Workplace
On-site
Employment
Part-Time
Published
Aug 11, 2026
Closes
No date supplied
The role
About the job
Make PyTorch feel native, powerful and production-ready on Graphcore AI compute.
You will help build the software layer that connects Graphcore accelerators with state-of-the-art machine learning frameworks. Your work will shape how ML engineers and researchers use our hardware in real workloads.
You will design features, improve performance, maintain core code, and support users working at the frontier of AI. You will work deeply in PyTorch, with scope to contribute across other frameworks as the landscape evolves.
This is a role for engineers who enjoy hard technical problems and open-ended ownership. You will influence architecture, quality and direction while helping Graphcore unlock the next generation of AI breakthroughs.
The team and culture
The Frameworks team makes Graphcore hardware work seamlessly with the tools ML engineers already use, including PyTorch, Triton, JAX and TensorFlow. Work happens through agile practices, clear technical debate and close links with hardware, software and open-source teams.
You will join a Scrum team that owns features from design through delivery, performance, documentation and support. Engineers are expected to take responsibility, speak up early and make decisions grounded in evidence.
The team values pace without losing quality. You will be trusted to coordinate complex work, manage trade-offs and help others grow through reviews, mentoring and shared learning.
What we're looking for
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Requirements
Department: Frameworks