- Robot type
- Autonomous Vehicle
- Location
- Mountain ViewCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Oct 30, 2026
- Salary
- $272,000–$336,000 a year
Sr. Staff Systems Engineer, Perception-Planner Risk
Job description
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.
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…
Job responsibilities
- Define the approach for quantitative safety risk analysis across sensing and perception systems engineering, building on top of Waymo-wide risk assessment and management methodologies.
- Apply the defined approach for selected events that occur rarely or have scarce operational data. The generalized goal is to assess behavioral safety risk across a wide variety of situations like interacting with…
- Develop and prototype novel workflows to:
- Analyze to determine the required performance levels of various sensing and perception tasks
- Support trade studies to inform architectural decisions for perception hardware or software
- Estimate exposure of events relevant to perception-driven behavioral risk
- Improve quantitative rigor, standardization, efficiency of execution, and reporting of end-to-end risk from V&V test outcomes in complex contexts.
- Expand existing methodologies that are crucial for breaking into new operational design domains and addressing emergent challenges
Job requirements
- Bachelors or higher degree in computer science, math, physics, engineering, or a related field
- 10+ years of engineering experience with demonstrated delivery of high-stakes technical roadmaps that successfully resolved architectural friction and deployed business-critical systems
- Experience using AI productivity tools for analysis and workflow development
- Proficiency and experience in:
- Vehicular robotics (development or evaluation)
- Software development (Python or C++)
- Statistical or predictive modeling
- Experimental design and developing metrics for quantitative methods
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