AeroVect · 1 month ago
Senior Software Engineer, Motion Planning
United States
Full-time
Remote
Mid, Senior Level
3+ years expAeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. The Senior Software Engineer, Motion Planning will develop and implement advanced behavior planning algorithms for autonomous vehicles, collaborating with cross-functional teams to ensure robust integration and functionality of planning systems.
AerospaceAir TransportationArtificial Intelligence (AI)Autonomous VehiclesLogisticsManufacturingRoboticsSoftwareTransportation
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
Qualification
Required
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
Preferred
Knowledge of state machines, behavior trees, and decision-making under uncertainty
Expertise in path planning algorithms such as A*, D*, and Rapidly-exploring Random Trees (RRT)
Knowledge of machine learning techniques, especially in the context of behavior prediction and planning
Experience with ROS / ROS2
Implementing systems that can re-plan at high frequencies to adapt to dynamic changes in the environment
Ensuring that behavior planning algorithms can execute with minimal latency for real-time navigation
Proficiency in optimization techniques and probabilistic models for making informed planning decisions under uncertainty
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
Company
AeroVect
AeroVect develops airport automation systems that use embodied AI to manage baggage and cargo logistics on the airfield.
51-200 employees
H1B Sponsorship
AeroVect has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (5)
2023 (5)
Funding
Current Stage
Growth StageTotal Funding
$27MKey Investors
Nava VenturesOutsiders Fund
2024-09-19Series A· $18M
2022-07-01Seed· $7M
2021-05-08Pre Seed· $2M
Leadership Team
Raymond Wang
Co-Founder, CEO
Recent News
2025-06-18
linkedin.com
2024-01-31
Company data provided by crunchbase