AeroVect
Senior Software Engineer, Behavior Planning
$180K–$220K
South San Francisco - Hybrid +6 · Hybrid · Senior · Full-time · Posted Sep 17, 2026
- Location
- South San Francisco - Hybrid
New York City - Remote
Seattle
Florida - Remote
Colorado
Boston - Remote
Atlanta - Hybrid - Experience
- Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field.
- Education
- Master’s degree in Computer Science, Robotics, or a related field.
About the job
Designs and implements behavior-planning systems that decide how autonomous vehicles should operate in dynamic airport ground-handling scenarios.
What you'll do
- Develop, test, and refine behavior-planning algorithms in simulations and real-world scenarios.
- Build and maintain efficient, scalable planning software and contribute to its architecture.
- Collaborate with engineering teams, analyze system performance, and document code and system designs.
What they ask for
- Proficiency in modern C++ (11/14/17), object-oriented programming, and Python.
- Strong debugging, profiling, and code-optimization skills.
- Deep understanding of behavior-planning algorithms, such as state machines, behavior trees, and probabilistic planning; familiarity with path-planning algorithms such as A*, RRT, or optimization-based methods.
- Master’s degree in Computer Science, Robotics, or a related field.
Nice to have
- Knowledge of machine learning for behavior prediction and planning; experience with ROS / ROS2.
- Experience with high-frequency replanning, real-time low-latency navigation, and optimization or probabilistic planning methods.
Pay
$180K – $220K USD base salary
Tools
C++ (11/14/17), Python, A*, RRT, ROS, ROS2
AI focus
The role may involve learned decision-making and machine learning for behavior prediction and planning.
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