Hiring.Camp

Field Service Engineer (Software & Automation)

Lam Research

·

Today

Location
Tainan, Tainan City,TW, TW · Hsinchu, Hsinchu City,TW, TW · Hillsboro, OR,US, US · Shanghai, Shanghai,CN, CN · Pyeongtaek-si, Gyeonggi-do,KR, KR · Yokkaichi, Mie,JP, JP · Taichung, Taichung City,TW, TW · Kaohsiung, Kaohsiung City,TW, TW · Wuxi, Jiangsu,CN, CN · Tualatin, OR,US, US · Taoyuan, Taoyuan City,TW, TW · SG · Hefei, Anhui,CN, CN · Villach, Carinthia,AT, AT · Boise, ID,US, US · Wuhan, Hubei,CN, CN · Chandler, AZ,US, US · Meylan, Auvergne-Rhône-Alpes,FR, FR · Dresden, SN,DE, DE · Cheongju-si, Chungcheongbuk-do,KR, KR
Type
Full-time
Department
Engineering
Education
Master
Source
Eightfold

Description

## The group you’ll be a part of

The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.

## The impact you’ll make

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.

## What you’ll do

  • 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

Minimum Qualifications:

  • 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.

## Preferred qualifications

  • 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.

## Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Skills

PythonSQLPower BICompliance

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