Senior Autonomy Software Engineer – Behavior Planning

AeroVect Technologies Inc.; South San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

AeroVect Technologies Inc. is seeking a Senior Software Engineer to design and build advanced behavior planning systems for autonomous ground vehicles in airside environments.

You will own critical modules in the behavior planner, bridging decision-making with motion execution and working at the intersection of goals and real-time control. You will develop algorithms in C++ and Python, test extensively in simulation and real-world scenarios, and collaborate with autonomy and engineering teams to

Qualifications

• Master’s degree in Computer Science, Robotics, or related field.
• Minimum 3 years of industry experience in autonomous driving or robotics.
• Proficient in modern C++ and Python.
• Experience with behavior planning algorithms.
• Experience with ROS/ROS2; high-frequency replanning is a plus.

Responsibilities

• Develop behavior planning algorithms for autonomous vehicles.
• Collaborate with cross-functional teams to integrate planning systems.
• Design, write, and maintain scalable C++/Python code.
• Conduct extensive testing in simulated environments and real-world scenarios.
• Analyze system performance and implement enhancements based on data.
• Maintain documentation of code, algorithms, and system designs.
• Coordinate with other engineering teams for seamless development.

Skills

C++

Python

Debugging

Behavior planning

Path planning

ROS/ROS2

Algorithms

Education

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

Job description

AeroVect Technologies Inc. is seeking a Senior Software Engineer to design and build advanced behavior planning systems for autonomous ground vehicles in airside environments.

You will own critical modules in the behavior planner, bridging decision-making with motion execution and working at the intersection of goals and real-time control. You will develop algorithms in C++ and Python, test extensively in simulation and real-world scenarios, and collaborate with autonomy and engineering teams to