Drimva

Meta

Computer Vision Engineer, Reality Labs

$122K–$181K

Redmond, WA · Full-time · Posted Sep 1, 2026

Experience
2+ years in computer vision and perception algorithm development for robotics systems.
Education
Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; must be completed prior to joining Meta.

About the job

Researches and develops computer vision and perception algorithms, especially sensor and display calibration, for Reality Labs’ mixed-reality products.

What you'll do

  • Design and develop factory and online calibration algorithms and prototype calibration automation.
  • Collaborate with Reality Labs engineering and research teams on computer vision and graphics.
  • Conduct applied computer vision research and help bring products to market while contributing to engineering practices.

What they ask for

  • Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; degree must be completed before joining.
  • 2+ years developing and designing computer vision and perception algorithms for robotics technologies and systems.
  • Experience in C++ development.
  • Prototyping and engineering experience in at least one relevant computer vision or robotics perception specialization, such as camera calibration, state estimation, sensor fusion, or 3D reconstruction.

Nice to have

  • Master’s or PhD in Computer Science, Computer Vision, Robotics, or a related technical field.
  • Conference publication record or industry experience in relevant computer vision and robotics projects.

Pay

$121,992/year to $181,000/year USD base salary; bonus and equity are also stated, with no amounts specified.

Tools

C++, Computer Vision, Perception algorithms, Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction

AI focus

Applies computer vision and machine learning techniques to mixed-reality perception and calibration challenges.

Model-written summary · the original posting is authoritative

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