About usWe are building the robotic workforce to unlock a sustainable in-space economy and expand humanity's reach in space exploration, starting with extending the life of satellites that are running out of fuel with our jetpacks. At the heart of this vision is our RPOD (Rendezvous, Proximity Operations & Docking) technology, a critical enabler for the future of space operations. We are looking for exceptional, mission-driven individuals to shape this technology from the ground up together with the founding team.
What you'll doSatellite 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- Design and implement advanced computer vision algorithms for spacecraft navigation
- Design and implement the sensor processing and fusion stack for real-time state estimation
- Generate and validate large-scale synthetic datasets to train and test navigation algorithms
- Optimize vision models for real-time processing on space-gradeedge hardware
- 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 forMinimum 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 Python, C++ and OpenCV and hands-on experience with PyTorch, or TensorFlow
- Proficiency in 3D Computer Vision (SLAM, depth estimation, sensor fusion)
- 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 embedded AI and real-time operating systems
- Familiarity with 3D synthetic data generation for training AI models
- Track record of published research or contributions to open-source projects in related fields
- Experience with computer vision in space systems, particularly in spacecraft rendezvous and proximity operations
What we offer- Competitive compensation including ESOPs
- Role based workplace flexibility
- Annual vacations
- Professional Mental Wellness Services
- Health insurance coverage
