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Engineering Manager, Onboard Execution Performance

Zoox

Zooxzoox.com

Engineering Manager, Onboard Execution Performance

Posted 3 months ago

This job is still taking applications, but it's been up a while.

About the job

Zoox develops fully autonomous vehicles and related technology, focusing on robotics, machine learning, and design. This role leads a team optimizing onboard software performance and resource utilization to meet latency and safety goals in autonomous driving.

Requirements

  • Proficiency with C++ & concurrent systems
  • Deep knowledge of Linux and GPU execution
  • Experience managing software teams
  • Cross-functional collaboration skills
  • Strong leadership abilities

Qualifications

  • BS in computer science or related field
  • Experience with GPU frameworks like CUDA
  • Shipped real-time autonomy or robotics software
  • Debugging and optimizing GPU/CPU kernels
  • Experience in high-performance computing

Full job description

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.


    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.

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