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About the Role
AeroVect is seeking an experienced Senior Software Engineer to design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments. This role involves owning the design and implementation of key modules in the behavior planner, the decision-making layer for complex, dynamic airside scenarios. The opportunity allows shaping a market-defining product combining autonomous vehicle technology with a robotics-as-a-service (RaaS) business model.
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
Requirements
- Proficient in modern C++ (11/14/17) and object-oriented programming
- Skilled in Python for rapid prototyping and testing
- Strong in debugging, profiling, and optimizing code
- 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 3 years of industry experience in autonomous driving, robotics, or a related field
Skills
- C++
- Python
- Object-oriented programming
- Debugging
- Profiling
- Code optimization
- Behavior planning algorithms
- State machines
- Behavior trees
- Probabilistic planning
- Path planning algorithms
- A*
- RRT
- Optimization-based methods
- ROS / ROS2
- Machine learning
- Real-time navigation
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
- 3 years of industry experience
Education Level
- Master’s degree in Computer Science, Robotics, or a related field
- Master’s degree or PhD in Robotics, AI, Mathematics, or a related field with a focus on planning, optimization, or control theory is a plus
About the Company
- AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations.
- A Series A company backed by top-tier venture capital investors in aviation and autonomous driving.
- Customers include some of the world’s largest airlines and ground handling providers.