Thin-Film Process Development Lead - Data-Driven

Micron Technology, Inc; Boise (ID); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

Micron Technology, Inc. in Boise invites applications for the JR104800 TD CVD/DIFF/IMPLANT Process MDE Manager position within the Films Manufacturing Development Engineering team. You will lead shift-based execution for thin films process development and wafer flow, and mentor engineers.

You will partner with process, integration, and equipment teams, ensure data quality, address customer concerns, and drive improvements using data science and AI-enabled approaches.

Qualifications

• Bachelor’s degree in engineering or related field required.
• Experience in thin films process development including CVD, PVD, or related areas.
• Demonstrated leadership in a technical or manufacturing environment.
• Strong problem-solving and communication skills.
• Understanding of deposition physics, kinetics, or transport phenomena.

Responsibilities

• Lead shift-based execution for thin films process development and wafer flow.
• Manage and develop engineers through coaching, mentorship, and performance feedback.
• Partner with process, integration, and equipment teams to align priorities.
• Ensure data quality, address customer concerns, and resolve yield and defect challenges.
• Drive operational improvements using data science and AI-Enabled approaches.

Skills

Leadership

Data analysis

Communication skills

Problem solving

AI/ML experience

Education

Bachelor's degree in engineering

MS or PhD or equivalent

BS with 10+ years semiconductor experience

Job description

Micron Technology, Inc. in Boise invites applications for the JR104800 TD CVD/DIFF/IMPLANT Process MDE Manager position within the Films Manufacturing Development Engineering team. You will lead shift-based execution for thin films process development and wafer flow, and mentor engineers.

You will partner with process, integration, and equipment teams, ensure data quality, address customer concerns, and drive improvements using data science and AI-enabled approaches.