Tech Lead Manager - Autonomous Driving PUDO

Waymo

Mountain View (CA)

On-site

USD 251,000 - 310,000

Full time

7 days ago
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Job summary

Waymo is hiring for a senior software role within the Driver Refinement & Validation organization in the Mountain View area. You will report to a Technical Lead Manager and collaborate with engineers, product teams, and partners to advance the Waymo Driver across complex real-world scenarios.

The role requires advanced degrees in CS/ML/Robotics, 8+ years in software engineering, and proven leadership. Expect to contribute to scalable evaluation workflows, API design, and multi-team

Qualifications

  • PhD, Masters, or Bachelors degree in Computer Science, Machine Learning, Robotics.
  • 8+ years of Software Engineering experience in complex systems.
  • Evaluation experience with scalable eval workflows and ML metrics.
  • High-quality API design with data-driven approaches.
  • Experience solving design problems across multiple components.
  • Two or more years of management experience.

Responsibilities

  • Design and implement horizontal solutions for behavioral driving across PUDOs.
  • Build quantitative evaluation techniques to drive data-driven development.
  • Collaborate with Product and Onboard stack teams.
  • Mentor junior engineers on the team.
  • Develop foundational frameworks to advance Waymo Driver capabilities.
  • Contribute to solving challenging driving scenarios in the long tail.

Skills

Management experience
Collaboration

Education

PhD, Masters, or Bachelors in Computer Science, ML, Robotics

Tools

C++
Python
SQL

Job description

Waymo is hiring for a senior software role within the Driver Refinement & Validation organization in the Mountain View area. You will report to a Technical Lead Manager and collaborate with engineers, product teams, and partners to advance the Waymo Driver across complex real-world scenarios.

The role requires advanced degrees in CS/ML/Robotics, 8+ years in software engineering, and proven leadership. Expect to contribute to scalable evaluation workflows, API design, and multi-team

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