Senior Software Engineer, Behavior Planning

About AeroVect

Role overview

Responsibilities

• Develop advanced behavior-planning algorithms for autonomous vehicles.
• Model multi-agent interactions and implement rule-based and learned decision-making for airport ground operations.
• Design, write, and maintain efficient, scalable C++ and Python code.
• Collaborate across teams to integrate planning systems and ensure robust functionality.
• Contribute to software architecture and continuous improvement.
• Test and refine algorithms in simulation and real-world scenarios.
• Analyze performance and implement data- and feedback-driven enhancements.
• Maintain documentation of code, algorithms, and system designs.

Required qualifications

• Proficiency in modern C++ (11/14/17) and object-oriented programming.
• Skill in Python for rapid prototyping and testing.
• Strong debugging, profiling, and code optimization skills.
• Deep understanding of behavior-planning algorithms, including 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.
• At least 3 years of industry experience in autonomous driving, robotics, or a related field.

Preferred qualifications

• Knowledge of machine learning for behavior prediction and planning is preferred.
• Experience with ROS or ROS2 is preferred.
• Experience with high-frequency replanning and low-latency real-time navigation is preferred.
• Optimization techniques and probabilistic models for planning under uncertainty are preferred.
• A master’s degree or PhD in Robotics, AI, Mathematics, or a related field focused on planning, optimization, or control theory is a plus.

Compensation

• Compensation range is CA$160,000–CA$200,000; no pay cadence is specified.