Field Service Engineer (Software & Automation)

Lam Research GmbH ist ein weltweit führender Anbieter von innovativen Lösungen für die Halbleiterindustrie. Das Unternehmen entwickelt und produziert modernste Ausrüstung für die Herstellung von integrierten Schaltkreisen, die in zahlreichen Hightech-Anwendungen unverzichtbar sind. Mit einem starken Fokus auf Forschung und Entwicklung sowie kontinuierlicher technischer Weiterentwicklung trägt Lam Research maßgeblich zur Optimierung von Fertigungsprozessen bei. Die internationale Ausrichtung und die enge Zusammenarbeit mit Kunden ermöglichen es, stets am Puls der Branche zu agieren und zukunftsweisende Technologien zu realisieren.

Wir bieten Ihnen die Möglichkeit, Teil eines dynamischen Teams zu werden, das technologische Spitzenlösungen gestaltet und implementiert. Nutzen Sie die Chance, Ihre Fähigkeiten in einem innovativen Umfeld weiterzuentwickeln und gemeinsam mit uns die Zukunft der Halbleitertechnik aktiv mitzugestalten. Bewerben Sie sich jetzt bei Lam Research GmbH.

As a Field Service Engineer (Software & Automation) at Lam, you will step into the limelight of customer support and you will work at the intersection of software, automation, data analytics, AI, and field service operations. You will develop digital solutions that enable faster troubleshooting, automate workflows, enhance operational visibility, and transform data into actionable insights. From diagnostics and business intelligence dashboards to predictive support tools, you will help shape the next generation of intelligent service capabilities, driving customer success and operational excellence. In this role, you will directly support our local customer, ESMC Dresden, contributing to the performance and reliability of their advanced semiconductor manufacturing operations.

• Install, maintain, and upgrade semiconductor manufacturing equipment at customer sites.
• Troubleshooting and resolving complex software, hardware, networking, and systems issues using structured diagnostic and root-cause analysis techniques.
• Perform corrective and preventive maintenance to maximize equipment uptime and performance.
• Diagnose and resolve equipment issues involving mechanical, electrical, software, robotics, vacuum, and process systems.
• Execute system calibrations, qualification activities, and hardware or software upgrades.
• Using remote diagnostics, monitoring tools, data analytics, and AI-powered technologies to quickly identify and solve problems.
• Support equipment startup, acceptance testing, and production ramp activities.
• Working closely with Engineering, Field Service, Automation, IT, and Customer teams to improve reliability, productivity, and operational performance.
• Driving continuous improvement through automation, digitalization, predictive diagnostics, and knowledge-sharing initiatives, utilizing Microsoft Power Platform tools, including Power BI, Power Automate, and Power Apps, to create automated workflows and business solutions.
• Ensure compliance with cleanroom protocols, safety regulations, and customer requirements.
• Develop and maintain dashboards, reports, and digital solutions that improve operational visibility and service effectiveness.
• Serve as a trusted technical advisor, providing professional customer-facing support and effective communication across diverse teams and cultures.

Who we're looking for

• Bachelor's/ Master degree in Automation, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related technical field.
• Experience in Field Service, Semiconductor Equipment, Industrial Automation, Electronics, or a similar technical environment.
• Strong troubleshooting and root-cause analysis skills.
• Ability to work on complex electromechanical systems in a cleanroom environment.
• Knowledge of computer systems and equipment software used for diagnostics and troubleshooting.
• Willingness to travel and support customers as required.
• Strong customer-facing communication and teamwork skills.
• Fluent in English and German.

• Experience in semiconductor manufacturing, wafer fabs, or industrial automation.
• Knowledge of MES, Factory Automation, Industry 4.0, or Smart Manufacturing environments.
• Experience with Python, SQL, scripting, log analysis, data analytics, or predictive maintenance solutions.
• Familiarity with AI, Generative AI, Microsoft Copilot, and digital service solutions.
• Experience with vacuum systems, robotics, RF systems, pneumatics, or process control.

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