AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are looking for an experienced Technical Lead who can architect and lead the development of best-in-class planning systems for autonomous driving in structured, low-speed environments.
Requirements
- Strong programming skills in C++ (preferred) or Python, and experience with Linux-based operating systems.
- Mastery of Modern C++ (14 and beyond) and safety-critical coding practices (e.g., MISRA, ISO 26262).
- 5+ years of industry experience in planning for robotic ground vehicles.
- In-depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware.
Responsibilities
- Lead the planning team, set clear goals, and foster a collaborative environment to deliver high-quality planning systems.
- Set the short and long-term technical direction for the planning stack and balance leadership responsibilities with hands-on technical work.
- Develop and maintain the planning module roadmap, ensuring timely delivery of milestones by directing schedules and removing obstacles for your team.
- Collaborate cross-functionally with other teams to create an integrated autonomous driving system, contributing to strategic decision-making in the planning system architecture.
- Establish and promote best practices in software development, functional safety, and systems engineering within the planning team.
- Drive the development of the mission planner, behavior planner, and motion planner, achieving category-defining vehicle autonomy for the airside.
Other
- Bachelor’s or Master’s degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field.
- Extensive experience in developing planning modules for autonomous systems, with prior leadership or team management experience.
- Proven ability to manage and deliver complex engineering projects.
- Excellent communication skills, proactiveness, and a strong sense of ownership.
- MS or Ph.D. in Computer Science, Robotics, or a related field.
- Experience in startup environments, demonstrating adaptability to rapidly changing priorities.