Field Service Engineer (Software & Automation)

Lam Research•Taichung, SN,DE

About The Position

The Field Service Engineer (Software & Automation) works at the intersection of software, automation, data analytics, AI, and field service operations. The role develops digital solutions for faster troubleshooting, automated workflows, improved operational visibility, and actionable insights, including diagnostics, business intelligence dashboards, and predictive support tools. The position directly supports ESMC Dresden and contributes to the performance and reliability of advanced semiconductor manufacturing operations. The engineer installs, maintains, and upgrades semiconductor manufacturing equipment at customer sites; diagnoses and resolves complex equipment and systems issues; performs maintenance, calibrations, qualification activities, and upgrades; and supports equipment startup, acceptance testing, and production ramp. The role collaborates with Engineering, Field Service, Automation, IT, and customer teams, and advances service effectiveness through automation, digitalization, analytics, and knowledge sharing. Work includes using Microsoft Power Platform tools and providing professional customer-facing technical support while following cleanroom protocols, safety regulations, and customer requirements. Lam describes a commitment to inclusion, equal opportunity, and non-discrimination. Work location models vary by role; the posting describes On-site Flex and Virtual Flex models but does not specify which applies to this position.

Requirements

Bachelor’s or master’s 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.
Fluency in English and German.

Nice To Haves

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.

Responsibilities

Install, maintain, and upgrade semiconductor manufacturing equipment at customer sites.
Troubleshoot and resolve 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.
Use remote diagnostics, monitoring tools, data analytics, and AI-powered technologies to identify and solve problems.
Support equipment startup, acceptance testing, and production ramp activities.
Work with Engineering, Field Service, Automation, IT, and customer teams to improve reliability, productivity, and operational performance.
Drive continuous improvement through automation, digitalization, predictive diagnostics, and knowledge-sharing initiatives, using Microsoft Power Platform tools including Power BI, Power Automate, and Power Apps.
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.
Provide professional customer-facing support and effective communication across diverse teams and cultures as a trusted technical advisor.