A
Aerovectvia Ashby
Staff Software Engineer, Motion Planning
REMOTEPosted 1mo ago
OtherStaff+Full-time#remote
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About the Role
WHO WE ARE
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com http://www.aerovect.com.
JOB DESCRIPTION
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.
In this role, you'll be the technical backbone of the planning stack — owning the design and implementation of production-grade mission planning, behavior planning, and motion planning software. You'll work across the full planning pipeline to achieve category-defining vehicle autonomy for the airside, tackling hard problems in trajectory optimization, decision-making under uncertainty, and real-time constraint optimization.
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.
You Will:
- 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.
You Have:
- 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.
We Prefer:
- 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.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com http://www.aerovect.com.
JOB DESCRIPTION
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.
In this role, you'll be the technical backbone of the planning stack — owning the design and implementation of production-grade mission planning, behavior planning, and motion planning software. You'll work across the full planning pipeline to achieve category-defining vehicle autonomy for the airside, tackling hard problems in trajectory optimization, decision-making under uncertainty, and real-time constraint optimization.
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.
You Will:
- 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.
You Have:
- 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.
We Prefer:
- 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.
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