Customer Engineer (AIx Data Analytics-Enabled)

Applied Materials
Malaysia
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 2-4 yearsEducation: bachelorsSkills: ["Initiative","Communication","Problem-solving","Customer focus"]

Serve as the direct customer liaison to install, maintain, and upgrade semiconductor and display manufacturing equipment. Deliver Tier I service independently, execute preventive maintenance, and troubleshoot using structured methods plus digital analytics. Use data analytics and basic AI/ML concepts to monitor equipment health, predict failures, and improve uptime and service quality. Coordinate with customers and cross-functional teams while following safety and compliance requirements.

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FursaFursa
Applied Materials
Applied Materials
1 month ago

Customer Engineer (AIx Data Analytics-Enabled)

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Last checked: 37 minutes agoStatus: Live

Job Summary

Serve as the direct customer liaison to install, maintain, and upgrade semiconductor and display manufacturing equipment. Deliver Tier I service independently, execute preventive maintenance, and troubleshoot using structured methods plus digital analytics. Use data analytics and basic AI/ML concepts to monitor equipment health, predict failures, and improve uptime and service quality. Coordinate with customers and cross-functional teams while following safety and compliance requirements.
Location: Malaysia
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Perform standard service activities through Tier I independently and support Tier II with guidance.
  • •Execute routine preventive maintenance, complete repairs, and verify operational performance against specifications.
  • •Use data analytics tools and dashboards to monitor equipment health, predict failures, and optimize performance.
  • •Diagnose and resolve technical issues using structured methodologies, documentation, and test equipment, escalating complex problems as needed.
  • •Coordinate with customers and cross-functional teams, document learnings, and improve uptime, efficiency, and service quality while following safety procedures.
Travel: Low travel

Key Requirements

  • •Associate’s or Bachelor’s Degree in Engineering, Data Science, Computer Science, or related field.
  • •2–4 years of experience in semiconductor equipment, manufacturing, or related field.
  • •Exposure to data analytics tools such as Python, SQL, Power BI, Tableau, or JMP.
  • •Basic understanding of AI/ML concepts or experience in data-driven projects.
  • •Ability to interpret equipment data and translate insights into actionable improvements.
Experience:2-4 yearsSemiconductor equipmentManufacturingData analytics
Education:Bachelor's
Skills:InitiativeCommunicationProblem-solvingCustomer focus
Tech Stack:AI/MLPythonSQLPower BITableauJMPData analyticsIoT

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
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