Computer Vision Engineer

About OdysseyOdyssey is pioneering the next frontier of artificial intelligence by deploying advanced, full-stack computing in orbit. Our mission is to transform satellites into smart, autonomous nodes capable of operating independently of ground support or Earth-based compute. By enabling real-time intelligence and decision-making in space, we're redefining what's possible for space-based infrastructure, communication, and

RoleWe are seeking a Computer Vision Engineer with a passion for building cutting-edge GEOINT AI systems. In this role, you will : Develop advanced computer vision algorithms for geospatial intelligence

AI models that can process and interpret satellite imagery in real-time.Collaborate with cross-functional teams to integrate vision systems into our space-based

to the development of Odyssey's AI-defined full-stack space supercomputer, Odysseus-1.What You'll DoDesign and implement computer vision models for satellite data analysis.Optimize algorithms for performance in constrained computing environments.Work closely with hardware and software teams to ensure seamless

in the full lifecycle of AI model development, from data collection to deployment.Qualifications5-7 years of experience in computer vision and geospatial technologies.Demonstrated expertise in developing and deploying AI models for real-world

in programming languages such as Python, with experience in frameworks like TensorFlow or PyTorch.Strong understanding of satellite imagery and remote sensing

QualificationsExperience with space-based systems or satellite data processing.Background in robotics, drone technology, or autonomous systems.Familiarity with embedded systems and real-time computing constraints.Why Join UsAt Odyssey, you'll be part of a team that's pushing the boundaries of what's possible in space technology. We offer a fast-paced, collaborative environment where innovation is at the forefront. If you're ready to contribute to a mission that's truly out of this world, we'd love to hear from you.