As a Robotics Software Engineer, you will have the exciting opportunity to be part of an innovative team working at the intersection of robotics, AI, and cutting-edge hardware. Your main responsibility will be to lead the integration of custom actuators and sensors with Jetson GPUs, leveraging the NVIDIA Isaac platform and VLA models to build intelligent robotic systems. Your key responsibilities will include integrating and optimizing custom actuators and sensors with Jetson GPUs, utilizing VLA models to develop intelligent motion control, perception, and decision-making capabilities. You will also be tasked with building and maintaining an application layer on top of VLA workflows to enable seamless interaction between hardware and software components. Collaboration with cross-functional teams to ensure smooth integration of hardware, software, and AI models will be essential. In this role, you will conduct testing, validation, and troubleshooting of robotic systems in both simulated and real-world environments. Staying updated on advancements in robotics and AI technologies will be crucial to incorporate best practices into projects. Additionally, documenting design specifications, development processes, and project outcomes will be part of your responsibilities. To be successful in this role, you should hold a Bachelors or Masters degree in Robotics, Computer Science, Mechatronics, or a related field. Strong experience in integrating robotic hardware with GPUs or similar high-performance computing systems is required. Hands-on experience with vision-language-action models or large language models for robotics perception tasks is a must. Proficiency in programming languages such as Python or C++ for robotics applications, familiarity with the NVIDIA Isaac platform, and expertise in motion control algorithms, reinforcement learning, or imitation learning techniques are essential. Excellent problem-solving skills and the ability to work independently or as part of a multidisciplinary team are key attributes for this role. Knowledge of safety standards for robotic systems is a plus. Preferred skills include experience with synthetic motion generation pipelines or simulation-to-reality transfer techniques. This is a co-founder level position where you will play a crucial role in shaping the future of robotics by building intelligent systems that combine cutting-edge hardware with advanced AI capabilities. Join us in this exciting journey!,
Build the Future of Humanoid Robotics At 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 Opportunity You'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 community Collaborate with an open-source community of brilliant minds Help define the standards for the next generation of humanoid platforms What You'll Do Core Responsibilities: Design and implement control systems for humanoid locomotion, manipulation, and balance Develop and optimize training pipelines for humanoid behaviours using VLAs, RL and imitation learning Build robust simulation environments and sim-to-real transfer workflows Contribute to the core gephr platform architecture—kinematics, dynamics, perception, and control Create comprehensive documentation, tutorials, and examples for the open-source community Collaborate with external contributors and maintain high code quality standards Debug and solve complex robotics challenges in both simulation and hardware Push the boundaries of what's possible with accessible humanoid robotics What We're Looking For Required: Bachelor's or Master's in Robotics, Computer Science, Mechatronics or related field 2+ 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 theory Comfort working with Linux and command-line tools Passion for open source and collaborative development Bonus Points: Experience with VLA models, reinforcement learning and imitation learning Familiarity with humanoid robots or legged locomotion Active GitHub profile with robotics projects Experience with sim-to-real transfer and hardware integration Knowledge of computer vision and sensor fusion Contributions to open-source robotics projects Experience 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 Stack Languages: Python, C++, CUDA Frameworks: ROS2, PyTorch, MuJoCo, NVIDIA Isaac Tools: Git, Docker, CI/CD pipelines Hardware: Real humanoid platforms How to Apply Send us: Your resume Your GitHub profile (we want to see your code!) A brief note about: A robotics problem you're proud of solving Why you're excited about open-source humanoid robotics What you'd contribute to the gephr humanoid training platform Think 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: https://github.com/manoj92/gephr Apply at careers@gephr.com or via LinkedIn. "The future of robotics won't be built behind closed doors—it'll be built in the open, together."