Top Computer Vision Jobs in Denver & Boulder, CO

Develop, train, and optimize computer vision and ML models (particularly video-based safety) using petabyte-scale camera and sensor data. Deploy and optimize models for backend and edge inference, collaborate with cross-functional teams, and translate customer needs into scalable ML/CV solutions.

Build and ship computer-vision models end-to-end: dataset curation, training, deployment, and monitoring across cloud and roadside edge hardware. Optimize for high-volume inference, accuracy, efficiency, and real-world robustness while collaborating cross-functionally and iterating rapidly.

The Computer Vision Engineer III designs and implements AI software for visual data processing, leads integration into satellites, mentors junior engineers, and ensures high-performance computer vision systems.

Develop, optimize, and deploy computer vision, image processing, and ML algorithms for geospatial and photogrammetric applications. Produce production-quality C++/Python software, prototype ML solutions, analyze large imagery datasets, participate in system design and code reviews, and collaborate with cross-functional teams to improve system accuracy and AI-enabled workflows.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

Design, train, test, deploy, and maintain deep learning computer vision models focused on sensor fusion and target tracking. Collaborate cross-functionally to implement real-time, embedded and GPU-accelerated systems (Python, C/C++, Rust, CUDA/RAPIDs), contribute to fire control system development, and support architecture and deployment (microservices, Kubernetes) for space and missile-warning solutions. Requires security clearance.

Lead research, design, and production implementation of computer vision and ML solutions. Define architectures, run experiments, own model lifecycle (data, training, evaluation, deployment), optimize inference, set MLOps standards, mentor engineers, and collaborate with product and engineering teams to deliver production-quality CV features.

Design, implement, test, and maintain scalable C++ software for autonomous vehicle and perception systems. Work across full SDLC, support vehicle testing, simulation-based regression, data acquisition/analysis from remote vehicles, root-cause analysis, and mentor engineers while collaborating with ML researchers and cross-functional teams.

Lead design and integration of perception algorithms and sensor fusion for autonomous navigation, targeting, and situational awareness. Define perception architecture and strategy, drive object detection/tracking/classification and real-time implementations, support HITL/SITL and flight testing, mentor engineers, and coordinate with GN&C, avionics, and systems teams to validate performance for on-orbit and national security missions.

Design, develop, and maintain Java-based, cloud-native image-processing services on GCP. Build REST APIs, image pipelines, and AI-enabled capabilities (OCR, classification, redaction). Implement secure coding, IAM, CI/CD, infrastructure-as-code, and observability. Collaborate with DevOps, QA, product, and security stakeholders and support deployments and production troubleshooting.