Staff Software Engineer, Motion Planning

AeroVect; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

AeroVect is seeking an experienced Staff Software Engineer to design and build planning systems for autonomous driving in structured, low-speed airport environments.

You will own the mission, behavior, and motion planners, drive architectural decisions across the planning stack, prototype new approaches, and collaborate with perception, controls, localization, and systems engineering to deliver an integrated autonomous system. You will mentor engineers and promote safety-focused practices.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

C++

Python

Linux

System design

Mentoring

Formation

Bachelor's/Master's degree

MS/PhD in Computer Science/Robotics or related

Outils

ROS/ROS2

DDS middleware

Description du poste

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.

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.