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What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.

What makes Waymo an attractive place to work?

Waymo is a leading autonomous driving technology company, a subsidiary of Alphabet Inc., and a pioneer in the development of self-driving cars. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for engineers and researchers to work on cutting-edge projects and contribute to the advancement of autonomous driving technology. Joining Waymo offers the chance to be part of a team that is shaping the future of transportation and mobility, with opportunities for professional growth, learning, and making a meaningful impact on society.

What other companies are hiring for Technical Lead jobs?

What are the most popular jobs at Waymo?

What are the most popular categories at Waymo?

Infographic showing various Technical Lead job openings at Waymo in the United States as of September 2026, with employment types broken down into 2% Internship, and 98% Full Time. Highlights an 70% Physical, 27% Hybrid, and 3% Remote job distribution.

Lead Technical Program Manager, Simulation

Mountain View, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

$152K - $197K/yr

Full-time

Re-posted 19 days ago

Job description

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.
Waymo's Technical Program Managers and Program Managers are accountable for Waymo's roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies.
In this hybrid role, you will report to a TPM Director.
You will:
  • Strategic Leadership & Vision: Partner with Simulation, ML Research (AI Foundations), Perception, and Planner leadership to define and drive the long term vision and strategy for Waymo's Simulation and ML Evaluation platforms
  • ML Integration: Drive the execution of programs that integrate simulation deeply into the ML development loop, establishing a seamless, reliable path for model training, offline evaluation, and validation
  • Transformational Program Delivery: Lead complex, cross functional programs to platformatize and scale evaluation infrastructure, incorporating ML based simulation and advanced technologies to accelerate developer velocity
  • Resource & Capacity Optimization: Own program resourcing, budget allocation, and capacity planning for the Simulation and Evaluation domain, forecasting future compute/infrastructure needs and optimizing utilization
  • Influence & Alignment: Navigate ambiguity and manage critical upstream/downstream dependencies across organizational boundaries, serving as a trusted technical partner to Engineering and Product leadership
  • Team Development & People Management: Build, mentor, and lead a high performing team of Technical Program Managers, fostering a culture of technical excellence, accountability, and continuous professional growth

You have:
  • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • Leadership Experience: 3+ years of experience directly managing and developing teams of TPMs or software engineers
  • ML Domain Expertise: Proven track record of managing complex technical programs involving the Machine Learning platforms (data pipelines, training, evaluation frameworks, or ML infrastructure)
  • Program Scale: Experience leading transformational, cross functional programs end-to-end, with a history of managing timelines, risks, and dependencies across senior stakeholders
  • Technical Judgment: Strong technical judgment with the ability to contribute to strategic technical direction, analyze architectural trade offs, and balance velocity vs. quality
  • TPM Experience: 10+ years of experience as a Technical Program Manager in a software engineering, large scale infrastructure, or ML environment

We prefer:
  • Advanced ML Ops: Experience with large scale model evaluation (e.g. Foundation Models, LLMs, VLMs), closed-loop simulation, and correlating offline metrics with online product performance
  • Scale Infrastructure: Experience with cloud based ML platforms, high performance computing (TPUs/GPUs), and large scale data management and validation
  • ML Based Simulation: Familiarity with advanced simulation technologies, including ML based scene generation (e.g. NeRF, Gaussian Splatting, Diffusion, etc.) and reactive agent modeling
  • Developer Platforms: Experience building or managing ML developer platforms or tooling that simplifies complex engineering stacks
  • Organizational Transformation: Demonstrated success in driving organizational change, simplifying interfaces between teams, and improving organizational efficiency
  • Advanced Degree: Master's degree or PhD in a technical field, ideally related to AI/ML or Robotics

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
$272,000-$336,000 USD

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