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Zoox

Robot type
Autonomous Vehicle
Location
Foster CityCaliforniaUSA
Job type
Software
Posted
Apr 17, 2026
Salary
$237,000–$322,000 a year
Full-time

Engineering Manager, Onboard Execution Performance

Job description

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.

Zoox is building the world's most advanced self-driving hardware and software solution.

Job responsibilities

  • 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.

Job requirements

  • 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
  • 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

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