About the role
As a Motion Planning Engineer on the Fallback Stack team, you will design and ship deterministic, safety-critical planning systems that ensure autonomous vehicles behave safely when autonomy degrades or operates under uncertainty. This role emphasizes classical motion planning, predictable behavior, and large-scale evaluation, rather than deep learning–driven planning.
In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and we focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied is the place for you!
At Applied Intuition, you will:
Design and implement classical or ML motion planners for fallback and minimal-risk maneuvers
Build planners that operate reliably under degraded perception, partial observability, and system faults
Define and execute safe, deterministic vehicle motions such as controlled slow-downs, pull-overs, and safe stopsUse large-scale simulation and real-world data to evaluate planner behavior and guide parameter tuning
Develop metrics, analysis tools, and dashboards to understand planner performance at scaleCollaborate closely with behavior prediction, perception, controls, safety, and remote assistance teams
Contribute to a reusable fallback platform used across trucking and other autonomy programs
We're looking for someone who has:
5+ years of experience in motion planning for autonomous vehicles or robotics
Strong foundation in robotic motion planning algorithms and trajectory generation (optimization-, search-, or rule-based)
Experience building deterministic, safety-critical planning systems
A data-driven mindset for large-scale evaluation, debugging, and tuning of planning behavior
Proficiency in C++ and experience working in real-time systems
Strong systems thinking and cross-functional collaboration skills
Nice to have:
Experience designing minimal-risk maneuvers (MRM) or emergency handling behaviors
Familiarity with AV safety concepts, ODD constraints, or safety-case-driven development
Experience using ML techniques for parameter tuning, calibration, or offline optimization
Experience working with degraded sensors, uncertainty, or human-in-the-loop systemsBackground in simulation frameworks or large-scale log analysis
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $151,000 - $240,000 USD annually.
