Software Engineer - Motion Planning (Fallback Stack)

Responsibilities

• 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 stops
• Use 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 scale
• Collaborate closely with behavior prediction, perception, controls, safety, and remote assistance teams
• Contribute to a reusable fallback platform used across trucking and other autonomy programs

Requirements

• 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

Preferred Qualifications

• 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 systems
• Background in simulation frameworks or large-scale log analysis

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017, the company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. We service the automotive, defense, trucking, construction, mining, and agriculture industries through tools, operating systems, and autonomy solutions.