Software Engineer, Motion Planning

AeroVect; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

An innovative company is seeking a Software Engineer to revolutionize ground handling through autonomy. In this exciting role, you will develop advanced behavior planning algorithms for autonomous vehicles, collaborating with cross-functional teams to ensure seamless integration. With a focus on modern C++ and Python, you will contribute to the architecture and continuous improvement of planning software. This is a fantastic opportunity to work in a dynamic environment, pushing the boundaries of technology in the aviation industry. If you are passionate about robotics and want to make a significant impact, this position is perfect for you.

Qualifications

• 2+ years of industry experience in autonomous driving or robotics.
• Strong understanding of behavior planning algorithms and path planning methods.

Responsibilities

• Develop advanced behavior planning algorithms for autonomous vehicles.
• Collaborate with teams to ensure robust integration of planning systems.

Skills

C++ (modern 11/14/17)

Python

Debugging

Behavior Planning Algorithms

Path Planning Algorithms

Education

Master’s degree in Computer Science

Master’s or PhD in Robotics, AI, Mathematics

Tools

ROS / ROS2

Job description

Join to apply for the Software Engineer, Motion Planning role at AeroVect.

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

You will

• 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

You Have

• Proficiency in modern C++ (11/14/17) and object-oriented programming
• Skilled in Python for rapid prototyping and testing
• Strong debugging, profiling, and code optimization skills
• Deep understanding of behavior planning algorithms such as state machines, behavior trees, and probabilistic planning
• Familiarity with path planning algorithms like A*, RRT, or optimization-based methods
• Master’s degree in Computer Science, Robotics, or a related field
• Minimum of 2 years of industry experience in autonomous driving, robotics, or a related field

We Prefer

• Knowledge of state machines, behavior trees, and decision-making under uncertainty
• Expertise in path planning algorithms such as A*, D*, and RRT
• Knowledge of machine learning techniques, especially in behavior prediction and planning
• Experience with ROS / ROS2
• Implementing systems capable of high-frequency re-planning to adapt to dynamic environments
• Ensuring behavior planning algorithms execute with minimal latency for real-time navigation
• Proficiency in optimization techniques and probabilistic models for planning under uncertainty
• Master’s or PhD in Robotics, AI, Mathematics, or related fields focusing on planning, optimization, or control theory is a plus

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Airlines and Aviation