--- title: 'Dynamics, System Identification & Estimation Engineer - PLA (human) at Neura Robotics' canonical: 'https://feeny.ai/job/dynamics-system-identification-estimation-engineer-pla-human-neura-robotics-7y267fwhvpwh' type: 'job' last_seen: '2026-11-10' --- # Dynamics, System Identification & Estimation Engineer - PLA (human) at Neura Robotics - **Company:** [Neura Robotics](https://feeny.ai/companies/neura-robotics) - **Location:** Metzingen, Germany / Riederich, Germany - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-01 - **Last confirmed live:** 2026-11-10 - **Apply:** https://jobs.ashbyhq.com/neura-robotics-gmbh/6e94e373-b040-4cc3-8ffc-677b7239c2a2/application **Skills:** C++, Python, EKF, UKF, System Identification, State Estimation, Rigid Body Dynamics, Contact Modelling, Actuator Behaviour, MPC, WBC, RL, MuJoCo, Isaac Sim, Pinocchio, Least-squares, Maximum-likelihood, Humanoid Robotics, Legged Robotics, Differentiable Simulators > Own dynamic model accuracy, system identification, and real-time state estimation for humanoid robotics hardware. Develop sim-to-real pipelines and maintain high-fidelity simulation models to support control systems and loco-manipulation policies. ## Job description ## 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 4NE1 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 — 4NE1 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 ## About Neura Robotics ## Company Overview - **One-liner**: NEURA Robotics develops cognitive robots that see, hear, feel, and learn, designed to work alongside humans in industrial, service, and household settings. - **Entity Type**: Private (Series C — raised up to $1.4 billion as of 2025/2026) - **Headquarters**: Metzingen, Germany (with offices in Bielefeld and Munich, and US locations in preparation) - **Founded**: 2019 - **Founders**: David Reger ## Core Business - **Primary industry/industries**: Cognitive Robotics, Humanoid Robotics, Industrial Automation, AI - **Target customers**: B2B (industrial clients, integrators, strategic partners); also B2C via household robots like MiPA - **Mission or purpose statement**: "We serve humanity by creating robots that give people back their time for what matters most. Our mission is to expand human potential through cognitive robotics that work safely alongside us." ## Products & Services - **4NE1**: Production-ready humanoid robot designed for industrial workflows and everyday assistance, powered by proprietary AI (AURA). Built for mass production. - **MAiRA (Multi-sensing Intelligent Robotic Assistant)**: The world's first cognitive robot arm — a collaborative robot that senses, responds, and adapts. - **LARA (Lightweight Agile Robotic Assistant)**: Collaborative industrial robot for agile, lightweight automation tasks. - **MiPA (My Intelligent Personal Assistant)**: Humanoid service and household robot for home assistance. - **MAV (Multisensing Autonomous Vehicle)**: Mobile transport robot for logistics and material handling. - **NEURA OmniSensor**: Proprietary sensor technology enabling robots to perceive their environment. - **Neuraverse**: A global platform connecting robots, developers, and partners into a shared intelligence network where every deployment makes each robot smarter. Also serves as a marketplace for robotics applications. - **NEURA Gyms**: Real-world training facilities where robots learn complex tasks in controlled environments to generate high-quality data for AI model validation. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Total investment >€100 million in 2023; Series C up to $1.4 billion (2025/2026); 2024 revenue in mid-double-digit million euros; 2025 target: triple-digit million euros - **Notable Investors/Partners**: Lingotto Investment Management, BlueCrest Capital Management, InterAlpen Partners, Vsquared Ventures, HV Capital, Delta Electronics, C4 Ventures, Primepulse, L-Bank, Volvo Cars Tech Fund. Strategic partners include Qualcomm, Bosch, Schaeffler, NVIDIA, and AWS. - **Growth Signals**: Over 1,400 employees from more than 45 countries (up from 300+ in 2024). Four of the world's ten largest robotics companies use NEURA's technology under their own brand. Deployed across Europe, US, China, and Japan. Europe's first production-ready humanoid robot (4NE1) launched. ## Competitive Advantages - **Full vertical integration**: Develops all software, hardware, and platform technologies in-house, giving full control over performance, safety, and reliability. - **Cognitive robotics pioneer**: Coined the term "cognitive robotics" — robots that perceive, learn, and adapt in real-time, unlike traditional industrial robots. - **Neuraverse platform**: World's first platform connecting cognitive robots into a shared intelligence network, creating a data moat as every deployment improves all robots. - **White-label partnerships**: Four of the top 10 global robotics companies OEM NEURA's technology, creating deep industry lock-in. - **Diverse product range**: From collaborative robot arms (MAiRA, LARA) to humanoids (4NE1, MiPA) and autonomous vehicles (MAV), covering industrial, service, and household use cases. ## Strategic Focus - **Scaling production**: Rapidly scaling robot production to meet growing demand, with Europe's first production-ready humanoid robot. - **Expanding the Neuraverse**: Building the world's largest repository of real-world robotics data through shared learning across all deployed robots. - **Global expansion**: Establishing US operations and strengthening presence in Japan and China. - **B2B platform strategy**: Moving beyond hardware to become a platform company via the Neuraverse marketplace and NEURA Gyms. - **Partnership ecosystem**: Deepening relationships with strategic partners like Bosch, Schaeffler, Qualcomm, NVIDIA, and AWS. ## Why Work Here - **Culture**: "Passion for Winning" — achievement-driven, self-responsible culture with flat hierarchies. Values include trust, honesty, speed, and "We Are Human" (people at the heart of everything). - **Flexibility**: Flexible working hours, 30 days of vacation, and a hybrid-friendly environment. - **Team**: Over 1,400 employees from more than 45 countries — highly skilled, international team of experts. - **Growth & Development**: Support for personal and professional growth via Udemy training platform and more. - **Compensation**: Competitive salary package with exclusive employee discounts. - **Perks**: Summer parties, company town hall meetings, and regular team celebrations. - **Impact**: Opportunity to work on cutting-edge cognitive robotics and AI that directly addresses labor shortages and makes a meaningful societal impact. - **Diversity**: Explicitly welcomes applications from all backgrounds, emphasizing building a team that reflects the world. - **Application Process**: Fast — initial feedback within a few days, interviews scheduled within two weeks. ## Sources 1. [neura-robotics.com](https://neura-robotics.com/) 2. [press.neura-robotics.com](https://press.neura-robotics.com/factsheet-neura-robotics-en/) 3. [neura-robotics.com/company-about-us](https://neura-robotics.com/company-about-us/) 4. [jobs.neura-robotics.com](https://jobs.neura-robotics.com/) 5. 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