Systems Engineer, Insights and Analytics (SDS Trucking)

Job description

Job responsibilities

• Define development and autonomy performance metrics, and implement them in code against fleet, test, and simulation data
• Build data pipelines, analyses, and tools using Python, SQL, or similar technologies to turn large datasets into insights on performance, gaps, and launch readiness.
• Track metrics over time, catch regressions early, and guide engineering priorities with data
• Read autonomy stack code to trace system behavior back to requirements and root causes
• Work with systems engineers to translate requirements into measurable metrics and evaluation criteria.
• Drive verification and validation across simulation, closed-course, and on-road testing
• Build dashboards and readiness views for engineering leadership and customers
• Collaborate across autonomy, perception, hardware, safety, and test teams

Job requirements

• 3+ years of experience in data science, data engineering, systems engineering, V&V, or a 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) well enough 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 a solid understanding of AV stack components