NPU System Performance Modelling Engineer in Cambridge, UK About Neubla As pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise … for an exceptional individual with a passion to learn about ground-breaking AI architectures and who is eager to build highly optimised models for performance and functional simulation. Performance and functional simulation are critical tools for architecture exploration, and it has been used to make many important decisions … new micro-architectural ideas and design trade-offs to shape the system features of the next generation AI accelerator by developing, verifying, and using performance models for data-driven architectural exploration and validation. Job Description Develop, test, and maintain accurate performance models for system IPs, ranging from a more »
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
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ML System Performance EngineerI 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 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 more »
