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    NPU Systems Performance Analysis Engineer - Cambridge, United Kingdom - IC Resources

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    Description

    NPU Systems Performance Analysis Engineer

    Find out more about this role by reading the information below, then apply to be considered.

    I am seeking someone experienced in Systems Performance Analysis, specifically using performance simulators to develop benchmarks and to analyse and identify bottlenecks in NPUs / AI Accelerators. Must be able to work closely with HW and SW teams to provide optimisation recommendations by understanding performance opportunities on current processor architecture. Based in Cambridge on a hybrid basis.

    Primary Responsibilities

    Using ML models to carry out performance analysis on NPUs.

    Working closely with the modelling and performance teams utilising the simulator for NPU performance analysis.

    Pinpointing problems in the HW / problems in the compiler and proposing optimisations, bottlenecks, latency etc.

    Required Experience

    Masters or PhD in Computer Science, Electronic Engineering or similar.

    At least 4 years of industry experience working on system performance analysis for NPUs / GPUs.

    Understanding of NPU (neural processing unit) hardware and software.

    Strong knowledge of CNN and Transformer Architecture.

    Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python.

    Desired Experience

    Industry experience at NPU, GPU, semiconductor manufacturers.

    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


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