Robotics Simulation Expert (human)

Neura Robotics; Riederich; Presencial; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

NEURA Robotics is seeking a skilled Robotics Simulation Engineer to build and operate complex simulations, create standardized benchmarks, and evaluate learning and control methods with a focus on objective metrics. The role emphasizes reproducibility, version-controlled experiments, and robust documentation of scenarios and results.

You will analyze sim-to-real transfer, calibrate simulation parameters for realism, and collaborate with ML, robotics, and software teams to define benchmarks and

Qualificações

• University degree required in Robotics, Computer Science, Mechanical Engineering, Mechatronics, Computational Engineering, or related field.
• 3+ years in robotics simulation, benchmarking, or model-based evaluation with hands-on research or industry experience.
• Strong MuJoCo expertise and experience with multi-GPU-accelerated simulations (e.g., Isaac Sim, PyBullet).
• Robotics modelling in URDF/MJCF/USD and knowledge of dynamics, kinematics, and contact physics.
• Experience developing objective metrics and statistically evaluating simulation results.
• Knowledge of structured experiment management, Python toolchains, and automation of simulation tests (batch runs, sweeps, CI-like workflows).
• Experience with sim-to-real transfer methods and understanding of real robot hardware limitations.
• Team spirit, structured working style, and ability to document and communicate technical results.

Responsabilidades

• Build, configure, and operate complex robotics simulations.
• Develop standardized benchmark environments and test cases with clear metrics.
• Design reproducible simulation experiments and conduct ablation studies with versioned reports.
• Analyze sim-to-real transfer, quantify gaps, and calibrate simulation parameters.
• Collaborate with ML, robotics, and software teams; present results to stakeholders.

Conhecimentos

MuJoCo expert

Python scripting

Experiment design

Statistics & metrics

CI workflows

Team collaboration

Formação académica

Bachelor's or Master's in Robotics / CS / ME / Mechatronics

Ferramentas

NVIDIA Isaac Sim

PyBullet

URDF/MJCF/USD

Descrição da oferta de emprego

The robotics of the future isn't just developed on real machines — it's built in simulation first. At NEURA Robotics, we're looking for someone who doesn't just operate complex simulation environments, but uses them systematically to objectively evaluate learning and control methods, and to pave the way from simulation to the real world.

Your mission & challenges

• Simulation, Benchmarking & Evaluation: You build, configure, and operate complex robotics simulations. You develop standardized benchmark environments and test cases, run regular in-the-loop tests, and evaluate different control, planning, and learning approaches against clearly defined metrics.
• Experiment Design & Reproducibility: You design reproducible simulation and evaluation experiments, conduct systematic ablation studies, and ensure clean versioning and documentation of scenarios, configurations, and results — including structured benchmark reports.
• Sim-to-Real & Model Validation: You analyze the transferability of simulation results to real robot platforms, identify and quantify sim-to-real gaps (e.g. dynamics, sensor noise, contact models), and calibrate simulation parameters for maximum physical realism.
• Collaboration & Interfaces: You work closely with ML, robotics, and software teams, jointly define benchmarks and quality thresholds with NEURA, and present simulation results clearly and accessibly to technical stakeholders.
  

What We Can Look Forward To

• A university degree (Bachelor's or Master's) in Robotics, Computer Science, Mechanical Engineering, Mechatronics, Computational Engineering, or a related field
• At least three years of relevant professional experience in robotics simulation, benchmarking, or model-based evaluation — with proven hands-on experience in research or industry
• Strong expertise in MuJoCo (contact models, actuation, sensors, XML models) and experience with multi-GPU-accelerated simulation environments such as NVIDIA Isaac Sim or PyBullet
• Confident handling of robot and environment modelling (URDF, MJCF, USD) and a solid understanding of robotic dynamics, kinematics, and contact physics
• Experience developing objective metrics and statistically evaluating simulation results
• Knowledge of structured experiment management, Python-based toolchains, and automation of simulation tests (batch runs, sweeps, CI-like workflows)
• Experience with or strong interest in sim-to-real transfer methods, as well as a good understanding of real robot hardware and its limitations
• Team spirit, a structured working style, and the ability to document and communicate technical results with precision