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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

System Integration Engineer - Mensch

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Master's or PhD in Robotics, Systems Engineering, Electrical Engineering, Computer Science, or a related discipline.
  • More than 3 years of experience integrating complex mechatronic or autonomous systems in robotics, automotive, or aerospace, including taking at least one product from integration through market launch or field deployment.
  • Cross-domain experience with actuators, sensors such as IMUs, force/torque sensors, vision, and LiDAR, real-time controllers, and distributed computing systems.
  • Experience with software-in-the-loop and hardware-in-the-loop systems, ROS 2, simulation tools such as Isaac Sim, Gazebo, and MuJoCo, and fieldbus protocols such as EtherCAT, CAN, DDS/RTPS, and Ethernet/TSN.
  • Experience deriving requirements, specifying interfaces, applying V-model processes, and using traceability tools such as DOORS, Polarion, or Jama.
  • Knowledge of Python and C/C++ for test automation and data analysis, and familiarity with continuous integration and continuous delivery.
  • Ability to handle hardware, software, and mechanical failure modes and facilitate cross-team solutions.
  • Basic knowledge of functional safety and cybersecurity standards, including ISO 13849, ISO 10218, and ISO/SAE 21434, at the integration level.

Responsibilities

  • Integrate hardware and software subsystems into verified robotic products, from collaborative arms to humanoid platforms, and define build sequences, integration stages, and incremental bring-up strategies for complex mechatronic systems.
  • Derive and track system-level requirements across hardware and software integration, and design and maintain interface control documents for mechanical, electrical, data, and communication interfaces while respecting sub-architecture ownership.
  • Define system verification and validation test strategies, build software-in-the-loop, hardware-in-the-loop, and physical test setups, and conduct integration campaigns from test bench through full-system commissioning.
  • Use simulation-to-reality and digital-twin environments to reduce risks early.
  • Analyze system-level failures at hardware, software, and mechanical boundaries; conduct root-cause analyses and implement corrective actions.
  • Work with safety, cybersecurity, and certification teams to verify cross-cutting requirements at the integration level.
  • Own integration baselines, configuration management, and release documentation, and feed lessons learned into architecture development.

About the Company

Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.

Company size
501-1,000
Company stage
Series C
Total funding
$1.7B
Headquarters
Metzingen, Germany
Founded
2019

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