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