Senior Staff Tech Lead Manager, Simulator Efficiency

Waymo; San Francisco (CA); Sur place; USD 281 000 - 356 000; Plein temps

Avantages offerts par ce poste

Discretionary annual bonus program

Equity incentive plan

Company benefits program

Résumé du poste

Waymo LLC is seeking a technical leader for the Simulator Platform to guide efficiency efforts across the stack. You will optimize architecture and resource use, from low‑level optimization to high‑level configuration, to scale the Waymo Driver simulations on data centers.

You will lead performance initiatives, coordinate with evaluation and infrastructure teams, and drive roadmaps for high‑throughput, low‑latency simulations using C++ and GPU/TPU accelerators.

Qualifications

• BS/MS in CS, EE, robotics, physics, math, or equivalent experience.
• 6+ years on large scale or high complexity systems.
• Proven track record leading technical vision and roadmaps.
• Excellent communication with leadership and cross‑functional teams.
• Proficient in C++ and performance optimization.

Responsabilités

• Develop simulator architecture improvements and frameworks for performance.
• Evolve compute usage to scale simulations in data centers.
• Collaborate to identify and fix bottlenecks across the stack.
• Design and optimize simulator for high throughput and compute utilization.
• Develop high scale performance evaluation, debugging, and change management.
• Optimize resource usage across CPU, GPU, and TPU.

Connaissances

C++

Leadership

Communication

Performance optimization

Distributed systems

Hardware acceleration

Formation

BS/MS in CS/EE/Robotics/Physics/Math or equivalent

Outils

CUDA

SIMD

TPU

Description du poste

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. The Simulator platform is complex and evolving. To ensure that Waymo's Simulation and Evaluation system can scale with new developing Simulation technologies as well as Waymo's growth, this technical leadership role will look across multiple teams and guide strategy for the entire Simulator software stack. This can be everything from low-level optimization up through higher level configuration, all with an eye towards improved utilization across various resources (CPU/RAM/TPU/GPU). You will lead the Simulator Platform's efficiency efforts and represent the team in wider Waymo performance-related efforts.

You Will

• Develop Simulator's architecture improvements and frameworks that maximize performance and compute utilization.
• Evolve compute usage of simulation to enable continued scaling where the system runs efficiently in our data centers.
• Collaborate with evaluation and infrastructure teams to identify and improve compute performance bottlenecks across the stack
• Design, build, and optimize the simulator to enable high throughput and high compute utilization for both single instance simulation and large scale simulations.
• Developing necessary high scale performance evaluation, debugging and software change management processes
• Optimizing system resource usage to simulation at scale: minimizing CPU utilization and latency, minimizing RAM consumption, intelligently determining which computations should happen on CPU, GPU, and TPU.

You Have

• BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
• 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.
• 6+ years experience on large scale or high complexity system
• Solid software management experience in infrastructure/systems/performance domain optimizing end to end system for high performance metrics
• Extensive experience acting as technical lead in performance/software infrastructure domain
• Proficient in C++
• Define roadmap/portfolio of projects optimizing for end results overall across all aspects of the problem space
• Setup collaboration structures across team boundaries

We Prefer

• Experience in robotics
• Experience in low level optimization techniques, frameworks (SIMD/CUDA) and ML performance/frameworks
• Experience in large scale evaluation techniques/data science and building performance metrics/tooling
• Experience in large scale software re-architecture projects

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$281,000—$356,000 USD