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Senior/Staff Software Engineer, Behavior Verification

Develops and implements Python-based metrics to verify end-to-end driving behavior of autonomous vehicles, ensuring safety using ML models and simulations. Requires 5+ years experience, Python/C++ proficiency, and robotics knowledge.

176k – 320kMountain View, CAQA EngineeringOnsite5+ YOE

About the role

About the Work

  • Develop and implement in Python generalizable metrics to verify the driving behavior of an autonomous vehicle.
  • Leverage a combination of machine learning (ML) models and safety metrics from literature to evaluate the end-to-end driving behavior.
  • Evaluate these metrics on a variety of tests: synthetic and log simulation, on-road logs, closed-course testing data, and third-party accident reconstructions.
  • Collaborate closely with Systems, Behavior, Perception, Data Science, Product, Legal and Public Trust teams to develop acceptance criteria for metrics and tests.
  • Partner with simulation infrastructure and test integration teams to set up automated verification workflows.
  • Generate detailed performance and validation reports to prove that the behavior of the autonomous system is safe to deploy in our target Operation Design Domain (ODD).

About You

  • 5+ years of technical work experience in a relevant area with 3+ years of experience with software development.
  • Hands-on software experience, with the ability to code proficiently in Python or C++.
  • Bachelor’s Degree or Master’s Degree in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.
  • Strong understanding of robotic systems architecture - how sensing, localization, perception, prediction, behavior, and control modules interact.
  • Familiarity with simulation and real-world testing of autonomous systems.
  • Highly collaborative in nature, with strong abilities to think and communicate analytically and effectively.

Bonus Points

  • Background in autonomous vehicles ideally with developing software for L4 autonomous.
  • Prior experience building computational models for driving behavior or ML based metrics for behavior evaluation.

Compensation

Base pay range: $176,400 - $319,720. Eligible for annual performance bonus, equity, and competitive benefits package.

Skills

PythonC++Machine LearningAutonomous VehiclesSimulationRoboticsBehavior PlanningPerceptionPredictionSafety Metrics

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