Neura Robotics

Reinforcement Learning Expert - Humanoid (human) at Neura Robotics (Zurich, Switzerland)

Neura Robotics· Zurich, Switzerland·

Role details

Employment
Full-Time

Neura Robotics at a glance

German cognitive-robotics company building humanoid and collaborative robots that see, hear, feel, and learn to work alongside people.

NEURA Robotics designs cognitive robots (humanoids, collaborative arms, and mobile bases) plus the AI and platform that run them, all built in-house. Its flagship 4NE1 humanoid targets industrial workflows and everyday assistance, and the Neuraverse platform links deployed robots into a shared learning network.

~$1.7B+ raised · latest: Series C · up to $1.4B · June 2026 · backed by Tether, Amazon, NVIDIA, Qualcomm

Job description

Your mission & challenges

Together, we are taking the step into a new era of cognitive robots: As an Expert in Reinforcement Learning and Behavior Cloning for Humanoid Robots at NEURA Robotics, you will lead the development and implementation of cutting-edge algorithms and systems. You will collaborate closely with our robotics engineering team to enhance the autonomy, adaptability, and interaction capabilities of our humanoid robots. This includes:

  • Improve the learning pipeline for robust locomotion and loco-manipulation on the 4NE1 humanoid, from policy training to validated on-robot deployment
  • Explore and adapt cutting-edge methods (behavior foundation models, general motion tracking, teleoperation) and ship to customers and other teams.
  • Drive sim-to-real transfer (domain randomization, actuator modeling, physics alignment) to deploy policies from simulation onto real hardware with minimal performance gap.
  • Integrate reinforcement learning and behavior cloning approaches to enable robots to learn from both simulated and real-world interactions.
  • Collaborate with controls, hardware, and perception teams to ensure seamless integration of algorithms with robot hardware and sensors.
  • Conduct experiments and simulations to evaluate and validate algorithmic performance in various scenarios.

What we can look forward to

  • Master’s or Ph.D. in Robotics, Computer Science, or a related field
  • Proficiency in programming languages like Python, C++ with hands-on experience in robotics frameworks (e.g., ROS2) and robotic hardware platforms
  • Experience in developing and deploying reinforcement learning algorithms and behavior cloning techniques for robotic systems, with a strong grasp of humanoid robot dynamics, control theory, and sensor integration.
  • Hands-on experience with Isaac Lab / Isaac Sim and/or MuJoCo, and PyTorch.
  • Strong analytical skills and a proven ability to deliver innovative solutions in robotics, ideally including a track record of publications or contributions to conferences and journals
  • Your communication skills make you shine
  • You have a perfect command of the English language and, best of all, speak German well

Why work at Neura Robotics

  • Culture: "Passion for Winning" — achievement-driven, self-responsible culture with flat hierarchies. Values include trust, honesty, speed, and "We Are Human" (people at the heart of everything).
  • Flexibility: Flexible working hours, 30 days of vacation, and a hybrid-friendly environment.
  • Team: Over 1,400 employees from more than 45 countries — highly skilled, international team of experts.
  • Growth & Development: Support for personal and professional growth via Udemy training platform and more.
  • Compensation: Competitive salary package with exclusive employee discounts.
  • Perks: Summer parties, company town hall meetings, and regular team celebrations.
  • Impact: Opportunity to work on cutting-edge cognitive robotics and AI that directly addresses labor shortages and makes a meaningful societal impact.
  • Diversity: Explicitly welcomes applications from all backgrounds, emphasizing building a team that reflects the world.
  • Application Process: Fast — initial feedback within a few days, interviews scheduled within two weeks.

Application questions