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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.
At Graphcore, we’re building the future of AI compute.
We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.
As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.
To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.
We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
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.
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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
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)
Developing AI compute hardware and software infrastructure.
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