Field Service Engineer 3

The group you’ll be a part of

The impact you’ll make

As a Field Service Engineer at Lam, you will step into the limelight of customer support. Your work goes beyond installations and troubleshooting; it ensures the operational excellence of our complex semiconductor equipment. You're on the front lines, understanding customer needs and collaborating with various teams to deliver solutions.

What you’ll do

• Lead the on-site qualification and evaluation of Dextro™ cobot systems on new chambers, including all tasks.

  Review and align Dextro mechanical architecture specifications with customer fab space constraints, safety requirements, and EH&S standards for Y1 new fab deployment.

  Define and validate Dextro/AMR communication interface specifications including HW/SW protocols, cabled and wireless data links, Host/FA integration, and SECS/GEM-based tool communication for cobot-to-equipment data exchange.

  Support AMR integration planning including automated spare parts delivery workflows, Robot Fleet Management System concepts, and Digital Twin simulation for maintenance scenario validation.

  Collaborate with EI-Service team to develop Dextro feed-forward systems that leverage EI-DH data for predictive cobot task scheduling, performance analytics dashboards, and maintenance quality assurance (FTR, G2G, UWC KPI tracking).

  Review and map Dextro operational data formats to customer specifications, manage EI-DH data ingestion pipelines for cobot performance logging, and align data-sharing protocols with Customer's Smart Fab infrastructure teams.

  Coordinate Dextro application development milestones with CSBG Product Group, prioritize task sequences based on customer VoC, and manage cross-functional issue tracking and action item closure.

  Conduct safety and fab readiness reviews per SEMI S2, ISO/TS 15066, ISO 10218-1, and KC Mark certification standards, ensuring compliance for cobot deployment in cleanroom environments.

  Provide weekly status reporting, documentation, and cross-solution integration handshake with EI/AI, Software & FA, and Equipment & Platform teams.

Who we’re looking for

Minimum Qualifications:

• Bachelor's degree in Mechanical Engineering, Robotics, Mechatronics, Computer Engineering, or related field and 5+ years of experience; or Master's degree with 3+ years; or equivalent work experience.

  Previous experience in robotics, automation systems, cobot deployment, or preventive maintenance engineering in semiconductor manufacturing or similar high-tech cleanroom environment.

  Proficiency in interpreting mechanical drawings, electrical schematics, and robot system architecture diagrams including end-effector design, motion planning, and safety zone configurations.

  Working knowledge of industrial communication protocols (e.g., SECS/GEM, EDA, OPC-UA, gRPC, MQTT or REST API) for equipment-to-host and robot-to-equipment data exchange.

  Able to work in a clean room environment while wearing personal protective safety equipment or cleanroom suit.

  Frequently position oneself (e.g., bend, stoop, reach, walk, sit, twist, squat, kneel, climb, stand) to perform job tasks for extended periods.

  Able to travel domestically and internationally based on customer needs, with flexibility to work a variety of shifts including compressed and alternative workweeks.

Preferred qualifications

• AI skill (M365 Copilot, Github-copilot)
• Proficiency in basic computer skills and familiarity with common office software including Microsoft Office Suite.
• Communication skills, both written and verbal, in English.
• Foundational analytical and problem-solving skills.
• Experience with collaborative robot (cobot) systems such as Universal Robots, Fanuc CRX, or similar platforms, including programming, calibration, and end-effector integration.(Optional)
• Familiarity with AMR (Autonomous Mobile Robot) fleet management, navigation systems, and warehouse-to-fab logistics automation.(Optional)
• Knowledge of Digital Twin simulation tools (e.g., SEMulator3D, Omniverse, or equivalent) for maintenance scenario modeling and validation.(Optional)

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.