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Equipment Engineering Manager

amat · Sgp

New
Senior 🇬🇧 English
Dry Etch CVD PVD (Sputter Deposition) Equipment installation Troubleshooting Maintenance Reliability engineering

Job description

About the role

Applied Materials is seeking an Equipment Engineering Manager to lead equipment performance, reliability and operational excellence across Dry Etch, CVD and PVD platforms in a high‑volume semiconductor fab. The role combines deep technical expertise with hands‑on leadership of engineers and technicians to ensure equipment uptime and manufacturing success.

Key responsibilities

  • Own equipment performance, availability, uptime and reliability metrics for Dry Etch, CVD and PVD toolsets.
  • Drive root‑cause analysis of equipment failures, implement corrective and preventive actions, and develop preventive and predictive maintenance strategies.
  • Collaborate with process engineering to translate process requirements into equipment solutions and troubleshoot process‑related equipment issues.
  • Lead, mentor and develop a team of equipment engineers and technicians, managing shift coverage, training plans and performance.
  • Drive continuous‑improvement initiatives, monitor KPIs such as MTBF, MTTR, PM compliance and champion 6S and EHS compliance.

Required profile

  • Bachelor’s degree in Engineering.
  • Minimum 8 years of semiconductor equipment experience, including team lead or technician supervision.
  • Strong technical expertise in at least one of Dry Etch, CVD or PVD (Sputter Deposition) platforms.
  • Proven experience in equipment installation, qualification, troubleshooting, maintenance and reliability engineering.
  • Experience leading engineering/technician teams, workforce planning and skill development.
  • Proficiency with RCA, SPC, FMEA and data‑driven problem‑solving techniques.

Required skills

  • Dry Etch, CVD and PVD (Sputter Deposition) equipment knowledge.
  • Equipment installation, qualification and troubleshooting.
  • Maintenance and reliability engineering.
  • Root‑cause analysis (RCA), statistical process control (SPC) and failure mode and effects analysis (FMEA).
  • Data‑driven problem solving and equipment health monitoring.
  • Understanding of high‑volume semiconductor fab operations.

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Source : ats:workday

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Published 2 days ago

Expires 1 month from now

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amat

Sgp