Computer Vision Software Engineer

Valve corporation

Bellevue (WA)

On-site

USD 130,000 - 190,000

Full time

14 days+

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Job summary

Valve corporation seeks a Computer Vision Software Engineer to enhance VR experiences through cutting-edge computer vision technology. The ideal candidate will have significant experience in C/C++ and expertise in areas such as SLAM tracking and 3D vision algorithms, contributing to innovative VR solutions for millions of users worldwide.

Qualifications

  • Proven professional software development experience in C/C++.
  • Deep understanding of 3D vision algorithms and SLAM tracking.
  • Experience in one or more of the areas mentioned (e.g., sensor fusion).

Responsibilities

  • Collaborate to define product goals for VR hardware.
  • Develop software specifically for computer vision applications.
  • Evaluate VR hardware design and implementation.

Skills

C/C++
SLAM tracking
3D vision algorithms
Object detection
Human subject awareness

Job description

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Computer vision plays an indispensable role in modern VR experiences, providing headset and controller tracking, eye and hand tracking, 3D environment understanding, amongst others. Computer vision engineers at Valve are working on all those areas to help us achieve the next steps in VR with millions of customers world-wide.

Across the computer vision engineering group, we contribute in a variety of ways:

  • Collaborate to define product goals
  • Participate in conceiving, designing, and evaluating VR hardware
  • Develop software (in particular computer vision related)

Computer vision engineers at Valve have significant industry experience. Members of our team typically have proven professional software development experience in C/C++, and have both deep understanding and hands-on experience in 3D vision algorithms, SLAM tracking, amongst others. Our team includes and looks for individuals with expertise in one or more of the following areas:

  • SLAM/VIO/sensor fusion, visual positioning or other related directions
  • 3D vision algorithms (traditional, deep learning based, or both - including SFM, MVS(Net), NeRF or other 3D reconstruction methods.
  • Object detection and tracking, 3D pose estimation or other related directions
  • Human subject awareness, including hand tracking, eye tracking, and body tracking

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Computer Games

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