3D Computer Vision Researcher – Remote (US)
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026. Kitware scores A on the Alion truth index.
Advance 3D Vision Research from Algorithms to Open Source Applications.
In this position, you’ll research and develop algorithms for photogrammetry, camera calibration, registration, and 3D reconstruction from images and video. Current projects emphasize aerial and satellite imagery, with opportunities to adapt these capabilities to new challenges and data domains such as underwater imagery and synthetic aperture radar.
Your work will contribute to open source applications and frameworks includingTeleSculptor, KWIVER, and Danesfield. You’ll also explore how 3D vision can support broader computer vision problems such as object detection and tracking, change detection, super resolution, and video compression.
Kitware partners with government R&D agencies, branches of the U.S. military, members of the Intelligence Community, and commercial organizations ranging from startups to Fortune 500 companies. You’ll have opportunities to collaborate directly with customers, participate in field tests and demonstrations, publish novel work, and apply state-of-the-art artificial intelligence approaches to real-world national security challenges.
What You'll Do
Conduct research and develop solutions involving camera calibration, registration, and 3D reconstruction from images.
Contribute to open source software such as TeleSculptor, KWIVER, and Danesfield.
Collaborate with other researchers to develop ideas and peer-review work.
Prepare and present research findings to customers and collaborators.
Receive support and encouragement to participate in national and international conferences such as CVPR, ICCV, ECCV, WACV, and 3DV.
Seek funding to grow and develop your own research areas, if desired.
What We're Looking For
A PhD in Computer Science or a related field.
Experience using multiview geometry to develop algorithms for building 3D point clouds, meshes, Gaussian Splats, or NeRFs from imagery or video.
Experience with AI/ML methods for 3D reconstruction or camera calibration.
Experience with good software development practices and proficiency in C++ and/or Python.
A strong publication record in top-tier research publications and conferences such as CVPR, ICCV, and ECCV.
A highly innovative approach and a demonstrated record of solving difficult technical challenges using imagery.
Experience collaborating successfully with others and thriving in a fast-paced, dynamic work environment.
Due to contractual restrictions, only US Citizens will be considered for this position.
If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance.
Candidates should include a detailed list of publications as part of their resume or CV.
Preferred Qualifications
- Experience with geospatial coordinate systems and transformations.