Senior Staff Tech Lead Manager, Simulator Efficiency
About The Position
Waymo is an autonomous driving technology company focused on building the Waymo Driver and improving access to mobility while reducing traffic crashes. The Simulator Team develops realistic simulations used to test and train the Waymo Driver, using advanced machine-learning algorithms to measure and improve its performance. The Senior Staff Tech Lead Manager will provide technical leadership across multiple teams and guide strategy for the Simulator software stack. The role leads Simulator Platform efficiency efforts, from low-level optimization to higher-level configuration, with the goal of improving use of CPU, RAM, TPU, and GPU resources and enabling the system to scale efficiently in Waymo’s data centers. The role also represents the team in broader Waymo performance efforts. The position develops architecture improvements and frameworks, partners with evaluation and infrastructure teams to address performance bottlenecks, and builds processes for large-scale performance evaluation, debugging, and software change management. It optimizes resource use, latency, and throughput for both individual and large-scale simulations.
Requirements
- BS/MS in Computer Science, Electrical Engineering, Robotics, Physics, Mathematics, or a related field, or equivalent experience.
- At least 6 years of experience with large-scale or high-complexity systems.
- Proven ability to set technical vision, drive multi-quarter roadmaps, and deliver impactful data projects as a technical lead for senior engineering teams.
- Demonstrated ability to influence across organizational boundaries.
- Excellent communication skills and ability to explain complex technical designs, trade-offs, and strategies to senior leadership and partner engineering, data science, and product teams.
- Solid software management experience in infrastructure, systems, or performance, optimizing end-to-end systems against high-performance metrics.
- Extensive experience acting as a technical lead in performance or software infrastructure.
- Proficiency in C++.
Nice To Haves
- Experience in robotics.
- Experience with low-level optimization techniques and frameworks such as SIMD or CUDA, and with ML performance or frameworks.
- Experience with large-scale evaluation techniques, data science, and building performance metrics or tooling.
- Experience with large-scale software re-architecture projects.
Responsibilities
- Develop Simulator architecture improvements and frameworks that maximize performance and compute utilization.
- Evolve simulation compute usage to support continued scaling and efficient operation in Waymo data centers.
- Collaborate with evaluation and infrastructure teams to identify and improve compute-performance bottlenecks across the stack.
- Design, build, and optimize the simulator for high throughput and high compute utilization in both single-instance and large-scale simulations.
- Develop high-scale performance evaluation, debugging, and software change management processes.
- Optimize system resource usage for simulation at scale, including CPU utilization, latency, RAM consumption, and decisions about which computations should run on CPU, GPU, or TPU.
- Set technical vision, drive multi-quarter roadmaps, and define portfolios of projects that optimize overall outcomes.
- Establish collaboration structures across team boundaries and represent the team in broader Waymo performance efforts.
Benefits
- Discretionary annual bonus program, subject to eligibility requirements.
- Equity incentive plan, subject to eligibility requirements.
- Company benefits program.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
