Quality Engineer

About the role

Applied Materials’ SPG metrology group supports a wide range of business units (BUs) by delivering sample preparation, imaging, and measurement data. As the scope and volume of work continue to grow, maintaining consistent, high-quality output becomes increasingly important.

Responsibilities

• Define and maintain clear quality standards and acceptance criteria across the FIB/TEM metrology group, and ensure they are applied consistently across tools, operators, and shifts.
• Establish and track key quality metrics for FiB/TEM (such as rework rate, time-to-resolve, on-time delivery, and BU satisfaction), and use them to identify trends and drive improvements.
• Serve as the focal point for quality issues and escalations. Lead root-cause analysis, coordinate across teams, and ensure corrective and preventive actions are implemented and followed through.
• Work with BU customers and internal teams to clarify and align requirements upfront (e.g., ROI, cut direction, imaging expectations, deliverables), reducing ambiguity and preventing rework.
• Identify common failure patterns and drive improvements to processes, workflows, and documentation to address them at the system level.
• Develop and introduce practical quality checkpoints within FIB/TEM workflows to improve consistency without slowing down operations.
• Partner closely with engineers, technicians, and BU stakeholders to communicate findings, align expectations, and support continuous improvement across the group.

Qualifications

• B.S. or higher in related field
• 3+ years of experience in quality, metrology, characterization, failure analysis, or process engineering
• Working knowledge of a metrology or lab environment, with the ability to judge whether output meets requirements
• Strong problem-solving skills with a structured, data-driven approach
• Strong communication skills, able to work across teams, clarify unclear requirements, and drive alignment without direct authority

Preferred qualifications

• Experience with semiconductor metrology or electron microscopy (FIB, TEM, SEM)
• Familiarity with quality methods (e.g., SPC, measurement system analysis, DOE, or Six Sigma)
• Experience using data tools (e.g., Python, Power BI, Tableau) for analysis and reporting
• Exposure to automation, data modeling, or data-driven approaches to quality improvement