Systems Engineer, Insights and Analytics (SDS Trucking)
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own insights, analytics, and development metrics for the autonomy trucking team. You'll analyze driving data to understand system performance, identify areas for improvement, and guide engineering decisions. You'll combine data analysis, statistical reasoning, and systems engineering to shape development, support V&V, and inform launch readiness.
Requirements
- 3+ years of experience in data science, data engineering, systems engineering, V&V, or a related role in ADAS, autonomous driving, 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 and data visualization
- Experience defining and reporting metrics that drive decisions
- Ability to read production code (Python, C++, or similar)
- Strong systems engineering fundamentals: requirements, functional decomposition, architecture, and test planning
- Experience with V&V for ADAS/AD or robotics
- Working knowledge of fault management and AV stack components
- Strong communication skills
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
- 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
- Translate requirements into measurable metrics and evaluation criteria with systems engineers
- 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
Benefits
- Equity