Software Engineer - Computer Vision

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.

• 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.

• 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.

• 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)

Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.

We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.

Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.

We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.

At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.

• Build What Matters:
  Create technology that serves customers and advances humanity
• Innovate Together:
  Stay curious, collaborate openly, push boundaries as one team
• Employee Centric:
  Put our people first with a culture of trust, respect, and opportunity
• Join industry-leading experts to…