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Engineering Manager, ML Performance Optimization

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  • Zoox

    Engineering Manager, ML Performance Optimization

    Zoox · 🇺🇸 Foster City, CA · posted 1 day ago
    ApplyFull posting

    Extracted from the posting

    Base
    $276,000 – $343,000
    Equity
    Amazon RSUs and Zoox Stock Appreciation Rights; no percentage stated
    Remote
    On-site
    Stack
    PyTorch, JAX, CUDA, Triton

    TL;DR

    Engineering manager leading Zoox's centralized ML performance team, optimizing training and inference for multi-modal foundation models and on-vehicle latency. Scope covers distributed training, GPU utilization, quantization, and serving across Perception, Prediction, Planner, and Simulation. Stack includes PyTorch, JAX, CUDA, Triton, TensorRT, and Ray Serve.

    About Zoox →

    The full posting

    Zoox

    is on a mission to reimagine transportation and build autonomous robotaxis from the ground up that are safe, reliable, clean, and enjoyable for everyone. With bidirectional driving capabilities and four-wheel steering, our vehicle allows us to maneuver through compact spaces and change directions without needing to reverse. We are at a critical inflection point as we scale our robotaxi deployment, and it is a great time to join Zoox and have a significant impact on executing our mission.

    Our growing ML performance engineering leadership team is looking for an Engineering Manager, ML Performance Optimization. The centralized ML performance team at Zoox plays a crucial role in enabling innovations across all our ML research teams to develop and deploy models across our robotaxi and cloud infrastructure and to advance cutting-edge training and inference optimization techniques.

    The Opportunity

    We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure, and ensure these models run efficiently on our vehicles, meeting our latency targets. You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation and our Advanced Hardware Engineering group, and have the opportunity to significantly push the boundaries of ML scaling and acceleration at Zoox.

    You will lead a team of strong ML performance engineers and this team has many growth opportunities as we expand our geofences at U.S markets and venture into new ML domains. If you want to learn more about our ML Infrastructure,

    here

    is one of our past talks at re:Invent.

    In this role, you will:

      Qualifications

        About Zoox

        Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


        Follow us on LinkedIn


        Accommodations

        If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.


        A Final Note:

        You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

        Compensation: USD 276,000 – 343,000 per year salary