Applied Systems Engineer for SDS Trucking at Applied Intuition responsible for defining and implementing autonomy performance and development metrics. Role involves analyzing fleet, test, and simulation data to guide engineering priorities.
Responsibilities
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
Qualification
MS/BS in SystemsAutonomous truckingFOR US-BASED ROLES
Required
5+ years of experience in systems engineering, V&V, data science, or 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
Preferred
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.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
