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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

System Test Engineer - Humanoid, Human

Hardware Validation & TestingPosted on Nov 10
Full-timeZürich, SwitzerlandNo salary listedIn-person

About the Job

Requirements

  • A degree in Mechanical Engineering, Mechatronics, Robotics, Systems Engineering, or a related field.
  • Several years of experience testing complex mechatronic or robotic systems.
  • Experience owning verification, validation, or system testing activities across multiple disciplines.
  • Strong understanding of system-level interactions between hardware, actuators, sensors, software, and controls.
  • A structured, hands-on, and documentation-driven approach to engineering.
  • Ability to move between detailed technical investigations and broader system-level implications.
  • Experience testing complex robotic, mechatronic, automotive, aerospace, industrial automation, or similar systems.
  • Experience creating test strategies, test plans, and test cases from requirements.
  • Root-cause analysis and troubleshooting of multidisciplinary system failures.
  • Experience with test automation using Python or similar scripting languages.
  • Familiarity with version control systems such as Git and modern development workflows.
  • Familiarity with requirements traceability tools such as Jira, Polarion, or DOORS.
  • Hands-on experience with test rigs, instrumentation, data acquisition, or validation environments.

Responsibilities

  • Own the overall verification and validation strategy for 4NE1 across component, subsystem, and full-system levels.
  • Define and maintain test plans, coverage, acceptance criteria, and release readiness processes.
  • Derive test cases from system requirements and ensure traceability throughout the development lifecycle.
  • Collaborate with mechanical, software, controls, autonomy, and safety teams to ensure comprehensive system validation.
  • Provide objective release recommendations based on test evidence and risk assessments.
  • Design and continuously improve quality control procedures for robot testing during development and production.
  • Define scalable test workflows, reporting standards, failure classification schemes, and verification processes.
  • Establish testing best practices that can be applied consistently across future platform generations.
  • Drive improvements in test efficiency, repeatability, and automation.
  • Plan and execute functional, endurance, environmental, reliability, and integration testing.
  • Validate robotic subsystems such as actuators, joints, gearboxes, sensors, control systems, and complete robot assemblies.
  • Perform thermal, endurance, motion, vibration, and robustness testing where applicable.
  • Investigate failures and drive root-cause analysis together with development teams.
  • Analyze test data and generate actionable recommendations for hardware and software improvements.
  • Build, maintain, and improve test rigs and validation environments.
  • Develop automated test procedures and data collection pipelines.
  • Contribute to and expand internal test infrastructure, including AwesomeConfig, MotionFaster, and DriveTestBench.
  • Support CI/CD-based validation workflows and automated regression testing where applicable.
  • Help define the future testing architecture for humanoid robot development and manufacturing.

Desired Qualifications

  • Experience testing humanoid robots, mobile robots, manipulators, or other complex robotic systems.
  • Experience with ROS or ROS2.
  • Familiarity with actuators, gearboxes, motion control systems, and robotic drivetrains.
  • Experience contributing to internal testing frameworks and developer tooling.
  • Data analysis using Pandas, Grafana, InfluxDB, or similar tools.
  • Experience with CI/CD validation pipelines and automated regression testing.
  • Familiarity with simulation environments such as Gazebo, Isaac Sim, or MATLAB/Simulink.
  • Functional safety awareness, including ISO 13849, IEC 61508, or IEC 62061.
  • Environmental, endurance, vibration, or reliability testing experience.
  • A basic understanding of embedded systems and communication protocols such as CAN, EtherCAT, or Ethernet.

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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