Customer Engineer (AIx Data Analytics-Enabled)

## 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

• Associate’s or Bachelor’s Degree in Engineering, Data Science, Computer Science, or related field.

### Experience

• 2–4 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

## Qualifications

### Education:

Associate's Degree (Required), Bachelor's Degree (Required)

### Skills

### Certifications:

### Languages:

### Years of Experience:

2 - 4 Years

### Work Experience:

## Additional Information

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### Shift:

Day (Malaysia)

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### Travel:

Yes, 10% of the Time

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### Relocation Eligible:

Yes

### Referral Payment Plan:

Employee Referral (Enhanced)

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.