7 beste Stellen als hardware design engineer in esslingen – aktuell auf Personalsuche

Dynamics, System Identification & Estimation Engineer - PLA (human)
Neura Robotics —Metzingen
- Vollzeit
- Doktorat
- Master
- C++
Direkt bewerben
6 Tage
Senior ASIC validation Engineer (m/f/d)
Advantest —Böblingen
- Informatik
- Datenanalyse
- Java
Lead Software Engineer - Photonic Ecosystem (f/m/d)
Q.ANT GmbH —Stuttgart
- Vollzeit
- Englisch
- C++
- Erfahrung mit Netzwerken
Direkt bewerben
Senior PIC Characterization Engineer - TFLN / High-Speed (f/m/d)
Q.ANT GmbH —Stuttgart
- Vollzeit
- Doktorat
- Datenanalyse
- Master
Direkt bewerben
Group Lead AI Engineering (human)
Neura Robotics —Metzingen
- Vollzeit
- Azure
- Doktorat
- Informatik
Direkt bewerben
10 Tage
Group Lead AI Engineering (Mensch)
Neura Robotics —Metzingen
- Vollzeit
- Azure
- Doktorat
- Informatik
Direkt bewerben
10 Tage
Advanced Materials Engineer, Humanoid Systems (Mensch)
Neura Robotics GmbH —Metzingen
- Vollzeit
- Englisch
6 Std.

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Dynamics, System Identification & Estimation Engineer - PLA (human)

Neura Robotics -
Metzingen

Direkt bewerben

Details zur Stelle

Vollzeit
vor 6 Tagen

Qualifikationen

Doktorat
Maschinenbau
Master
C++
Elektrotechnik
Robotik
Python

Vollständige Stellenbeschreibung

Your Mission & Challenges

Dynamic model accuracy ownership: defining model fidelity metrics and owning the gap between simulation behaviour and real-hardware behaviour across dynamic motion and contact-rich interactions
System identification on 4NE-1 hardware: motor constants, joint friction, transmission dynamics — excitation trajectory design, regressor fitting, observability analysis, iterative refinement against hardware data
Simulation model authoring and maintenance: MuJoCo and Isaac Sim models that match real-world behaviour under dynamic loading and contact; contact model parameterisation, actuator model calibration
Real-time state estimation: floating-base EKF/UKF implementation and tuning for pelvis pose, velocity, and foot contact state at RT loop rates; feeds downstream controllers and loco-manipulation policy inputs
Sim-to-real pipeline: parameter estimation loops, hardware-data-driven calibration, validation against motion capture or external reference systems — the continuous feedback loop between hardware campaigns and updated sim models
Failure mode ownership: debugging model-accuracy-driven failures — control instability from inaccurate dynamics, estimation drift or bias causing divergence, incorrect contact/force estimation leading to instability in dynamic interactions
Cross-team interface: supplying updated Pinocchio model parameters to the WBC and State Estimation Engineers in Core Robot Software; aligning on excitation trajectory designs with the Locomotion and RL/Control Engineers

What we can look forward to

MSc or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or a related field with a strong foundation in dynamics, estimation, and control
4+ years of experience developing state estimation or system identification solutions for real-time robotic systems — on real hardware, not simulation-only
System identification on physical robotic systems: excitation trajectory design, least-squares or maximum-likelihood regressor fitting, actuator and transmission parameter identification
State estimation implementation: EKF or UKF for floating-base pose, velocity, and contact state on a legged or mobile robot platform
Rigid body dynamics depth: contact modelling, actuator behaviour, and how model inaccuracies propagate to control instability — not just theoretical familiarity
Experience supporting control systems (MPC, WBC) or learned policies (RL) through hardware deployment — understanding how model quality gates policy transfer
C++ for production RT systems; Python for analysis, tooling, and calibration pipelines

Nice to Have

Humanoid or legged robot hands-on experience — 4NE-1 is a full-size humanoid; bipedal dynamics and contact complexity are directly relevant
Differentiable simulators for gradient-based system identification (Brax, DiffTaichi, or comparable)
Sim-to-real transfer methodology: domain randomisation, adaptive calibration, residual physics modelling
Pinocchio for rigid-body model computation and parameter sensitivity analysis
MuJoCo model authoring: MJCF contact parameters, actuator models, tendon dynamics
Factor graph-based estimation (GTSAM, iSAM2) for tightly-coupled IMU + kinematics fusion
Publications or open-source contributions in legged robot dynamics, system identification, or sim-to-real transfer

Direkt bewerben

Erweiterte Suche

hardware design engineer Jobs in esslingen

Dynamics, System Identification & Estimation Engineer - PLA (human)

Senior ASIC validation Engineer (m/f/d)

Lead Software Engineer - Photonic Ecosystem (f/m/d)

Senior PIC Characterization Engineer - TFLN / High-Speed (f/m/d)

Group Lead AI Engineering (human)

Group Lead AI Engineering (Mensch)

Advanced Materials Engineer, Humanoid Systems (Mensch)

Ich möchte aktuelle Job-E-Mails für Stellen als hardware design engineer in esslingen erhalten

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