Production Analytical Solutions (PAS) Developer (m/f/d)

advantestcareers; Böblingen; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

Advantest is seeking an experienced engineer to translate product visions into scalable industrial tooling solutions. You will partner with Product Owners to refine requirements into robust designs and integrate tools into MES and analytics ecosystems for seamless data flow across multi-site production environments.

The role emphasizes strong software engineering, hands-on tooling experience, and a proactive approach to ensuring production-grade reliability and continuous improvement in

Qualifikationen

• Strong software engineering background with experience building scalable, maintainable systems in industrial or production environments.
• Hands-on experience in production tooling or manufacturing systems, ideally including automation, testing, or repair workflows.
• Solid understanding of system integration and data-driven architectures (e.g., APIs, MES, data platforms) within complex environments.
• Proven ability to work in close partnership with product owners and external development partners, contributing to solution design and technical decision-making.
• Strong problem-solving and ownership mindset, with experience supporting production-critical systems and resolving issues under real operational constraints.

Aufgaben

• Translate product vision into scalable technical solutions, partnering closely with the Product Owner to refine requirements into robust system designs.
• Design and implement modular, maintainable, and production-grade tooling, aligned to automation, reuse, and multi-site deployment needs.
• Integrate production tools into the broader ecosystem (e.g., MES, analytics platforms, data pipelines) ensuring seamless data flow and interoperability.
• Support deployment and industrialization at CMs, ensuring tools are stable, compatible, and ready for high-volume production environments.
• Drive technical quality and reliability, including testing, troubleshooting, root-cause analysis, and continuous improvement of production tools.
• Ownership & Integrity
• Embed continuous improvement, transparency, and accountability while role‑modelling Advantest INTEGRITY values.

Ausbildung

Bachelor’s degree in industrial engineering, Computer Engineering or a related technical field; a Master’s degree is a plus

Jobbeschreibung

• Translate product vision into scalable technical solutions, partnering closely with the Product Owner to refine requirements into robust system designs
• Design and implement modular, maintainable, and production-grade tooling, aligned to automation, reuse, and multi-site deployment needs
• Integrate production tools into the broader ecosystem (e.g., MES, analytics platforms, data pipelines) ensuring seamless data flow and interoperability
• Support deployment and industrialization at CMs, ensuring tools are stable, compatible, and ready for high-volume production environments
• Drive technical quality and reliability, including testing, troubleshooting, root-cause analysis, and continuous improvement of production tools
• Ownership & Integrity
• Embed continuous improvement, transparency, and accountability while role‑modelling Advantest INTEGRITY values

• Bachelor’s degree in industrial engineering, Computer Engineering or a related technical field; a Master’s degree is a plus Strong software engineering background, with experience building scalable, maintainable systems in industrial or production environments
• Hands-on experience in production tooling or manufacturing systems, ideally including automation, testing, or repair workflows
• Solid understanding of system integration and data-driven architectures (e.g., APIs, MES, data platforms) within complex environments
• Proven ability to work in close partnership with product owners and external development partners, contributing to solution design and technical decision-making
• Strong problem-solving and ownership mindset, with experience supporting production-critical systems and resolving issues under real operational constraints