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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Group Lead Quality

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

About the Job

Requirements

  • A technical degree or state-certified technician qualification, for example in mechanical engineering, mechatronics, or electrical engineering.
  • Several years of experience in industrial quality management, ideally in the automotive, mechanical engineering, or robotics industry, and ideally with leadership responsibility.
  • Experience in industrialization, production ramp-up, or series production support.
  • Confident, pragmatic use of FMEA, 8D, and SPC.
  • Negotiation-level German and English.

Responsibilities

  • Lead and develop the quality team with both disciplinary and technical responsibility.
  • Own quality for the assigned area from industrialization through series production, with a focus on prevention.
  • Steer quality planning and inspection strategies, including quality approval of engineering changes.
  • Build lean, scalable quality processes and help shape robust manufacturing processes.
  • Collaborate early and closely with development, production, purchasing, and logistics as the quality representative for the area.
  • Plan and conduct product and process audits and further develop supplier quality.
  • Steer quality through KPIs and lead complex problem-solving, such as 8D, for critical deviations and complaints to prevent recurrence.
  • Establish a strong quality culture throughout the company.
  • Remain actively involved in operational work.

Desired Qualifications

  • An auditor qualification, such as VDA 6.3 or IATF.
  • Experience in supplier quality or metrology.
  • A proactive builder mindset and, ideally, experience establishing a quality organization in a scale-up.

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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