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Waymo

Builds self-driving AI and runs a robotaxi service

Technical Program Manager - Onboard Systems, ML Modeling

Program ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • At least 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 artificial intelligence.
  • Experience with machine learning models, training pipelines, or evaluation frameworks.
  • Ability to convey technical concepts effectively to technical and non-technical audiences through communication, interpersonal, and presentation skills.
  • Strong analytical, problem-solving, and technical judgment skills.

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 and program progress, risks, and key performance indicators to leadership and stakeholders.
  • Contribute to strategic planning, objective setting, and the technical roadmap for the Waymo Foundation Model program.
  • Proactively identify and resolve roadblocks and dependencies, coordinating across organizational boundaries.

Desired Qualifications

  • Experience with large language models, vision language models, generative artificial intelligence, diffusion models, large-scale model training, data labeling, and data generation and packaging for model training.
  • A strong background in 3D computer vision, sensor fusion using camera and lidar, spatial reasoning, and 3D reconstruction methods such as NeRF and Gaussian Splatting.
  • Experience with cloud-based machine learning platforms and infrastructure.
  • Experience with simulation environments for autonomous systems, model validation strategies, and methods to ensure model reliability.
  • Experience with model evaluation techniques, metrics, time-series analysis, and predictive modeling using sensor data, model optimization, and scaling techniques.
  • A Master's degree or PhD in a related field.

About the Company

Waymo

Builds self-driving AI and runs a robotaxi service

Waymo builds self-driving technology and uses it to run a ride-hailing service in which passengers summon electric cars with no one behind the wheel. In 2020, it became the first company to open fully driverless rides to the public, starting in metro Phoenix. Its system, the Waymo Driver, pairs cameras, radar and laser sensors called lidar with onboard computers whose AI predicts what nearby people and vehicles will do and drives the car. Riders pay per trip through the Waymo app, or through Uber in some cities, while Waymo and fleet partners keep the cars charged and maintained. Waymo began as a Google project in 2009 and became a separate Alphabet company in 2016; it is based in Mountain View, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$32.1B
Headquarters
Mountain View, CA
Founded
2009

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