Website:
aule.space
Job details:
What You'll Do
Satellite rendezvous requires determining the relative position, velocity, and orientation of two spacecraft moving at several kilometers per second - all in real time. In this role, you will own the development of our relative navigation system: from defining requirements and designing architectures, to building algorithms and validating them with synthetic datasets and hardware-in-the-loop testing. You’ll have the chance to shape this technology from scratch, leveraging computer vision to enable autonomous satellite rendezvous and docking.
Responsibilities
- Develop and test computer vision algorithms for object detection, tracking, and relative pose estimation
- Develop and test the sensor processing and fusion stack for real-time state 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
- Contribute to ground testing and hardware-in-the-loop validation of the perception stack
- Contribute to fault detection, isolation, and recovery systems through robust sensor and state monitoring
- Work closely with GNC and flight software teams to integrate the algorithms into spacecraft software
What We Look For
Minimum Requirements
- Bachelor’s degree in Physics, Computer Science, Electrical or any related engineering discipline
- 3+ years of experience in computer vision, robotics, or autonomous systems; graduating PhDs with relevant focus
- Proficiency in 3D Computer Vision (SLAM, depth estimation, sensor fusion)
- Proficiency in Python, C++ and OpenCV and hands-on experience with PyTorch, or TensorFlow
- Proven track record of developing and deploying vision models in real-world applications
- You thrive in fast-paced, dynamic environments, adapt quickly, and enjoy solving hard problems
Preferred Qualifications
- Hands-on experience with optical systems, imaging sensors, and camera characterization
- Track record of published research or contributions to open-source projects in related fields
- Hands-on experience with 3D synthetic data generation for training vision models
What We offer
- Competitive compensation including ESOPs
- Role based workplace flexibility
- Professional mental wellness services
- Health insurance coverage
- Gym membership
Click on Apply to know more.
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