computer vision · stereo camera
ABOUT THE ROLE
Join an industrial inventory measurement team building a computer vision system that turns stereo camera data into accurate, auditable pile measurements. You will own the core perception pipeline and help bring research methods into production-grade measurement.
WHAT YOU'LL DO
- Develop stereo reconstruction, depth estimation, segmentation, and point-cloud processing workflows.
- Improve 3D reconstruction quality, volume accuracy, calibration assumptions, and measurement confidence metrics.
- Build and maintain ground-plane estimation, point-cloud cleanup, stitching, and volume calculation components.
- Integrate and evaluate vision models, including stereo and YOLO-style approaches.
- Analyze failure modes and debug perception systems using real-world sensor data.
WHAT WE'RE LOOKING FOR
- Four or more years of experience in computer vision or perception machine learning engineering.
- Strong Python and PyTorch skills, with experience using OpenCV and Open3D.
- Hands-on experience with stereo vision, depth estimation, camera calibration, point clouds, 3D geometry, or reconstruction.
- Experience shipping computer vision systems that use real-world sensor data.
- Background in stereo perception and volume reconstruction through work or research.
- Experience with CUDA, robotics perception, SLAM, photogrammetry, industrial inspection, or geospatial and volumetric measurement is beneficial.
COMPENSATION & BENEFITS
Base salary: $180,000 to $245,000 annually. Visa sponsorship is available.