Field Quality Engineer – Service & Reliability

About the role

Applied Materials seeks a Field Quality Engineer to improve service quality, customer satisfaction, and equipment reliability across its installed base. The role links field service teams, engineering, manufacturing, quality organizations, and customers to identify recurring issues, drive root‑cause investigations, and implement sustainable corrective actions.

Key responsibilities

• Analyze field service data, customer feedback, equipment performance trends, and recurring issue patterns to identify quality improvement opportunities.
• Coach field teams on root‑cause investigations and corrective actions for escalations and recurring product/service issues.
• Partner with field service, engineering, manufacturing, customer quality, supplier quality, and business unit teams to resolve complex technical problems.
• Improve the quality and completeness of service documentation, lessons learned, and knowledge assets.
• Develop and track quality metrics, dashboards, and action plans to drive continuous improvement.
• Drive lessons learned, best practices, and knowledge reuse across the organization.
• Support product introductions, ramp readiness activities, and field reliability improvement initiatives.
• Promote a quality culture, first‑time‑right behaviors, issue ownership, and continuous improvement within the field organization.

Required profile

• Bachelor’s degree in Engineering, Quality, Manufacturing or a related technical discipline, or equivalent experience.
• 5+ years experience in quality engineering, field service engineering, manufacturing, customer support, or a related technical role.
• Experience leading root‑cause investigations and corrective actions.
• Strong analytical and problem‑solving skills with the ability to interpret technical data and identify trends.
• Excellent communication and collaboration abilities.
• Ability to work effectively across multiple functions and influence without direct authority.

Required skills

• Root‑cause analysis
• Data analysis and trend identification
• Quality management systems
• Lean Six Sigma methodology
• ASQ certification
• Knowledge of semiconductor equipment