9 hours ago
Responsibilities
- Design, implement, and iterate on mission, behavior, and motion planners for autonomous ground-support equipment.
- Own key technical decisions across the planning stack, including algorithm selection, interface definition, and system architecture.
- Prototype and evaluate optimization-based, search-based, and learning-augmented planning approaches and productionize the strongest solutions.
- Collaborate with perception, controls, localization, and systems engineering teams on integrated autonomous driving systems.
- Establish software development, functional safety, and systems engineering practices for the planning domain.
- Mentor engineers through technical guidance, code reviews, and design discussions.
Requirements
- Bachelor's or master's degree in computer science, mathematics, electrical engineering, mechanical engineering, robotics, physics, or a related field.
- Extensive hands-on experience designing and implementing planning modules for autonomous systems deployed in production or real-world operations.
- Strong programming skills in C++ or Python and experience with Linux-based operating systems.
- Ability to independently drive ambiguous technical problems to well-architected solutions.
- Strong communication, proactiveness, and ownership.
- Preferred: MS or Ph.D. in computer science, robotics, or a related field.
- Preferred: mastery of Modern C++ 14 and beyond and safety-critical coding practices such as MISRA and ISO 26262.
- Preferred: 5+ years of industry experience in planning for robotic ground vehicles.
- Preferred: in-depth understanding of DDS frameworks such as ROS and ROS2 or other networking middleware.
- Preferred: experience working in startup environments.
About AeroVect
AeroVect builds autonomous driving systems and software to automate airport ground service equipment, improving ramp logistics for airlines, airports, and ground handling providers. It deploys and supports autonomy for fleets used by major carriers and ground service companies. Founded in 2020 and headquartered in South San Francisco, it is a privately held Series A company.