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    6 Principal, SMTS - Markham, ON, Canada - Huntech USA LLC

    Huntech USA LLC
    Huntech USA LLC Markham, ON, Canada

    2 weeks ago

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    Description

    Our client is an established team of 30 ML compiler experts who research, develop and ship the AI compiler for billions of deployed mobile, automotive, AR/VR, IOT and laptop ML execution engines.

    They seek engineers with strong background in algorithms, compilers and/or graph theory who are proficient with contemporary software development flows and are eager to explore/transition into the area of Machine Learning compilers, infrastructure for high performance inference and training tools, Pytorch graph optimizations and AI acceleration software stacks.

    Your Software development or Algorithmic work experience or Compiler Optimization experience or hands on Deep Learning experience would be a good fit with our best customer where I am dealing directly with a highly responsive hiring VP.

    You would be involved in driving the development of their ML software stack, enhance the performance of the ML compiler and contribute to future evolution of their AI SW/HW solutions.

    Team has freedom to work on a broad set of problems spanning full stack design, software architecture, algorithm development, kernel optimization, performance modeling and hardware accelerator architecture/design.

    The team is now growing into new areas such as Pytorch graph optimizations, on-device training and LLM fine-tuning/personalization while continuing to innovate and deliver new compiler optimization algorithms/code.

    For senior members, we are seeking team leads that have a record of mentoring capable junior engineers so that they can fulfill their potential.

    Invent, critique and analyze alternative technical and schedule options to reach consensus-driven team plans.

    Define and implement efficient compiler algorithms that Map ML workloads to HWAnalyze ML/AI workload performance and power on HW and determine cost-effective methods of improving these metrics.

    Create and drive flow to monitor evolving on-silicon performance to discover, root-cause and remedy discrepancies.

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