Top Computer Vision Jobs in Denver & Boulder, CO

Lead design and implementation of computer vision systems for mapping, localization, image analysis, and 3D reconstruction on construction site data. Develop and optimize SLAM/SfM/VIO, deep learning perception models, and multi-modal approaches. Prototype, test, oversee datasets and collaborate with platform engineers to productionize scalable, robust solutions.

Lead development of orthomosaic tile imagery products for FireSat and SBEM: design and implement scalable mosaicking, orthorectification, and radiometric normalization algorithms; write production-ready code; author technical and customer-facing documentation; validate scientific quality; engage stakeholders and act as product owner for SBEM granule product; collaborate with engineers and scientists.

Remote entry-level Computer Vision Engineer to fetch and preprocess unstructured data, build image/video pipelines with OpenCV/scikit-image/Pillow, and develop deep learning models (TensorFlow/PyTorch) including CNNs, RNNs and autoencoders for real-world applications. Work as an individual contributor on product development within a lean team and collaborate with data scientists.

Lead perception vision, strategy, and roadmap for AV perception. Drive advances in detection, classification, tracking, fusion, and prediction; design sensor suites; define KPIs; hire and manage engineering teams; coordinate cross-functional deployment and issue resolution to ensure robust commercial autonomy performance.

Lead UI/UX engineering for cloud-enabled AI/ML mission systems supporting maneuver, surveillance, and engagement. Design and prototype interfaces (computer vision, sensor fusion, dashboards), test and evaluate performance on operational datasets, analyze results, optimize for robustness and cyber resilience, troubleshoot deployed systems, produce technical documentation, and mentor team members while liaising with government stakeholders.

Lead the development of AI-driven OCR and Image Recognition solutions, focusing on innovation, strategy, and team management in the retail sector.

Pre-sales Technical Solutions Architect focused on Physical AI: translates customer business problems into computer vision and robotics solutions, scopes and architects prototypes and POCs, enables sales teams, and develops practice content. Leads solution design across classical and modern vision toolkits, video and spatial intelligence, partners with ecosystem vendors, and builds business cases for deployments.

Pre-sales Technical Solutions Architect for Physical AI focusing on computer vision, video and spatial intelligence, and robotics. Engage customers and sales teams to qualify opportunities, design solutions, run proofs-of-concept, build business cases, collaborate with partners, and create technical content to develop the Physical AI practice.

Develop novel machine learning methods to enhance computer vision solutions, identify areas for innovation, and translate research into scalable production systems.

Join an R&D team to develop image-processing and computer-vision algorithms for 2D/3D scene segmentation, design experiments to detect long-tail model failures, and explore deep learning models and active learning methods to improve autonomous robotic vision systems.