• PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field — or equivalent demonstrated research experience in industry.
• A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas.
• A meaningful publication record at top-tier venues (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, or equivalent).
• Strong programming skills in Python and hands-on experience with PyTorch.
• Evidence that you can carry an idea from research into something real — a shipped feature, a production pipeline, a widely used open-source release, or similar.
• The independence to drive research projects from idea generation through experimentation, publication, and handoff.
• Experience with classical reconstruction tooling (COLMAP or similar).
• C++ or CUDA experience, and a feel for performance and on-device constraints.
• Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D.
• EQUAL OPPORTUNITY