Senior Staff Tech Lead Manager (Simulator Efficiency)

Join Waymo, the leading autonomous driving technology company. As a Senior Staff Tech Lead Manager, you will lead the Simulator Platform's efficiency efforts, develop architecture improvements, and collaborate with various teams to enhance compute performance. You will have the opportunity to work on cutting-edge technology and make a significant impact in the field of autonomous driving.

• Lead the Simulator Platform's efficiency efforts and represent the team in wider Waymo performance-related efforts.
• Develop Simulator's architecture improvements and frameworks that maximize performance and compute utilization.
• Collaborate with evaluation and infrastructure teams to identify and improve compute performance bottlenecks across the stack.

• Setup collaboration structures across team boundaries
• Proven track record of setting technical vision, driving multi-quarter roadmaps, and delivering impactful data projects as a technical lead for senior engineering teams, with demonstrated ability to influence across organizational boundaries
• Excellent communication skills, with the ability to articulate complex technical designs, trade-offs, and strategies to diverse stakeholders, including senior leadership and partner engineering, data scientists, and product teams
• Proficient in C++
• 6+ years experience on large scale or high complexity system
• Define roadmap/portfolio of projects optimizing for end results overall across all aspects of the problem space
• Extensive experience acting as technical lead in performance/software infrastructure domain
• BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
• Solid software management experience in infrastructure/systems/performance domain optimizing end to end system for high performance metrics
• Experience in robotics
• Experience in low level optimization techniques, frameworks (SIMD/CUDA) and ML performance/frameworks
• Experience in large scale software re-architecture projects
• Experience in large scale evaluation techniques/data science and building performance metrics/tooling