Drimva

Waymo

Technical Program Manager - Onboard Systems, ML Modeling

$159K–$196K

Mountain View, CA, USA +3 · Manager · Full-time · Posted Sep 17, 2026

Location
Mountain View, CA, USA
San Francisco, CA, USA
Mountain View, California, United States
San Francisco, California, United States
Experience
5+ years as a Technical Program Manager in a software engineering environment.
Education
Bachelor's degree in Computer Science, Engineering, or a related technical field.

About the job

Leads cross-functional planning and delivery of onboard machine-learning programs, including Waymo’s Foundation Model roadmap.

What you'll do

  • Coordinate project execution, schedules, milestones, risks, dependencies, and mitigation strategies across engineering, research, product, and release management.
  • Track and report program progress, risks, and KPIs to stakeholders and leadership; resolve roadblocks across organizational boundaries.
  • Contribute to strategic planning, objectives, and the technical roadmap for the Waymo Foundation Model program.

What they ask for

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience as a Technical Program Manager in a software engineering environment.
  • Track record managing complex technical projects involving machine learning and/or AI.
  • Experience with machine learning models, training pipelines, or evaluation frameworks.

Nice to have

  • Experience with LLMs, vision language models, generative AI, diffusion models, large-scale model training, or related data preparation.
  • Experience in 3D computer vision, sensor fusion, cloud-based ML platforms, autonomous-systems simulation, or model evaluation.

Pay

$159,000–$196,000 USD base salary

Tools

machine learning models, training pipelines, evaluation frameworks, large language models (LLMs), vision language models, generative AI, diffusion models, NeRF

AI focus

Program management for onboard machine-learning work, including the Waymo Foundation Model program; experience managing ML/AI projects and models, training pipelines, or evaluation frameworks is required.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)