Senior Software Engineer, Behavior Planning

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and execute sophisticated behavior planning algorithms for autonomous vehicles.

• Collaborate with diverse teams to guarantee robust integration and functionality of planning systems.

• Design, write, and sustain efficient and scalable code using C++ and Python.

• Contribute to the architecture and ongoing enhancement of behavior planning software.

• Perform extensive testing in simulated environments and real-world situations to validate and refine behavior planning algorithms.

• Analyze system performance and implement improvements based on data and feedback.

• Maintain thorough documentation of code, algorithms, and system designs.

• Work closely with other engineering teams to ensure seamless coordination and development.

• Take ownership of the design and implementation of key behavior-planner modules for autonomous driving in structured, low-speed environments.

• Address multi-agent interaction modeling, rule-based and learned decision-making, and edge cases in airport ground operations.

• Operate at the intersection of mission-level objectives and motion-level execution.

⛳️ Requirements

• Proficient in modern C++ (11/14/17) and object-oriented programming principles.

• Skilled in Python for rapid prototyping and testing purposes.

• Strong capabilities in debugging, profiling, and optimizing code.

• In-depth 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 discipline.

• Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field.

• Knowledge of machine learning techniques, particularly in behavior prediction and planning contexts.

• Experience with ROS / ROS2.

• Experience in implementing systems capable of re-planning at high frequencies to adapt to dynamic environmental changes.

• Ability to ensure behavior planning algorithms execute with minimal latency for real-time navigation.

• Proficiency in optimization techniques and probabilistic models for planning decisions under uncertainty.

🏝️ Benefits

• Equity