Lead Reinforcement Learning Engineer - Humanoid (human)

The role

You will define and execute the strategy for learning-based humanoid control. You will lead a team of reinforcement learning engineers and researchers to develop locomotion, manipulation, and whole-body control for the 4NE1 humanoid platform.

What you will do

• Define and drive the strategic roadmap for learning-based humanoid behaviors.
• Lead the development and deployment of advanced control policies on the 4NE1 humanoid platform.
• Establish scalable frameworks, processes, and quality standards for learning-based systems.
• Evaluate, adapt, and industrialize state-of-the-art approaches.
• Bridge cutting-edge research and real-world applications.
• Spearhead sim-to-real transfer efforts.
• Ensure robust deployment of learned policies on physical humanoid robots.
• Build, mentor, and lead a high-performing team of reinforcement learning engineers and roboticists.
• Provide technical direction and coaching.
• Work with Controls, Perception, Platform, Software, and Hardware teams to integrate capabilities.

Required qualifications

• Master's or Ph.D. in Robotics, Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 8+ years of experience in robotics, reinforcement learning, or machine learning, including several years in technical leadership or lead roles.
• Proven track record of building and deploying learning-based robotic systems in production environments.
• Demonstrated success leading multidisciplinary engineering and research teams.
• Strong understanding of robot dynamics and kinematics, whole-body control, motion planning, sensor integration, and sim-to-real transfer methodologies.
• Hands-on experience with Isaac Lab / Isaac Sim, MuJoCo, PyTorch, ROS2, Python, and C++.
• Ability to bridge academic research and industrial deployment.
• Strategic thinker capable of shaping long-term technology roadmaps.
• Outstanding stakeholder management and communication skills.
• Passion for mentoring and building world-class engineering teams.
• Strong ownership mindset with a proven ability to drive ambitious projects to completion.
• Excellent English communication skills.

Nice to have

• German language skills are highly desirable.

About the company

NEURA Robotics develops cognitive robotics at scale.