Staff Software Engineer - Computer Vision

Job description

**About Us** Array Labs is building a new way to understand the physical world. Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions. Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters. We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth. **About the Job** As a Staff Software Engineer for Computer Vision, you will develop and deploy across all of Array's 3D processing capabilities, including our photogrammetry and radar reconstruction pipelines. The work spans computer vision algorithms and production engineering: you should be equally comfortable reading a paper about unfamiliar algorithms, and shipping new capabilities as production-quality software. The position will work closely with 3D reconstruction scientists, radar algorithms engineers, and product engineers. ### Responsibilities - Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices. - Step into individual pipeline stages — bundle adjustment, dense matching, point cloud generation, geometric refinement, geo-referencing — to improve accuracy, robustness, and throughput. - Develop and optimize database schemas and storage solutions for managing large-scale 3D geospatial data. - Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver our satellite data to customers. ### Basic Qualifications - 5+ years of software engineering experience, with a substantial portion focused on computer vision. - Strong proficiency in Python and C++, experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes). - Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi-view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment). - Excellent communicator, with the ability to make high-quality technical decisions in a startup environment. ### Preferred Skills & Experience - Experience with geospatial concepts, remote sensing data, or robotics/autonomous vehicle sensor data - Familiarity with digital signal processing, radar algorithms, or SAR concepts - Familiarity with deep learning approaches to 3D vision (e.g. NeRF, 3D Gaussian Splatting, learned feature matching, or depth estimation) - Experience with C++ or CUDA for performance optimization - Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)