Senior Autonomy Software Engineer - Behavior Planning

AeroVect; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

AeroVect is seeking a Senior Software Engineer to design and build state-of-the-art behavior planning systems for autonomous driving in airside environments. You will own modules in the behavior planner, connecting mission goals with motion execution and handling multi-agent scenarios.

You will work with a Planning Tech Lead and autonomy team to deliver scalable C++/Python code, test extensively, and contribute to robust, low-latency planning for a robotics-as-a-service product.

Qualifications

• Requires a Master’s degree in Computer Science, Robotics or related field.
• Minimum 3 years of industry experience in autonomous driving, robotics or related field.
• Proficiency in modern C++ and Python with strong debugging and profiling skills.
• Experience with behavior planning algorithms (state machines, behavior trees, probabilistic planning).

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

Modern C++ (11/14/17)

Python

Debugging/Profiling/Optimization

Behavior planning algorithms

Education

Master's degree in CS/Robotics or related

Tools

ROS/ROS2

Job description

AeroVect is seeking a Senior Software Engineer to design and build state-of-the-art behavior planning systems for autonomous driving in airside environments. You will own modules in the behavior planner, connecting mission goals with motion execution and handling multi-agent scenarios.

You will work with a Planning Tech Lead and autonomy team to deliver scalable C++/Python code, test extensively, and contribute to robust, low-latency planning for a robotics-as-a-service product.