Systems Engineer, Insights and Analytics (SDS Trucking)

Highlights

• Own autonomy performance metrics for self-driving trucking development.
• Turn fleet, test and simulation data into insights guiding launch readiness.
• Drive V&V across simulation, closed-course and on-road testing.

What they offer

• Equity

Ideal candidate

Data-minded systems thinker with autonomous vehicle experience who loves turning complex driving data into clear insights that guide engineering decisions and launch readiness.

Requirements

• 3+ years of experience in data science, data engineering, systems engineering, V&V, or related role in ADAS, autonomous driving (L2–L4, L4 preferred), or robotics
• MS/BS in Systems, Electrical, Mechanical, Computer Science, Robotics, Data Science, or equivalent
• Hands-on experience analyzing large datasets with Python and SQL, including statistical analysis, data visualization, and interpreting variability and uncertainty
• Experience defining and reporting metrics that drive decisions on a development program
• Ability to read production code (Python, C++, or similar) to trace behavior through an autonomy or robotics stack
• Strong systems engineering fundamentals: requirements, functional decomposition, architecture, and test planning
• Experience with V&V for ADAS/AD or robotics, including defining what is sufficient for launch
• Working knowledge of fault management and AV stack components
• Strong communication skills for explaining data-driven findings to engineers, leadership, and customers