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ZooxZooxFoster City, CA

Engineering Manager, Compute Optimization

Leads a team of 4-6 engineers optimizing on-bot autonomy software performance for latency and power efficiency. Requires BS in CS/CE, C++ proficiency, deep CPU/GPU knowledge, and prior experience managing 3+ engineers.

245k – 307k/yr
HybridEngineering Management

About the role

Responsibilities

  • Manage a team of 4-6 engineers focused on optimizing the software performance of the on-bot autonomy software stack.
  • Lead cross-functional optimization efforts with the goal of hitting strict system response (latency) 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 frameworks that shifts performance optimization left to developers so that individual engineers can have quick iteration optimization loops.

Qualifications

  • BS in computer science, computer engineering, or related field
  • Proficiency with C++ & concurrent execution (parallel) programming frameworks
  • Deep knowledge and understanding of CPU and recent GPU microarchitectures (e.g. Ampere, Blackwell)
  • Proven track record of cross-functional collaboration and leadership alignment
  • Prior experience managing teams of three or more FTE software engineers

Bonus Qualifications

  • 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
  • Experience debugging and optimizing CPU, GPU kernels, and ML models using tools like Nsight Systems and Compute, Perfetto or similar compute observability tools

Skills

C++GPUCpuNsight SystemsPerfettoParallel ProgrammingMl ModelsAmpereBlackwellConcurrent Execution
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