Waymo
Waymo

60 Waymo Operations Program Manager Jobs Hiring Near You

Lead Technical Program Manager, Simulation

San Diego, CA · On-site +1

$137K - $177K/yr

Waymo's Technical Program Managers and Program Managers are accountable for Waymo's roadmap ... In the face of complex technical and operational challenges with no established playbooks to follow ...

Waymo Operations exists to deliver the Waymo Driver to the world. We are a global team building and ... Experience leading onboarding programs or managing "Change Control" during rapid scaling phases.

Event Security Program Manager

Tempe, AZ · On-site

$123K - $150K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Review event operational plans and provide formal risk-mitigation recommendations to ensure the ...

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Waymo Jobs Information

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.
Infographic showing various Operations Program Manager job openings at Waymo in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Remote job distribution.
Senior Technical Program Manager, Simulation

Senior Technical Program Manager, Simulation

Waymo

Mountain View, CA • On-site

Full-time

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 Driverâ„¢-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.
This role follows a hybrid work schedule and reports and you will report to a Director of Technical Program Management.
You will:
  • Program Execution: Own and drive the execution of large, cross functional programs within the Simulation and ML Evaluation domain, translating technical roadmaps into structured project plans
  • 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
  • Dependency & Risk Management: Proactively identify, track, and mitigate technical dependencies, risks, and blockers across onboard software and offboard infrastructure teams
  • Technical Judgment: Exercise strong technical judgment to contribute to tool/platform design discussions, evaluate architectural trade offs, and ensure deliverable quality
  • Operations & Release Coordination: Coordinate releases, manage tool deployment, and oversee triage workflows for simulation platforms to ensure high reliability and usability for developer teams
  • Process Scaling: Identify systemic bottlenecks in the offline evaluation loop and implement process or tooling improvements to scale simulation capabilities and efficiency

You have:
  • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • TPM Experience: 3+ years of experience as a Technical Program Manager in a software engineering or large scale infrastructure environment
  • ML Experience: 2+ years of experience managing technical projects involving machine learning infrastructure, model training/evaluation loops, or ML data pipelines
  • Program Ownership: Proven track record of owning and driving complex technical programs end-to-end, managing timelines, risks, and dependencies across multiple stakeholders
  • Technical Judgment: Strong technical judgment with the ability to engage in design discussions with engineering leads and analyze technical trade offs
  • Communication: Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both research and infrastructure teams

We prefer:
  • MLOps & Tooling: Experience with ML frameworks (JAX, PyTorch) and cloud based ML training/evaluation platforms
  • ML Based Simulation: Familiarity with advanced simulation technologies, including ML based scene generation (e.g. NeRF, Gaussian Splatting, Diffusion, etc.) and reactive agent modeling
  • Simulation: Familiarity with autonomous system simulation, log playback infrastructure, or closed-loop model validation strategies
  • Data Management: Experience with large scale dataset management, data validation frameworks, or unified data solutions
  • Developer Platforms: Experience building or managing developer tools or platforms that simplify complex developer workflows
  • AV Domain Knowledge: Prior experience in the autonomous vehicle industry or robotics, understanding onboard/offboard dependencies
  • Advanced Degree: Master's degree in a technical field, ideally related to AI/ML

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
$196,000-$242,000 USD