Systems Engineer Hybrid
2 weeks ago
Job Description 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. bottlenecks, latency, workload analysis, changes and debugging.
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).
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.
Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python.
Industry experience at leading NPU, CPU, GPU, semiconductor manufacturer.
Hybrid working (1-2 day’s onsite minimum, preference for more on-site if local)
Annual Bonus
25 days holiday
This is a great opportunity for a ML System Performance Engineer. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in Cambridge, UK.
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