ML System Performance Engineer

Cambridgeshire, England


£80,000-£120,000 DOE, hybrid working, bonus scheme & more!


ML System Performance Engineer

I am seeking an experienced ML System Performance Engineer who has a track record of using ML models to carry out performance analysis on NPUs, CPUs or GPUs and to be based in Cambridge working on a hybrid basis. Must have a track record of utilising ML models to investigate simulators for system performance analysis. E.g., bottlenecks, latency, workload analysis, changes and debugging.

Primary Responsibilities

Working closely with the modelling and performance team to apply ML models to investigate simulations and carry out performance analysis on NPUs (Neural Processing Unit).

Required Experience
  • Masters or PhD in Computer Science, Electronic Engineering or similar.
  • At least 4 years of industry experience working with ML models for system performance analysis.
  • Strong background with CNN and Transformer Architecture.
  • Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python.
Desired Experience
  • Industry experience at leading NPU, CPU, GPU, semiconductor manufacturer.
  • Knowledge of system modelling/simulation technology, such as SystemC, Gem5, Simics, QEMU etc.
What’s on offer
  • Competitive Salary (£80k-120k)
  • Hybrid working (1-2 day’s onsite minimum, preference for more on-site if local)
  • Annual Bonus
  • 25 days holiday
  • And more!
Please contact Chris Wyatt for more information

Apply now