Columbia, MD
Spatial AI for generalized scene reconstruction
Quidient builds Quidient Reality, a platform for Generalized Scene Reconstruction (GSR) that creates photorealistic 5D models of scenes and objects from mobile device videos. It serves Fortune 500 companies and government agencies for applications like automotive inspection and military training. GSR enables accurate virtualization outperforming traditional 3D scanning.
Leads multidisciplinary solutions teams delivering 3D scene reconstruction, software integrations, metrology solutions, customer training, and technical support. The role requires an engineering background, strong customer-facing experience, Python and 3D software expertise, and team management experience.
Staff Deep Learning Research Engineer designing and training novel neural network architectures from scratch for Generalized Scene Reconstruction tasks including anomaly detection, neural rendering, and 3D reconstruction. Requires PhD/Master's, 6+ years deep learning research experience, expertise in 3D vision or SLAM, and hybrid work in Columbia, MD.
Develop and optimize on-device visual-inertial SLAM and sensor fusion pipelines for mobile capture, focusing on accuracy, robustness, low latency, and real-world performance. Requires advanced degree and hands-on experience building production VI-SLAM systems.
Senior Computer Vision Engineer owning end-to-end CV pipelines for Generalized Scene Reconstruction, from preprocessing and feature extraction to depth estimation and segmentation. Requires Master's/PhD (or equiv), production CV pipeline experience, strong PyTorch/C++/Python skills, and hybrid work in Columbia, MD.
Senior Backend Engineer owning API layer, microservices, and AWS cloud infrastructure for 3D scene data processing and delivery in Quidient's GSR platform. Requires 4+ years backend experience, strong AWS and Python/Node.js skills, and hybrid work in Columbia, MD.
Product Manager leading 0-to-1 development of Spatial AI and 3D reconstruction products. Requires 5+ years PM experience with consumer products, deep expertise in 3DGS/NeRFs/computer vision, API/developer platform experience, and strong GTM skills. Hybrid role based in Columbia, MD.
Senior Offline Mapping Engineer owning accuracy and robustness of offline SfM, multi-view stereo, and 3D reconstruction pipelines. Integrates classical geometry with deep learning (learned matching, depth priors) for challenging real-world environments like textureless and reflective scenes. Requires advanced degree, production 3D vision experience, and hybrid work in Columbia, MD.
Leads ML engineering for 3D scene reconstruction platform, driving quality improvements in production pipelines, managing team of engineers and scientists, and coordinating cross-functionally. Requires 7+ years ML experience including 5+ in management, heavy computer vision expertise, and master's degree.
Staff iOS Engineer owns end-to-end delivery of major features for 5D spatial computing apps and SDKs, building high-performance AR experiences with ARKit, RealityKit, and Metal. Requires 7+ years iOS expertise with Swift, 3+ years in 3D/spatial tech, and bachelor's in CS.