Robotics Engineer

Build the Future of Humanoid Robotics

Robotics Engineer

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:

Open Source First:

Learning Culture:

Flexibility:

Community:

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:

1. Your resume
2. Your GitHub profile (we want to see your code!)
3. 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?

Start contributing to the gephr humanoid training platform and we'll know this is your calling:

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."