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Zoox
Zoox

Engineering Manager, Performance Optimization

Foster City, California, U.S.
Full-Time
Hybrid
$237,000 – $322,000 per year

TLDR

Optimize on-bot autonomy software runtime, coordinating CPU/GPU/Memory/accelerator resources to meet latency and safety goals.

Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels. 


The Software Performance team keeps the main onboard computer healthy and performant to ensure that our on-bot autonomy software meets its latency targets while also accommodating its safety goals. We are responsible for the efficient allocation of onboard compute resources (CPU/GPU/Memory/accelerators) ensuring contention is minimized and the autonomy stack executes harmoniously.


As the Onboard Execution team leader within the Performance team,  you will lead a highly specialized team of software performance engineers in aggressively optimizing on-bot software runtime. This is a high impact role that sits at the intersection of ML Platform, Core, and Autonomy Software - ensuring that efficient compute utilization is a central tenet emphasized across the organization. 

In this role, you will:

  • Manage a team of 8-to-10 engineers focused on optimizing the software performance of the on-bot autonomy software stack.
  • Partner with Autonomy, ML Platform, Middleware, Sensors, and Hardware Architecture teams to meet strict system response (latency) and compute utilization targets.
  • Achieve alignment between cross-functional leaders across the Software organization on compute resource allocations and budgets.
  • Hire, grow, and develop talent in the realm of performance optimization.
  • Build self-service force-multiplier frameworks & workflows that empower developers to deliver efficient & performant software.

    • Qualifications

  • BS in computer science, computer engineering, or related field
  • Proficiency with C++ & concurrent (parallel) execution systems
  • Deep knowledge and understanding of the Linux operating system and GPU accelerated execution
  • Proven track record of cross-functional collaboration and leadership alignment
  • Prior experience managing teams of five or more full-time software engineers

    • Bonus Qualifications

  • Hands-on experience with GPU runtime frameworks (CUDA, TensorRT, or XLA)
  • Experience in robotics, aviation, automotive, or high-performance computing space
  • Have shipped real-time or near-real-time software autonomy or robotics software in production
  • Experiencing debugging and optimizing CPU, GPU kernels, and ML models using tools like NVIDIA Nsight Systems and
  • Compute, Perfetto or similar compute observability tools 

    • 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.

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    Accommodations

    If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.

    Benefits

    Equity Compensation

    Amazon Restricted Stock Units (RSUs)

    Health Insurance

    life insurance

    Paid Time Off

    unpaid time off

    Stock Options

    Zoox Stock Appreciation Rights

    Zoox
    Zoox

    Zoox is building a fully autonomous vehicle fleet from the ground up, coupled with the ecosystem necessary to launch this technology into urban environments. By integrating robotics, machine learning, and innovative design, Zoox is paving the way for a new era of mobility-as-a-service.

    Founded
    Founded 2014
    Employees
    500+ employees
    Industry
    Automotive
    Total raised
    $990M raised
    View company profile
    Engineering Manager