernels like GEMM and convolutions in C++ during a 12-week summer internship.

Location: Bristol, UK Salary: £2500 per month Start date: June 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline.

The Internship Programme at Graphcore

Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice and help shape what we’re creating. Along the way, you’ll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence.

Use your programming skills and curiosity to help AI models run efficiently on next-generation Graphcore hardware.

In AI Compute Libraries & Performance, you’ll contribute to C++ libraries and compute kernels for machine learning workloads. Your work will include:

  • Developing compute kernels: Implement and improve operations such as matrix multiplication (GEMM), convolutions, reductions, elementwise operations and fused kernels that combine multiple operations.
  • Understanding and improving performance: Use profiling and microbenchmarks to measure execution speed and investigate how threading, cache locality, memory layout and kernel launch efficiency affect performance.
  • Checking correctness and reliability: Build regression tests and numerical checks, investigate issues and improve the quality of the libraries our customers use.

Through these projects, you’ll develop practical experience connecting numerical computing with how code runs on hardware, helping deliver software that is fast, accurate and reliable.

Your team and support

You’ll join a team building high-performance compute libraries that help customers get more from Graphcore hardware. Our work brings together machine learning, numerical computing and accelerator performance, with colleagues sharing their expertise to solve engineering problems.

…

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