Customer Engineer (AIx Data Analytics-Enabled)

Job description

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: Kulim,MYS You’ll 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 possible—while 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. We’re 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. You'll 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, you'll 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 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 Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied 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.