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.
About the job
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++, GPU, Cpu, Nsight Systems, Perfetto, Parallel Programming, Ml Models, Ampere, Blackwell, Concurrent Execution
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