N
NEURA Robotics
Quality Engineer – Field Return Analysis (human)
Skills
PythonMATLABRData AnalysisCustomer Support
12 days ago
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Important information
Contract type:
Permanent
Location:
72 Riederich, Germany
Work mode:
Onsite
Published on:
16 October 2026
What they need
Your mission & challenges
- You investigate and diagnose returned robots from the field, analyzing mechanical, electrical, and software-related issues.
- You carry out systematic troubleshooting, perform root-cause analyses, and document all results in a clear and structured manner.
- You plan, execute, and evaluate tests to reproduce and validate the identified failure causes.
- You contribute to the development and optimization of testing methods and support the continuous improvement of test processes.
- You derive technical actions and design improvements and work closely with the R&D, Quality, and Manufacturing teams to implement them.
- You assist in evaluating field failure trends and prepare statistical analyses to identify patterns and areas of concern.
- You create technical reports, presentations, and structured lessons learned to effectively share insights across the organization.
- You actively contribute to improving overall product reliability and service quality.
- You support the complaint management process by analyzing root causes and communicating findings with the Service and Customer Support teams.
- You participate in quality-related development of software tools used to test, read out, or diagnose robot components.
What We Can Look Forward To
- You have ideally completed a Master of Science in Mechatronics and previously completed a technical apprenticeship – for example as a mechatronics or electronics technician – possibly within a dual study program such as the Reutlingen, Esslingen or Albstadt model.
- You have strong knowledge in control engineering and experience in programming, such as with Python, C/C++, or MATLAB/Simulink.
- You have expertise in electronics, sensor technology, drive systems and/or robotics, and you are confident in working with measurement equipment, diagnostic tools and laboratory setups.
- You have experience with common problem-solving methodologies such as 8D, Ishikawa, FMEA, 5-Why or other quality tools, and you ideally bring basic knowledge of statistics or data analysis; experience with embedded systems or industrial communication protocols is a plus.
- You think analytically and in a structured manner, and you have strong diagnostic and problem-solving abilities.
- You are highly self-motivated, work independently, and bring a collaborative, communicative working style.
- You document your work precisely and reliably.
- You have very good English skills and good German skills.
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