- Robot type
- Autonomous Vehicle
- Location
- Mountain ViewCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Sep 17, 2026
- Salary
- $159,000–$196,000 a year
Technical Program Manager - Onboard Systems, ML Modeling
Job description
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.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.
Job responsibilities
- Drive cross-functional execution and delivery of projects within the onboard team, collaborating with engineering teams, product teams and release management
- Manage project schedules, identify risks and dependencies, and develop mitigation strategies
- Facilitate communication and collaboration between engineering, research, and product teams, ensuring alignment on program goals, milestones, and technical requirements
- Track and report on project/program progress, risks, and key performance indicators (KPIs) to leadership and stakeholders
- Contribute to the strategic planning, objective setting, and technical roadmap for the Waymo Foundation Model program
- Proactively identify and resolve roadblocks and dependencies, coordinating across organizational boundaries
Job requirements
- A 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
- A proven track record of successfully managing complex technical projects involving machine learning and/or AI
- Experience with machine learning models, training pipelines, or evaluation frameworks
- Excellent communication, interpersonal, and presentation skills, effectively conveying technical concepts to both technical and non-technical audiences
- Strong analytical, problem-solving, and technical judgment skills
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