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Neura Robotics

Certification Expert – Robotics (human)

Riederich, Baden-Wurttemberg, Germany

Location
Riederich, Baden-Wurttemberg, Germany
Work
On-site
Employment
Full-time
Level
Lead / staff
Function
Engineering
Pay
Not stated
Posted
6 months ago

About the role

At the heart of product innovation and development, our Systems Engineering Department transforms market demands into safe, certifiable, and competitive solutions and architectures. By collaborating closely with software, hardware, safety, and certification teams, we ensure every product meets the highest standards while adapting to fast-evolving market needs. Our mission is to enable seamless human-robot collaboration and deliver solutions that are safe, compliant, and ready for the future. Join us to shape the next generation of human-robot systems by owning system-level requirements, integration, and alignment, with architectural responsibilities as needed. If you thrive in cross-functional teamwork and technical excellence, you’ll find extraordinary opportunities with us.

Your Mission and Challenges

  • Define the Blueprint: Serve as the senior technical authority on certification standards (ISO 13849, ISO 10218, IEC 61508, ISO 12100) and compliance strategies for the entire robotic product portfolio; be the go-to expert for complex certification decisions.
  • Navigate the Unknown: Develop certification strategies for novel robotic architectures (collaborative robots, mobile manipulators, humanoids) where standards coverage is incomplete or evolving; drive risk-based argumentation in semi-standardized domains.
  • Evidence & Argumentation: Build and maintain the certification case structure, defining argumentation frameworks, evidence mapping, and compliance matrices; assess design evidence and test reports for certification sufficiency and technical defensibility.
  • Authority Dialogue: Act as Neura's primary technical liaison with notified bodies (TÜV, SGS, UL, Intertek) and certification authorities at the senior working level; represent the company in complex negotiations on scope, technical feasibility, and conformity routes.
  • Coach & Mentor: Design and deliver targeted training and mentorship programs for the Certification Engineering team; build internal capability on certification strategy, standards interpretation, and notified body engagement.
  • Standards Forecasting: Monitor standards evolution (incl. ISO/TR 23482, ISO 13482, ISO/TR 25785-1, EU AI Act implications, emerging autonomous robotics guidance) and proactively assess impact on certification scope, timelines, and strategy.
  • Knowledge Architect: Document certification strategies, precedents, lessons learned, and risk-based argumentation frameworks to build institutional knowledge and accelerate certification timelines for future products.

What We Can Look Forward To

  • Seniority & Certification Body Background: 5+ years of hands-on experience in product certification, conformity assessment, or regulatory engineering for machinery, robotics, or comparable complex systems; prior experience inside a certification body (TÜV, Exida, SGS, etc.) is a definite advantage.
  • Standards Mastery: Expert-level understanding of EU Machinery Regulation 2023/1230, CE marking, ISO 13849, ISO 10218, IEC 61508, ISO 12100, and EMC/LVD requirements; working knowledge of ISO 26262 and ISO/PAS 21448 (SOTIF) is a strong plus.
  • Risk-Based Argumentation: Demonstrated expertise developing certification strategies for semi-standardized or novel domains where full standards coverage does not exist; able to defend technical argumentation to notified bodies on novel robotic architectures (humanoids, AI-enabled systems).
  • Authority Engagement: Proven track record of collaborative, direct interactions with notified bodies, test laboratories, and certification authorities; experience negotiating scope, timelines, and conformity assessment routes at the technical and organizational level.

Source

Posted by Neura Robotics on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 01:03 UTC; the original is the reference.

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