Computer Vision Engineer

Farsight Vision

Що робити

Designing and implementing 3D Gaussian Splatting pipelines — from point cloud initialization through training to real-time rendering
Improving and maintaining our existing photogrammetry and orthophoto generation workflows (Structure-from-Motion, Multi-View Stereo, mesh reconstruction)
Optimizing reconstruction quality and performance: memory footprint, training speed, rendering FPS
Developing tooling for data preprocessing — camera calibration, pose estimation, image undistortion
Benchmarking reconstruction quality (PSNR, SSIM, LPIPS) and building automated evaluation pipelines

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, or a related technical field
2+ years of hands-on experience in computer vision or 3D reconstruction
Strong understanding of multi-view geometry, camera models, and epipolar constraints
Practical experience with photogrammetry pipelines (OpenSFM, COLMAP, OpenMVS, or similar)
Working knowledge of 3D Gaussian Splatting or Neural Radiance Fields (NeRF) — you’ve trained models, not just read the papers

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