Robotics Engineer

Build the Future of Humanoid RoboticsAt gephr Labs, we're not just building robots—we're democratizing humanoid robotics for the entire world. We're looking for a talented  Robotics Engineer  to join our mission of making humanoid robot development accessible to everyone through our open-source humanoid training platform.The OpportunityYou'll be at the forefront of humanoid robotics, contributing to gephr's open-source humanoid training platform that's changing how the world trains and deploys humanoid robots. This isn't just another engineering role; it's a chance to shape technology that thousands of developers, researchers, and companies will build upon.What makes this role special:Your code will be public, impactful, and used by the global robotics communityCollaborate with an open-source community of brilliant mindsHelp define the standards for the next generation of humanoid platformsWhat You'll DoCore Responsibilities:Design and implement control systems for humanoid locomotion, manipulation, and balanceDevelop and optimize training pipelines for humanoid behaviours using VLAs, RL and imitation learningBuild robust simulation environments and sim-to-real transfer workflowsContribute to the core gephr platform architecture—kinematics, dynamics, perception, and controlCreate comprehensive documentation, tutorials, and examples for the open-source communityCollaborate with external contributors and maintain high code quality standardsDebug and solve complex robotics challenges in both simulation and hardwarePush the boundaries of what's possible with accessible humanoid roboticsWhat We're Looking ForRequired:Bachelor's or Master's in Robotics, Computer Science, Mechatronics or related field2+ years of hands-on experience in robotics (manipulation, locomotion, or mobile robotics)Strong programming skills in Python and C++Experience with robotics frameworks (ROS/ROS2, MuJoCo, PyBullet, Isaac, or similar)Solid understanding of kinematics, dynamics, and control theoryComfort working with Linux and command-line toolsPassion for open source and collaborative developmentBonus Points:Experience with VLA models, reinforcement learning and imitation learningFamiliarity with humanoid robots or legged locomotionActive GitHub profile with robotics projectsExperience with sim-to-real transfer and hardware integrationKnowledge of computer vision and sensor fusionContributions to open-source robotics projectsExperience with modern ML frameworks (PyTorch, JAX, TensorFlow)Why Gephr Labs?Impact:  Your work will be used by researchers, hobbyists, and companies worldwide. Every commit you make helps democratize advanced robotics.Open Source First:  We believe the future of robotics is open. Full transparency, community-driven development, and standing on the shoulders of giants.Learning Culture:  Work with cutting-edge technology daily. We encourage experimentation, rapid iteration, and learning from failures.Flexibility:  We trust you to do great work. Remote-friendly with flexible hours because great engineering doesn't happen on a fixed schedule.Community:  Join a passionate community of robotics enthusiasts who contribute, collaborate, and push each other to build amazing things.The StackLanguages:  Python, C++, CUDAFrameworks:  ROS2, PyTorch, MuJoCo, NVIDIA IsaacTools:  Git, Docker, CI/CD pipelinesHardware:  Real humanoid platformsHow to ApplySend us:Your resumeYour GitHub profile (we want to see your code)A brief note about:A robotics problem you're proud of solvingWhy you're excited about open-source humanoid roboticsWhat you'd contribute to the gephr humanoid training platformThink you're a fit but don't check every box?  Apply anyway. We value passion, curiosity, and the drive to learn just as much as experience.Start contributing to the gephr humanoid training platform and we'll know this is your calling: at or via LinkedIn."The future of robotics won't be built behind closed doors—it'll be built in the open, together."