Engineering Manager, Onboard Execution Performance
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Key skills for this role
Key Skills for This Role
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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, an Amazon subsidiary, develops purpose-built autonomous robotaxis designed from the ground up for rider comfort without a traditional driver's seat.
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