At Array Labs, we build advanced radar satellite constellations that generate high-resolution 3D maps of the Earth. Our mission is to provide lidar-like 3D data and imagery from space for customers in infrastructure, industrial operations, autonomy, and national security. Our system is vertically integrated: we design radar payloads, fly clusters of satellites, and operate the processing pipeline that turns raw multi-static radar measurements into geo-referenced 3D products. The Image Formation team owns the algorithms and software that sit in the middle of this stack â system models, reconstruction methods, and the large-scale processing systems that make the data usable at production scale. As a 3D Reconstruction Scientist on this team, you will develop and deploy algorithms that reconstruct 3D structure from distributed radar and optical sensors. Youâll work on multi-view geometry, tomography, and large-scale inverse problems, and youâll be responsible for taking methods from prototype to production on real satellite data. The approaches you design will directly set the limits on the resolution, accuracy, and reliability of Arrayâs 3D products.