AeroVect Staff Software Engineer at AeroVect designing and building planning systems for autonomous driving in airport airside environments. Own mission, behavior, and motion planning software.
Responsibilities
We are looking for an experienced Staff Software Engineer who can design and build best-in-class planning systems for autonomous driving in structured, low-speed environments.
This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team.
Design, implement, and iterate on the mission planner, behavior planner, and motion planner for autonomous ground support equipment operating in airport airside environments.
Drive key technical decisions across the planning stack — selecting algorithms, defining interfaces, and establishing the architecture that the team builds on.
Prototype and evaluate new planning approaches (e.g., optimization-based methods, search-based planners, learning-augmented pipelines) and bring the best ideas to production.
Collaborate cross-functionally with perception, controls, localization, and systems engineering teams to deliver an integrated autonomous driving system.
Establish and promote best practices in software development, functional safety, and systems engineering as they apply to the planning domain.
Mentor other engineers through technical guidance, code review, and design discussions.
Qualification
Excellent communication skillsMS or PhExperience in startup environmentsMastery of Modern C++ (14 a
Required
Bachelor's or Master's degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field.
Extensive hands-on experience designing and implementing planning modules for autonomous systems shipped to production or deployed in real-world operations.
Strong programming skills in C++ (preferred) or Python, and experience with Linux-based operating systems.
Demonstrated ability to take ambiguous technical problems and drive them to well-architected solutions independently.
Excellent communication skills, proactiveness, and a strong sense of ownership.
MS or Ph.D. in Computer Science, Robotics, or a related field.
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.
Experience in startup environments, demonstrating adaptability to rapidly changing priorities.
Preferred
MS or Ph.D. in Computer Science, Robotics, or a related field
