At Space-ng, we build autonomy for the space industry.

 

Our vision navigation software was a mission-critical component of the first fully successful commercial moon landing in history.

 

Our computer vision system, AstroVision, combines a flexible, multi-camera hardware concept with onboard perception, navigation, and state estimation.

 

We are hands-on in mission control, at the launchpad, and in our manufacturing facility.   

 

We’re a small group of engineers and applied researchers, growing carefully to assemble a thoughtful, deeply technical team.

 

If you have expertise in any of the following areas, an interest in the others, and an appetite for hard problems, we’d love to talk.

 

Computer vision. Geometric (classical) and deep-learned methods, SLAM, 3D reconstruction, pose estimation, sensor calibration, bundle adjustment, computational photography. 

 

Robotics. Non-linear optimization, motion planning, optimal control, hands-on experience with libraries including Eigen, Ceres, Sophus, GTSAM, or g2o.

 

Computer graphics. Physically-based rendering, ray tracing, differentiable and data-driven methods, OpenGL, GPGPU computing, simulation (e.g. of an imaging pipeline), visualization.

 

Software Engineering. C++ and Python. Systems programming, scientific computing, embedded/robotics frameworks, low-latency and real-time computing, heterogeneous compute, tools and developer experience.

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Space Systems. Spacecraft dynamics and modeling, state estimation, guidance, control theory, orbit determination, sensor modeling, optical navigation, flight software, Monte Carlo analysis. 

 

Drop us a note at hello@space-ng.com