Pure Resourcing Solutions is sourcing a Senior Performance Engineer for a Cambridge-based AI infrastructure role with a hybrid working pattern. You will extract live metrics from training/inference runs to build models that forecast cost savings and performance gains.
The role requires strong skills in GPU/accelerator optimisation, LLM/DL hardware understanding, and proficiency with profiling and monitoring tools. A degree in CS/math is expected, with Python data tooling as a plus.
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For the Senior AI Infra Performance Engineer – Hybrid position at Pure Resourcing Solutions, we are reviewing applications now.
The position is based in Cambridgeshire and Peterborough, England, United Kingdom.
This opportunity is part of our work in Engineering.
The advertised compensation is 90.000 - 120.000.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.