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Staff Software Engineer (Computer Vision)

Array Labs

Skills

Required

  • computer vision
  • software engineering
  • C++
  • Python
  • cloud platforms
  • AWS
  • GCP
  • Azure
  • containerization technologies
  • Docker
  • Kubernetes
  • CUDA

Preferred

  • geospatial
  • remote sensing data / robotics/autonomous vehicle
  • sensor data
  • digital signal processing / radar algorithms / SAR
  • deep learning
  • 3D vision
  • NeRF / 3D Gaussian Splatting / learned feature matching / depth estimation
  • 3D data
  • Cesium
  • Three.js

Join Array as a Staff Software Engineer specializing in Computer Vision. In this role, you will develop and deploy our 3D processing capabilities, including photogrammetry and radar reconstruction pipelines. You will work closely with scientists and engineers, improve accuracy and throughput, and contribute to broader software engineering efforts. Candidates should have a strong foundation in geometric computer vision, 5+ years of software engineering experience, and proficiency in Python and C++.

Excellent communicator, with the ability to make high-quality technical decisions in a startup environment

Responsibilities

  • Develop and deploy Array's 3D processing capabilities, including photogrammetry and radar reconstruction pipelines.
  • Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices.
  • Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver satellite data to customers.
  • Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi-view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment)

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)
  • Experience with C++ or CUDA for performance optimization

Preferred

  • 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)
  • Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)

Pay

USD 150,000 - 300,000