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 private company founded in 2020 and 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 a senior perception engineer who knows how to bring best-in-class reliability to autonomous driving systems in structured, low-speed environments.

In this role, you’ll own, revise, and lead the perception subsystem of the AeroVect Driver at a fast-paced, early-stage startup. Leveraging your experience building production-grade systems, you’ll propel the AeroVect Driver to achieve category-defining driving precision for the airport operational design domain.

Your scope will include leading the system design and implementation of key improvements to the current AeroVect perception module including leading computer vision, LiDAR perception, semantic segmentation, point cloud matching, sensor fusion, and scene understanding projects, deployed across all AeroVect vehicles.

The opportunity offers a technical, hands-on team leader the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our VP of Engineering and works closely with the autonomy engineering team.

What You’ll Do

• Define, implement, and own hands-on improvements to upgrade the perception module, targeting milestones, growing the team, and working with internal/external partners — expect to spend 80% of your time performing hands-on development, with the remaining 20% leading the subsystem development roadmap, including directing schedule, removing obstacles, and coaching the team to hit aggressive milestones.

• Lead a team of engineers bringing up all components necessary for reliable autonomous driving in the airside environment, including vehicle corridors and the apron.

• Qualify all subsystems using objective measures, with an eye to functional safety and systems engineering best practices

• Collaborate with vehicle engineering to create an integrated system, including sensor/compute selection and integration

Qualifications

Minimum Qualifications

• Bachelor’s Degree or Master’s Degree candidate in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field

• Prior background (academic or industrial) in development of perception modules for autonomous systems, including strong theoretical expertise.

• Knowledge of the latest camera-based object detection models, lane detection models, LiDAR-based object detection models, segmentation models, etc…

• Strong C++ (preferred) or Python programming and algorithmic problem-solving skills

• Working experience in a Linux based Operating System

• Experience using the Robot Operating System (ROS) framework and tools like Rviz, rqt, tf, etc.

• Strong reasoning skills and mathematics background including linear algebra, geometry, calculus, optimization, and probability to name a few

• Solid engineering background with hands-on design and development experience

• Experience with field testing autonomous systems

• Collaborative nature and effective communicator

Desired Qualifications

• MS or PhD in Computer Science, Math, Robotics, or a related field

• In-Depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware

• Proven track record of system development and successful deployment of unmanned systems in existing or upcoming products

• Mastery of Modern C++ (14 and beyond) and safety-critical coding practices (MISRA and ISO 26262 compliance)

• 2+ years of focused industry experience on perception for robotic ground vehicles