Customer Engineer (AIx Data Analytics-Enabled)
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Job Summary
Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology join us to deliver material innovation that changes the world.
What We Offer
Location:
KulimMYSYoull benefit from a supportive work culture that encourages you to learn develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials we care about the health and wellbeing of our employees. Were committed to providing programs and support that encourage personal and professional growth and care for you at work at home or wherever you may go. Learn more about our benefits.
As a Field Service Engineer Customer Engineer at Applied Materials you serve as the direct liaison with customers collaborating closely to install maintain and upgrade equipment. Youll use digital analytics for troubleshooting and apply basic diagnostic techniques to assess and address technical issues. Your responsibilities include performing preventative and corrective maintenance on various systems such as electrical vacuum mechanical plasma hydraulic and gas systems. Additionally youll coordinate and communicate directly with customers to ensure smooth operations and exceptional service.Role Summary
Develops applied technical and analytical skills through formal training and hands-on experience. Works within established procedures with moderate supervision while increasingly leveraging data analytics and AI-driven insights to improve equipment performance uptime and service quality.
Key Responsibilities
Core Service Delivery
- Performs all standard service activities through Tier I independently; supports Tier II activities with guidance.
- Executes routine preventive maintenance within established timelines and completes high-quality repairs.
- Verifies operational performance of system equipment and ensures compliance with specifications.
AI & Data Analytics Integration
- Utilizes data analytics tools and dashboards to monitor equipment health predict failures and optimize performance.
- Collects cleans and interprets equipment data to identify trends anomalies and improvement opportunities.
- Applies basic AI/ML concepts (e.g. predictive maintenance anomaly detection) to improve decision-making and reduce downtime.
- Collaborates with engineering and digital teams to deploy and refine AI-driven solutions in the fab environment.
Problem Solving & Troubleshooting
- Diagnoses and resolves technical issues using structured methodologies documentation and test equipment.
- Uses data-driven insights in addition to traditional troubleshooting techniques.
- Identifies process hardware or software-related issues and escalates complex problems when necessary.
Customer & Operations Support
- Responds to fab issues participates in escalation calls and communicates effectively with cross-functional teams.
- Supports projects focused on cost reduction yield improvement and uptime optimization including analytics-driven initiatives.
- Takes ownership of customer satisfaction within assigned area and supports coordination of service plans with customer management.
Knowledge Management & Continuous Improvement
- Documents learnings best known methods (BKM) and contributes to knowledge management systems.
- Continuously improves technical and analytical skills staying updated on emerging AI and data analytics tools.
- Applies IP protection and data governance guidelines in all work.
Safety & Compliance
- Complies with all safety procedures and promotes safety as a core value at all times.
Functional Knowledge
- Solid understanding of equipment operations plus foundational data analysis and visualization skills.
- Ability to interpret equipment data and translate insights into actionable improvements.
Business Expertise
- Understands how service activities impact fab operations yield and cost.
- Recognizes the role of data-driven decision-making in improving business outcomes.
Leadership
- No direct supervisory responsibilities; effectively manages own workload.
- Demonstrates initiative in adopting new technologies and analytics tools.
Problem Solving
- Solves routine and moderately complex technical issues independently.
- Uses both analytical (data-driven) and practical approaches to identify solutions.
Impact
- Impacts team performance through service quality and data-informed insights.
- Contributes to improved uptime efficiency and customer satisfaction.
Interpersonal Skills
- Communicates clearly with team members customers and cross-functional partners.
- Able to explain technical and data insights in a simple actionable manner.
Qualifications
Education
- Associates or Bachelors Degree in Engineering Data Science Computer Science or related field.
Experience
- 24 years of experience in semiconductor equipment manufacturing or related field.
- Exposure to data analytics tools (e.g. Python SQL Power BI Tableau JMP etc.) is highly preferred.
- Basic understanding of AI/ML concepts or experience in data-driven projects is an advantage.
Preferred Skills (AIx Focus)
- Data visualization and reporting
- Statistical analysis and trend identification
- Predictive maintenance concepts
- Basic scripting/programming (Python preferred)
- Familiarity with IoT / equipment data systems
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes 10% of the TimeRelocation Eligible:
YesApplied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.
Required Experience:
IC
About Company
Applied Materials, Inc. is the global leader in materials engineering solutions for the semiconductor, flat panel display and solar photovoltaic (PV) industries.
