Sr. Staff Systems Engineer, Perception-Planner Risk

What you'll do

• Develop statistical models and workflows to evaluate end-to-end risk across current and counterfactual sensor suites.
• Apply risk analysis to rare events and support perception hardware/software trade studies and performance requirements.
• Collaborate across engineering and safety teams, communicate findings, and improve risk assessment from verification and validation results.

What they ask for

• Bachelor’s or higher degree in computer science, math, physics, engineering, or a related field.
• 10+ years of engineering experience delivering high-stakes technical roadmaps and business-critical systems.
• Experience using AI productivity tools for analysis and workflow development.
• Proficiency in vehicular robotics, Python or C++ software development, statistical or predictive modeling, and experimental design; deep technical knowledge of at least two specified areas: modern perception ML, quantitative risk estimation using simulators, or systems engineering.

Nice to have

• Master’s with thesis or PhD in machine learning, statistics, robotics, or a related quantitative field.
• Autonomy driving industry experience, large-scale infrastructure testing, or production safety-critical system deployment.

Pay

$272,000—$336,000 USD base salary

Tools

Python, C++, ML, simulators, sensors-in-loop

AI focus

Uses AI productivity tools for analysis and workflow development; assesses risk for perception systems, including modern ML techniques and large end-to-end models.