Senior Behavior Planning Engineer – Autonomy Systems

Remote Co.; San Francisco (CA); Hybrid; USD 180,000 - 220,000; Full time

Job summary

AeroVect is seeking a Senior Software Engineer to design and build behavior planning for autonomous ground operations in dynamic environments. You will own modules in the behavior planner, balancing mission goals with motion execution in complex scenarios.

The role requires a Master’s in CS/Robotics and at least 3 years in autonomous driving or robotics, with strong C++ and Python skills. This hybrid, full-time position offers equity and works across multiple strategic locations.

Qualifications

• Master's degree required in CS, robotics or related field.
• Minimum 3 years of industry experience in autonomous driving, robotics, or related field.

Responsibilities

• Develop and implement advanced behavior planning algorithms for autonomous vehicles.
• Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems.
• Design, write, and maintain efficient and scalable code in C++ and Python.
• Contribute to the architecture and continuous improvement of behavior planning software.
• Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms.
• Analyze system performance and implement enhancements based on data and feedback.
• Maintain comprehensive documentation of code, algorithms, and system designs.
• Work closely with other engineering teams to ensure seamless coordination and development.

Skills

C++

Python

Debugging

Profiling

Behavior planning algorithms

State machines

Behavior trees

Probabilistic planning

Education

Master's degree in Computer Science, Robotics, or related field

Tools

ROS/ROS2

Job description

AeroVect is seeking a Senior Software Engineer to design and build behavior planning for autonomous ground operations in dynamic environments. You will own modules in the behavior planner, balancing mission goals with motion execution in complex scenarios.

The role requires a Master’s in CS/Robotics and at least 3 years in autonomous driving or robotics, with strong C++ and Python skills. This hybrid, full-time position offers equity and works across multiple strategic locations.