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.

We're looking for a Perception Intern to help build and improve the perception systems that power the AeroVect Driver — our autonomous vehicle platform for airport operations. In this role, you'll work across the Perception stack, contributing to projects that span Computer Vision, Sensor Processing, Sensor Fusion, and Machine Learning. You'll tackle real problems in an environment where reliability and precision are paramount.

You will collaborate closely with our Perception and Autonomy engineering teams, gaining hands-on experience developing Perception modules that are deployed on real vehicles at airports around the world. This is a high-impact internship for someone who is excited about autonomous systems and wants to see their work run in production.

You Will

• Design, implement, and test improvements to Perception subsystems, which may include Object Detection, Tracking, Sensor Fusion, or Scene Understanding.

• Work with both conventional Perception techniques and ML-based approaches across camera, LiDAR and Radar modalities.

• Evaluate and validate Perception performance using objective metrics, with attention to robustness across operating conditions.

• Collaborate with the autonomy team to integrate Perception improvements into the broader autonomous driving system.

• Stay current with relevant research and propose ideas to advance the Perception stack.

You Have

• Currently pursuing a Master's degree or higher in Robotics, Computer Science, Electrical Engineering, Mathematics, Physics, or a related field.

• Prior coursework or project experience in Machine Perception, Computer Vision, or Machine Learning for Robotics or Autonomous systems.

• Familiarity with deep learning frameworks such as PyTorch and TensorRT.

• Strong programming skills in C++ and Python.

• Solid foundation in mathematics including linear algebra, probability, and optimization.

• Experience working in a Linux environment.

• Excellent communication skills and comfort working collaboratively in a fast-paced team.

We Prefer

• Experience with 3D object detection models (LiDAR-based or camera-based).

• Experience with Radar.

• Familiarity with sensor fusion techniques across multiple modalities.

• Experience with ROS2.

• Prior experience at an autonomous driving company or Robotics startup.