5+ years of experience in systems engineering, V&V, data science, or related roles in ADAS or robotics
MS/BS in Systems, Electrical, Mechanical, Computer Science, Robotics, Data Science, or equivalent
Hands-on experience with Python and SQL for analyzing large datasets
Proven ability to define and report metrics that influence development decisions
Proficient in reading production code (Python, C++, etc.) to trace system behavior
Strong fundamentals in systems engineering: requirements, functional decomposition, architecture, and test planning
Experience with V&V for ADAS/AD or robotics, including launch criteria
Knowledge of fault management and AV stack components
Responsibilities
Define development and autonomy performance metrics and implement them in code
Build analyses and tooling to convert large datasets into actionable insights
Track metrics over time to identify regressions and guide engineering priorities
Read autonomy stack code to trace system behavior back to requirements
Write system requirements and define validation strategies for launches
Drive verification and validation across various testing environments
Create dashboards and readiness views for engineering leadership and customers
Collaborate with teams across autonomy, perception, hardware, safety, and testing
Benefits
Collaborative work environment with cross-functional teams
Opportunity to shape the technical direction of autonomous trucking
Access to cutting-edge technology and data analytics tools
Engagement in meaningful projects that impact the future of transportation
Encouragement for diverse candidates to apply, fostering an inclusive workplace
Full Job Description
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:
5+ years of experience in systems engineering, V&V, data science, 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 statistics and data visualization
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
Strong communication skills for explaining data-driven findings to engineers, leadership, and customers
Nice to have:
Autonomous trucking, off-highway, or off-road autonomy experience.
Simulation-based validation and scenario-based testing
Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
About Applied Intuition
Applied Intuition is a software company that provides a simulation platform for autonomous vehicles. The platform allows developers to test and validate their autonomous vehicle software in a virtual environment before deploying it on real vehicles. Applied Intuition was founded in 2017 and is headquartered in Mountain View, California.
