Engineering Manager (Compute Optimization)

Join Zoox, a company dedicated to revolutionizing transportation through autonomous vehicles. As an Engineering Manager in the Compute Optimization team, you will lead a specialized group of software performance engineers in optimizing on-bot software runtime. This high-impact role requires cross-functional collaboration and a focus on efficient compute utilization. You will manage a team of 4-6 engineers, achieve alignment on compute resource allocations, and build self-service frameworks for performance optimization. Enjoy a range of benefits, including paid parental leave, health insurance, and a supportive work environment.

• Lead a specialized team of software performance engineers to optimize on-bot software runtime and ensure efficient compute utilization across the organization.
• Manage cross-functional optimization efforts to achieve strict system response (latency) targets and align compute resource allocations with cross-functional leaders.
• Hire, grow, and develop talent in the realm of performance optimization, and build self-service frameworks to enable quick iteration optimization loops for individual engineers.
• Prior experience managing teams of three or more FTE software engineers
• Deep knowledge and understanding of CPU and recent GPU microarchitectures (e.g. Ampere, Blackwell)
• Proven track record of cross-functional collaboration and leadership alignment
• Proficiency with C++ & concurrent execution (parallel) programming frameworks
• BS in computer science, computer engineering, or related field
• Experiencing debugging and optimizing CPU, GPU kernels, and ML models using tools like Nsight Systems and Compute, Perfetto or similar compute observability tools
• Have shipped real-time or near-real-time software autonomy or robotics software in production
• You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills
• Experience in robotics, aviation, automotive, or high-performance computing space