Role at a glance
- Salary
- Not Disclosed
- Location
- Mountain View, California, United States San Francisco, California, United States
- Employment
- Full-time
- Education
- Bachelor's, PhD
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About the role
Original posting provided by Waymo
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 Driver™—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 Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.
You will:
- Lead and manage the Behavior Test Engineering’s Collision Avoidance Testing Team, including hiring, setting OKRs, guiding work, and developing your report's careers
- Interface with key stakeholders from Planner, Perception, Systems Engineering and Safety Engineering executives on the Collision Avoidance Testing framework and desired AV behavior
- Work with Waymo’s simulation team on the latest cutting-edge sim technology and how it can be integrated into collision avoidance testing
- Lead technical work — work with your team, and simulation and tooling teams to develop and set the technical direction and architectural guidelines for Waymo's long-tail behavioral testing suite, ensuring it is scalable, maintainable, and extensible
You have:
- A Bachelor's degree in a relevant field
- Strong leadership and communication skills, with experience navigating a critical space
- The ability to lead a technical engineering team and deliver impact while managing the team effectively
- 4+ years of management experience
- 10+ years of industry experience in a related field
- Demonstrated ability to build testing programs that scale
- Basic fluency in Python or C++
We prefer:
- MS or PhD Degree in Engineering, Robotics, Computer Science or a similar discipline
- Strong engineering fundamentals in Physics (mechanics) and/or Computer Science
- Prior AV Experience
- Experience with safety critical systems
- A passion for robotics or autonomous vehicles
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.
About the company
Waymo
Large Enterprise
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.