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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.
This role follows a hybrid work schedule and you will report to a Systems Engineering Lead.
You will:
- Identify opportunities to improve Waymo Driver performance. Help the company take action on your unique insights
- Evaluate in-conflict driving behaviors – at both event and aggregate levels – that can be used to drive software, architectural, or other system improvements
- Improve the accuracy and efficiency of triage pipelines, and scale them through automation initiatives, including applied ML and other advanced software automation tools and techniques
- Research changes in normative driving expectations in new markets, including international, and deliver insights into how evaluation and behavioral strategies may need to evolve as Waymo scales globally
You have:
- 5+ years of experience in tech, automotive, bio, systems engineering, data science, or other relevant fields where you have demonstrated your impact – we are looking for someone with a proven track record of excellent work on complex topics
- Experience working with data at large scale
- Enough coding experience to be self-sufficient in building and maintaining data analytics tools and pipelines (Python and SQL are required)
- Solid physics and mathematics fundamentals
- A passion for reducing and eliminating injuries and fatalities on the world’s roadways
We prefer:
- Working with large crash safety databases
- ML for workflow automation, including VLMs and LLMs
- ML / AI safety and testing safety critical ML systems
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.
Waymo Mountain View, California, USA Office
1600 Amphitheatre Pkwy, Mountain View, CA, United States, 94043
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