spaice-tech - Computer Vision Engineer

• M.S. in Computer Vision/Robotics, or a related field. • Expertise in at least two of the following: multimodal perception & sensor fusion, neural representations, semantic scene understanding, SLAM / camera‑pose estimation, monocular depth estimation, visual place recognition. • Strong software engineering skills in C++ and Python, including performance‑critical CV/ML code on Linux or embedded platforms. • Familiarity with GPU or edge‑AI acceleration (CUDA, TensorRT, Vulkan, or similar). • Demonstrated ability to deliver production‑quality, well‑tested code in collaborative, fast‑moving environments. • Industry placements/working experience. • Experience deploying perception pipelines on resource‑constrained hardware. • Publications in multimodal sensing/neural representations/SLAM for robotics or autonomous navigation in journals and conferences (e.g. CVPR, ICRA, ECCV/ICCV, NeurIPS).