About the role
About
the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing toward AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.
About
the Role As a SLAM / Multi-View Geometry Engineer on the Robotics team, you will develop systems that enable robots to perceive, track, and reconstruct the world in 3D from multi-camera and multimodal sensor data. You will work on real-time and offline SLAM pipelines used during teleoperation and robot data collection, as well as scalable systems for reconstructing and tracking 3D structure from large datasets. We’re looking for people who combine strong fundamentals in computer vision with practical experience building robust perception systems. The ideal candidate is comfortable working across classical geometry-based approaches and modern machine learning methods, and enjoys working closely with AI researchers and engineers. This role is based in San Francisco, CA. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: Develop and deploy online SLAM systems used during robotic data collection with multi-camera sensor stacks and teleoperation platforms. Build systems for large-scale 3D reconstruction and point tracking across massive datasets, enabling new approaches to world modeling and perception. Work with research and engineering teams to scale multi-view geometry pipelines to large datasets. Improve the accuracy, robustness, and scalability of perception systems used in robotics data collection and training pipelines. Collaborate across robotics, perception, and ML teams to integrate geometry-based methods with learned models. You might thrive in this role if you: Have industry experience applying SLAM or visual-inertial odometry systems, such as in robotics, self-driving vehicles, AR/VR headsets, or other real-world perception systems. Have a deep understanding of multi-view geometry, camera calibration, bundle adjustment, feature tracking, and sources of error in real-world SLAM systems. Have experience with large-scale data processing pipelines or are excited to learn and work with infrastructure that supports large datasets. Enjoy working in fast-moving environments and collaborating closely with engineers and researchers to ship systems quickly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence
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