Latest AI JobsBrowse Jobs
N

Lead Reinforcement Learning Engineer - Humanoid (Mensch)

neura-robotics-gmbhZurichAI
Apply on company site
Salary
Not listed
Job type
Full-time
Experience
Lead · 8+ yrs
Posted
16 Sept 2026
Status
Open · checked 7d ago

About this role

Neura Robotics GmbH is seeking a Lead Reinforcement Learning Engineer for their humanoid platform in Zurich, targeting professionals with extensive leadership and machine learning backgrounds. This position suits an experienced robotics expert looking to shape autonomous control systems for advanced humanoid hardware.

Role Overview

Neura Robotics GmbH in Zurich is looking for a Lead Reinforcement Learning Engineer to direct the strategy for learning-based control systems on humanoid robots. The person in this role will guide a team of researchers and engineers to advance locomotion, manipulation, and whole-body control for the 4NE1 humanoid platform, bridging research and industrial applications.

Key Responsibilities

Design and oversee the technology roadmap for learning-based behavioral controls, covering reinforcement learning, imitation learning, and robotics foundation models.
Manage the creation and production rollout of advanced control systems for locomotion, loco-manipulation, and whole-body movements on the 4NE1 platform.
Implement scalable processes, frameworks, and quality standards for training, validating, and operating learning-based robotics systems.
Research and integrate modern methodologies like offline learning, teleoperation, motion tracking, and foundation models into industrial uses.
Oversee sim-to-real methods through domain randomization, system identification, physics calibration, actuator modeling, and sensor tuning.
Build, mentor, and expand a high-performing team of reinforcement learning engineers and robotics specialists.
Coordinate closely with controls, perception, platform, software, and hardware teams to integrate learning-based technologies.

Requirements

Completed Master's degree or PhD in robotics, computer science, machine learning, artificial intelligence, or a related discipline.
Minimum of 8 years of professional experience in robotics, reinforcement learning, or machine learning, including several years in a technical leadership position.
Demonstrated success in developing and deploying learning-based robotic systems in production.
Background in leading interdisciplinary research and development teams.
Deep knowledge of robot dynamics and kinematics, whole-body control, motion planning, sensor integration, and sim-to-real transfer methods.
Practical proficiency with Isaac Lab, Isaac Sim, MuJoCo, PyTorch, ROS2, Python, and C++.
Fluency in written and spoken English.

Skills and Tools

Isaac Lab / Isaac Sim
MuJoCo
PyTorch
ROS2
Python
C++
Reinforcement Learning and Imitation Learning
Whole-Body Control and Motion Planning

About the Company

Neura Robotics GmbH develops advanced humanoid robotic platforms, including the 4NE1 platform, focusing on cognitive robotics, adaptive learning-based control systems, and commercial automation solutions.

How to Apply

Candidates should apply directly on the official Neura Robotics GmbH careers page.

Skills and tech stack

Isaac LabIsaac SimMuJoCoPyTorchROS2PythonC++Reinforcement LearningMachine Learning

Questions candidates ask

Where is the job located?

The role is located in Zurich.

What level of experience is required?

Candidates need a minimum of 8 years of professional experience in robotics, reinforcement learning, or machine learning, including several years in a technical leadership role, along with a Master's degree or PhD.

What programming languages and frameworks are used?

The tech stack includes Python, C++, PyTorch, ROS2, Isaac Lab, Isaac Sim, and MuJoCo.

Are language skills specified for this position?

Very good written and spoken English skills are required, and knowledge of German is noted as a significant plus.

Ready to apply?

The application is on the official neura-robotics-gmbh careers page.

Apply on company site