Drimva

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Computer Vision Engineer, Reality Labs

$154K–$217K

Redmond, WA +1 · Full-time · Posted Jun 25, 2026

Location
Redmond, WA
Burlingame, CA
Experience
3+ years developing and designing Computer Vision and Perception algorithms for Robotics technologies and systems.
Education
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.

About the job

Develop computer vision and perception algorithms and calibration systems for Reality Labs’ AR/VR products, from research and prototyping through production.

What you'll do

  • Design and develop factory and online calibration algorithms for sensors and displays, and prototype calibration automation.
  • Collaborate with Reality Labs and FAIR teams on computer vision, machine learning, and graphics research and development.
  • Define projects for other engineers and contribute to engineering practices, code quality, and team technical culture.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • 3+ years of experience developing and designing Computer Vision and Perception algorithms for Robotics technologies and systems.
  • Experience engineering in C++.
  • Prototyping and engineering experience in at least one relevant specialization: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, or Structure-From-Motion.

Nice to have

  • MS or PhD in Computer Science, Computer Vision, Robotics, or a related technical field.
  • Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, RSS, ICRA, or IROS; or industry project experience in the listed specialization areas.

Pay

$154,003/year to $217,000/year USD base salary; bonus and equity amounts not specified

Tools

C++, Computer Vision, machine learning, SLAM, 3D graphics, Camera Calibration, Sensor Fusion, 3D Reconstruction

AI focus

Research and apply computer vision and machine learning techniques for AR/VR, including machine perception, calibration, and real-time image processing.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)