Robotics Simulation Expert (Mensch)

The role

You will build, configure, and operate complex robotics simulations. You will develop benchmark environments, conduct in-the-loop tests, and analyze the transferability of simulation results to real robot platforms.

What you will do

• Build, configure, and operate complex robotics simulations
• Develop standardized benchmark environments and test cases
• Conduct regular in-the-loop tests
• Evaluate control, planning, and learning approaches using defined metrics
• Design reproducible simulation and evaluation experiments
• Perform systematic ablation studies
• Ensure versioning and documentation of scenarios, configurations, and results
• Analyze transferability of simulation results to real robot platforms
• Identify and quantify Sim-to-Real gaps
• Calibrate simulation parameters for physical realism

Required qualifications

• Bachelor or Master degree in Robotics, Computer Science, Mechanical Engineering, Mechatronics, Computational Engineering, or a comparable field
• At least three years of relevant professional experience in robotics simulation, benchmarking, or model-based evaluation with demonstrable practical experience in research or industry
• Very good knowledge of MuJoCo (contact models, actuation, sensor technology, XML models)
• Experience with multi-GPU accelerated simulation environments such as NVIDIA Isaac Sim or PyBullet
• Confident handling of robot and environment modeling (URDF, MJCF, USD)
• Solid understanding of robotic dynamics, kinematics, and contact physics
• Experience in developing objective metrics and statistical evaluation of simulation results
• Knowledge of structured experiment management, Python-based toolchains, and automation of simulation tests (Batch-Runs, Sweeps, CI-like workflows)
• Experience or strong interest in Sim-to-Real transfer methods
• Good understanding of real robot hardware and its limitations
• Team spirit
• Structured way of working and ability to document and communicate technical results precisely

About the company

NEURA Robotics develops robotics for the future, where simulation is used to evaluate learning and control methods to bridge the gap to the real world.