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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Quality Engineer - Field Return Analysis

Quality EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Master of Science degree in Mechatronics is ideal, combined with technical vocational training such as mechatronics technician or electronics technician; a dual-study background is welcome.
  • Sound knowledge of control engineering and programming experience, for example in Python, C/C++, or MATLAB/Simulink.
  • Expertise in electronics, sensors, drive technology, and robotics, including confident use of measurement technology and laboratory setups.
  • Experience with problem-solving methods such as 8D, Ishikawa, FMEA, and 5-Why, plus basic knowledge of statistics and data analysis.
  • Very good English and good German language skills.

Responsibilities

  • Investigate and diagnose field returns, analyzing mechanical, electrical, and software-related problems.
  • Conduct structured root-cause analyses and document the findings precisely.
  • Plan and evaluate tests to reproduce and validate identified causes of failure.
  • Contribute to developing new test methods and continuously improve diagnostic processes.
  • Derive technical actions and design improvements, and work closely with R&D, Quality, and Manufacturing to implement them.
  • Analyze field-failure trends statistically to identify patterns and critical weaknesses early.
  • Create technical reports and lessons learned to share findings across the company.
  • Support complaint management and communicate analysis results to service and support teams.
  • Contribute to the quality-oriented development of software tools for testing and diagnosing robotic components.

Desired Qualifications

  • Knowledge of embedded systems or industrial protocols is a plus.

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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