Perception Intern

What You'll do

As part of the GNC team at Aule, you will work on vision-based perception and relative navigation for autonomous spacecraft rendezvous and docking. You will develop and test computer vision algorithms, generate synthetic datasets, work with high-fidelity simulators, validate perception performance through ground testing, and support the deployment of the perception stack on flight hardware.

Responsibilities

• Develop and test computer vision algorithms for object detection, tracking, and relative pose estimation
• Generate and validate synthetic image datasets for various mission phases and scenarios
• Optimize vision models for real-time processing on space-grade edge hardware
• Support ground testing and hardware-in-the-loop validation of the perception stack
• Work closely with the GNC and flight software teams to integrate algorithms into the spacecraft navigation stack

What We Look For

Minimum Requirements

• Strong fundamentals in computer vision, image processing, and robotics
• Proficiency in Python, C++ and OpenCV and hands-on experience with PyTorch, or TensorFlow
• Familiarity with 3D Computer Vision (SLAM, depth estimation, sensor fusion)
• Experience building computer vision projects through coursework, research, student technical teams, or independent projects
• Ability to independently experiment, debug, and work through technically challenging problems
• You thrive in fast-paced, dynamic environments, adapt quickly, and enjoy solving hard problems

Preferred Qualifications

• Familiarity with 3D synthetic data generation for training vision models
• Track record of published research or contributions to open-source projects in related fields

What We Offer

• Work on a space mission with a highly driven, mission-focused team
• Competitive stipend
• Role based workplace flexibility
• Pathway to a future full-time role based on performance