Waymo

Waymo

Posted via Greenhouse

Senior Staff Tech Lead Manager, Simulator Efficiency

Posted Aug 5, 2026

Role at a glance

Salary
$281K – $356K/yr
Location
Mountain View, California, United States San Francisco, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
6+ years experience on large scale or high complexity system
Education
BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)

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Role Summary

AI-generated

The Simulator Team builds simulations of realistic environments for testing and training the Waymo Driver. This technical leadership role guides strategy across the Simulator software stack, leading efficiency and compute-utilization efforts across CPU, RAM, TPU, and GPU resources to support simulation at scale.

What You'll Do

  • Develop Simulator architecture improvements and frameworks that maximize performance and compute utilization.
  • Evolve simulation compute usage to enable continued scaling in 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, high-compute-utilization single-instance and large-scale simulations.
  • Develop high-scale performance evaluation, debugging, and software change management processes.
  • Optimize CPU utilization, latency, RAM consumption, and the allocation of computations across CPU, GPU, and TPU.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BS/MS in Computer Science, Electrical Engineering, Robotics, Physics, Mathematics, or a related field, or equivalent experience; proven technical leadership and roadmap ownership; excellent communication skills; 6+ years of experience with large-scale or high-complexity systems; software management experience in infrastructure, systems, or performance optimization; experience as a technical lead in performance or software infrastructure; proficiency in C++.

Required

  • 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...
  • Excellent communication skills
  • 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++

Preferred

  • 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

Original job description

Content provided by the employer

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
Waymo

About the company

Waymo

Large Enterprise

Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.