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 ResponsibilitiesWorking 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 ExperienceMasters 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 ExperienceIndustry experience at leading NPU, CPU, GPU, semiconductor manufacturer.Knowledge of system
modelling/simulation
technology, such as SystemC, Gem5, Simics, QEMU etc.What’s on offerHybrid working (1-2 day’s onsite minimum, preference for more on-site if local)Annual Bonus25 days holidayAnd more!Interested? 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.Send me alerts about jobs like this.Please enter your email address to continue setting up an email alert for similar jobs to this one. By entering your email address and clicking apply you will sign up to Jobs4 and agree to our terms and conditions .
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