Staff Engineer - Photolithography Process Development (NAND)

About the role

Micron is hiring a Staff Engineer to lead module-level photolithography process development for advanced NAND technology nodes. The role owns process robustness, manufacturability and readiness for technology transfer, requiring strong technical depth, execution leadership and the ability to turn device requirements into reliable, scalable process solutions.

Key responsibilities

• Lead development, optimization and troubleshooting of photolithography processes to meet yield, quality and performance requirements.
• Translate device and integration requirements into robust process flows, specifications and control strategies.
• Perform and own material evaluations, OPC/layout development, process window analysis and overlay optimization.
• Design and implement advanced process control using SPC, DOE and lithography simulation tools.
• Own delivery of photolithography process milestones from development through transfer readiness.
• Partner with global R&D and manufacturing teams to ensure effective technology transfer.
• Work with equipment and materials suppliers to evaluate new capabilities and improvements.
• Contribute to invention disclosures and technical documentation.
• Use AI-assisted tools to improve efficiency, quality or effectiveness, in line with organizational standards and legal requirements.

Required profile

• PhD with at least 3 years, or Master's with at least 5 years, or Bachelor's with at least 7 years of relevant experience in Electrical Engineering, Materials Science, Chemical Engineering, Physics or a related field.
• Demonstrated experience in semiconductor photolithography process development.
• Proven track record contributing to and accomplishing photolithography process and equipment roadmaps.
• Preferred: experience with advanced DUV and exposure to EUV, supplier interaction and early technology adoption.

Required skills

• Deep knowledge of optics, immersion lithography, polarized illumination and low k1 imaging.
• Lithography simulation tools, material characterization, DOE and SPC.
• Basic statistical data analysis.