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, agile 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

📌 Perception Intern (Bengaluru)
🏢 Aule Space
📍 Bengaluru