Computer Vision Engineer in Großmehring, München

Join to apply for the Computer Vision Engineer role at FoundationJoin to apply for the Computer Vision Engineer role at FoundationDirect message the job poster from FoundationSenior Recruiter at Foundation.bot (ex Udemy, Ex Coursera)About UsFoundation is developing the future of general purpose robotics with the goal to address the labor shortage.Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite — it's your talent and determination that truly count.We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work.Our Culture:We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here Website should join:You deeply believe that this is the most important mission for humanity and needs to happen yesterday.You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to “fix” it.You don't need someone to motivate you; you get things done.Why We Are Hiring for This role:To build and maintain robust perception pipelines for our humanoid robots.To integrate state-of-the-art vision models with real-time control and decision-making.To ensure reliable scene understanding in diverse, real-world environments.To develop fast and accurate pipelines for visual grasping, navigation, and human-robot interaction.To support continuous learning from real-world deployment data.What Kind of Person We Are Looking for:Strong background in computer vision, with a focus on deep learning-based methods.Hands-on experience with modern vision architectures (e.g. ViTs, SAM, DINO, Diffusion, Mask2Former,etc.).Proficient with visual SLAM, 6D pose estimation, object detection, and segmentation.Comfortable working with real-time video data on robots in uncontrolled environments.Experience integrating vision with action and control systems in robotics.Fluent in Python and PyTorch; C++ is a plus.Familiarity with ROS2, NVIDIA Isaac, or similar robotics frameworks.Can train, fine-tune, and evaluate large vision models, including with custom datasets.Understands sensor calibration, synchronization, and multi-camera setups.Collaborates well with AI, control, and hardware teams to close the loop from perception to action.Bachelor’s or Master’s degree in Computer Vision, Robotics, or Machine Learning. PhD is a strong plus.We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits.The annual compensation is expected to be between $80,000 - $1,000,000. Exact compensation may vary based on skills, experience, and location.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionReferrals increase your chances of interviewing at Foundation by 2xGet notified about new Computer Vision Engineer jobs in Munich, Bavaria, Germany.Software Engineer (m/w/d) Machine LearningMachine Learning Software Engineer – Optimization & LLM Development (m/f/x)Senior Machine Learning Engineer, Map DataInternship - AI Embedded Software Engineer (Italy Based)Software Engineer (m/w/d) Machine LearningResearch Engineer - Machine Learning for Video CompressionAI Manager und Software Engineer (m/w/d)Robotics Software Engineer, Digital Twin/Simulation and AutomationSimulation and Software Engineer for validating autonomous driving systems (m/f/d)Fullstack Software Engineer for Perception ExperienceWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr