Systems Engineer, Insights and Analytics (SDS Trucking)

We are looking for a Systems Engineer with a strong data background to own insights, analytics, and development metrics for our SDS trucking team. You’ll analyze driving data to help the self-driving trucking team understand system performance, identify areas for improvement, and make informed engineering decisions.

You will combine hands-on data analysis, statistical reasoning, and systems engineering to turn complex data into insights that shape development, support verification and validation (V&V), and inform launch readiness.

At Applied Intuition, you will:

• 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

We're looking for someone who has:

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