Supplier Quality Engineer

present of AI; Markranstädt; On-site; EUR 60,000 - 80,000; Full time

Job summary

Skeleton Technologies is seeking a Supplier Quality Engineer to ensure external parts and materials meet standards before they reach production. You will audit suppliers, review processes, and drive actions to resolve quality issues, contributing to reliable energy storage solutions for data centers, grids, and defense.

The role emphasizes attention to detail and practical problem solving in a growing AI-enabled quality environment.

Qualifications

• Experience auditing suppliers and reviewing their processes.
• Ability to solve quality problems and prevent recurrence.
• Strong attention to detail and practical mindset to keep supply chains reliable.

Responsibilities

• Audit suppliers to ensure standards are met before production.
• Review supplier processes and quality controls.
• Lead root cause investigations and corrective actions.
• Collaborate with cross-functional teams to maintain supply chain reliability.

Skills

Root cause analysis

Quality data analysis

Problem solving

Attention to detail

Tools

AI data analysis tools

Job description

A supplier quality engineer typically checks that parts and materials from outside suppliers meet the required standards before they reach production. This involves auditing suppliers, reviewing their processes, and solving quality problems when issues come up. For a company making high power energy storage for data centers, grids, and defense, a strong candidate brings attention to detail and a practical approach to keeping supply chains reliable.

How it fits the AI era

AI can help spot patterns in supplier data and predict which parts might fail, making early checks faster. But judging a supplier's real capability, talking through fixes, and deciding what risk is acceptable still depend on human experience. The role shifts toward using AI tools for monitoring while keeping the final call on quality and trust.

How it builds AI experience

Working here would give hands on experience with AI based inspection and data analysis for energy storage components. A candidate can build this by learning common quality data tools and practicing with sensor or test data. Understanding how AI supports supplier audits and defect tracking is useful for this kind of work.

Worth showing

• Root cause analysis
• Quality data analysis
• Energy storage components
• Problem solving

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Skeleton Technologies

Skeleton Technologies makes high-power energy storage systems, including supercapacitors and SuperBatteries, for AI data centers, power grids, transportation and defense (per the company).