7 annunci per il ruolo di controller - regensdorf, zh (recruiting in corso)

Dynamics, System Identification & Estimation Engineer - PLA (human)
Neura Robotics —Zurigo, ZH
- 100%
- Dottorato
- Master
- C++
Candidatura rapida
12 giorni
Locomotion & Whole-Body Control Engineer (human)
Neura Robotics —Zurigo, ZH
- 100%
- Dottorato
- Master
- C++
Candidatura rapida
AI Research Engineer - Dexterous Manipulation (Egocentric Models)
Flexion Robotics —Zurigo, ZH
- Dottorato
- Master
- Python
Candidatura rapida
Praktikant Engineering (m/w/d)
RHEINMETALL —Zurigo, ZH
- C++
- Bachelor
- Linux
8 giorni
Bauleiter (m/w/d)
HSSP AG —Zurigo, ZH
- 100%
Elektroniker/ in
Schleuniger Gruppe —Winterthur, ZH
- Bachelor
Senior Elektronik-Ingenieur (w/m/d)
TEQABLE AG —Horgen, ZH
- Part-time
- Inglese
- Master
- C++

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

Neura Robotics -
Zurigo, ZH

Candidatura rapida

Dettagli della posizione

100%
12 giorni fa

Qualifiche

Dottorato
Master
C++
Hardware
Python

Descrizione completa della posizione

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

Candidatura rapida

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controller offerte - regensdorf, zh

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

Locomotion & Whole-Body Control Engineer (human)

AI Research Engineer - Dexterous Manipulation (Egocentric Models)

Praktikant Engineering (m/w/d)

Bauleiter (m/w/d)

Elektroniker/ in

Senior Elektronik-Ingenieur (w/m/d)

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Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di controller nella seguente località: regensdorf, zh

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