Systems Engineer, Insights and Analytics (SDS Trucking)

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions

ABOUT THE ROLE

We are looking for an experienced Systems Engineer with a strong data background to own insights, analytics, and development metrics for our SDS trucking team. You will define how we measure autonomy performance and engineering progress, then use fleet, test, and simulation data to show where the system stands and what to fix next. You will play a critical role in shaping the technical direction of our trucking program.

At Applied Intuition, you will:

- Define development and autonomy performance metrics, and implement them in code against fleet, test, and simulation data - Build analyses and tooling (Python, SQL, or similar) that turn large datasets into clear 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 - Write system requirements and define the validation strategy and roadmap to launch - 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: