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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Quality Engineer

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

About the Job

Requirements

  • A bachelor's or master's degree in mechatronics or a related field.
  • At least 5 years of experience in quality management and development environments.
  • Knowledge of sensors, actuators, control systems, robotics, and programming such as Python or C++.
  • Experience analyzing and measuring electronic and mechanical components.
  • Knowledge of ISO 9001, Six Sigma, statistical process control, failure mode and effects analysis, and 8D.
  • Business-fluent German and good English.

Responsibilities

  • Own product quality across the entire lifecycle, conduct root-cause analyses, and implement sustainable corrective and preventive actions.
  • Plan and conduct product and process audits, and report results to stakeholders.
  • Define quality key performance indicators and build a central Q-Base with dashboards for transparency.
  • Develop a Q-Early-Warning system, a quality assurance matrix, and Launch Control for robust product launches.
  • Investigate production quality issues, guide manufacturing on corrective measures, and promote quality awareness through regular Q-Gemba walks.
  • Serve as the direct contact for escalations and customer complaints, and coordinate resolutions.
  • Collaborate with development to embed quality requirements early in design and process.
  • Maintain quality documentation, including risk assessments, failure mode and effects analyses, and audit reports, and drive continuous improvement.

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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