Applied Intuition
Software Engineer - Motion Planning (Fallback Stack)
$151K–$240K
Sunnyvale · On-site · Full-time · Posted Mar 12, 2026
- Experience
- 4+ years in motion planning for autonomous vehicles or robotics.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
About the job
Design and deliver deterministic, safety-critical fallback motion planning systems that keep autonomous vehicles safe when autonomy degrades or uncertainty increases.
What you'll do
- Design and implement planners for fallback and minimal-risk maneuvers, including safe stops and pull-overs.
- Evaluate planner behavior with simulation and real-world data; build metrics, analysis tools, and dashboards.
- Collaborate across autonomy teams and contribute to a reusable fallback platform.
What they ask for
- Strong foundation in robotic motion planning algorithms and trajectory generation.
- Experience building deterministic, safety-critical planning systems.
- Proficiency in C++ and experience with real-time systems.
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Nice to have
- Experience designing minimal-risk maneuvers or emergency handling behaviors.
- Familiarity with AV safety concepts, ODD constraints, or safety-case-driven development.
Pay
$151K – $240K (base salary; currency not stated)
Tools
C++
AI focus
Classical or ML motion planning for fallback and minimal-risk maneuvers; the role emphasizes classical planning rather than deep learning–driven planning.
Model-written summary · the original posting is authoritative