Real-Time Robotics Dynamics & State Estimation Engineer

NEURA Robotics; Germany (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

NEURA Robotics seeks a seasoned robotics engineer to own dynamic model fidelity, conduct system identification on a real humanoid or mobile robot, and deliver robust real-time state estimation for pose, velocity, and contact state. You will integrate MuJoCo/Isaac Sim models with hardware data and deploy EKF/UKF for RT loop updates.

This role emphasizes C++ production RT work and Python tooling, with collaboration across controls, estimation, and hardware teams to ensure reliable sim-to-real

Qualifications

• MSc or PhD in Robotics, Mechanical Eng, Electrical Eng, or related field.
• 4+ years of experience developing state estimation or system identification on real hardware.
• Experience with excitation trajectory design and regressor fitting.
• Proficiency in C++ for production RT systems and Python for analysis.

Responsibilities

• Own dynamic model fidelity metrics and bridge simulation vs real-hardware behaviour.
• Perform system identification on 4NE-1 hardware.
• Develop and maintain simulation models in MuJoCo and Isaac Sim.
• Implement EKF/UKF for floating-base pose and contact state.
• Support control systems (MPC, WBC) and learned policies through hardware deployment.
• Collaborate with Pinocchio model parameters with Core Robot Software.

Skills

State estimation

System identification

C++ development

Python programming

Robot dynamics

MPC/WBC deployment

Education

MSc or PhD in Robotics or related field

Tools

MuJoCo

Pinocchio

GTSAM

iSAM2

Kalman filtering

Job description

NEURA Robotics seeks a seasoned robotics engineer to own dynamic model fidelity, conduct system identification on a real humanoid or mobile robot, and deliver robust real-time state estimation for pose, velocity, and contact state. You will integrate MuJoCo/Isaac Sim models with hardware data and deploy EKF/UKF for RT loop updates.

This role emphasizes C++ production RT work and Python tooling, with collaboration across controls, estimation, and hardware teams to ensure reliable sim-to-real