Staff Software Engineer - Computer Vision

Array Labs•Redwood City, CA

1d•$150,000 - $300,000

About The Position

Array Labs builds advanced radar systems to help humanity understand and respond to changes across the physical world. We're launching a coordinated fleet of radar satellites to create a high-resolution 3D map of the Earth, updated in real time, enabling faster, smarter decision-making for government and commercial organizations supporting disaster response, infrastructure resilience, and mission-critical geopolitical intelligence. We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness to power critical insights precisely where they're needed most. 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.

Requirements

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.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Nice To Haves

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)

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.