Senior Software Engineer — Autonomy & Behavior Planning

AeroVect Technologies Inc.; Toronto, Vancouver; Hybrid; CAD 120,000 - 170,000; Full time

Job summary

AeroVect Technologies Inc. in Toronto, Canada, is seeking a Senior Software Engineer to design and implement high-performance behavior planning for autonomous ground operations.

You will own modules in the behavior planner, bridging mission goals with motion execution in dynamic airside scenarios. The role emphasizes modern C++ and Python development, rigorous testing in simulation and real-world environments, and close collaboration with autonomy and robotics teams to deliver a robust

Qualifications

• Master’s degree required or equivalent in CS/Robotics.
• 3+ years of industry experience in autonomous driving or robotics.
• Strong foundations in algorithms and software design.

Responsibilities

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

Skills

Modern C++

Python

Debugging & profiling

Behavior planning

State machines & BTs

Path planning (A*, RRT)

ROS/ROS2

Education

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

Tools

ROS/ROS2

Job description

AeroVect Technologies Inc. in Toronto, Canada, is seeking a Senior Software Engineer to design and implement high-performance behavior planning for autonomous ground operations.

You will own modules in the behavior planner, bridging mission goals with motion execution in dynamic airside scenarios. The role emphasizes modern C++ and Python development, rigorous testing in simulation and real-world environments, and close collaboration with autonomy and robotics teams to deliver a robust