Senior Quality Engineer
Neura Robotics
Senior Quality Engineer
Neura Robotics
Cognitive robots with perception, manipulation, collaboration
Your mission & challenges
You'll take ownership of building and ensuring robust product and process quality for the humanoid robot 4NE1 – from prototype through to industrialization into series production.
Your responsibilities:
Own product and process quality for the 4NE1
Handle customer complaints and build a structured complaint management system
Plan and conduct product, process, and supplier audits
Create and maintain inspection plans, control plans, PFMEA, and quality standards
Build a central quality database and a lessons-learned system
Introduce a Quality Management Board with daily quality routines
Analyze quality deviations (8D, 5 Why, Ishikawa) and define sustainable corrective actions
Define and manage quality KPIs (FPY, PPM, rework, scrap, cost of quality, audit score)
Work closely with development, production, purchasing, logistics, and process engineering
Approve engineering changes and support industrialization
Support EOL testing and product validation
Drive supplier development and quality improvement across the supply chain
Build a zero-defect and continuous-improvement culture
Prepare the organization for series production and customer approvals
You'll be measured by:
First pass yield, PPM, rework rate, audit compliance, engineering change lead time, customer complaints, supplier quality
What we can look forward to
A degree in mechanical engineering, mechatronics, electrical engineering, or a related field
Several years of experience in quality management in the automotive, machinery, or robotics industry
Solid knowledge of APQP, PPAP, PFMEA, 8D, SPC, MSA, and VDA/IATF methods
Experience with production ramp-up and industrialization
A hands-on mentality in a dynamic scale-up environment
Excellent German and English skills
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.
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