DRAM Process Integration Engineer — Shape Next-Gen Memory

Micron Technology; Boise (ID); On-site; USD 110,000 - 140,000; Full time

Job summary

Micron Technology in Boise, Idaho, is seeking a Process Integration Engineer for its DRAM R&D Memory Group to advance next-generation memory technology. You will develop structural and electrical requirements for modules and collaborate with Design, Process Development, Yield, and Manufacturing to transfer new solutions into production.

Responsibilities include designing new process flows, specifying design rules, running DOE studies, and using data analysis to improve yield and reduce cost.

Qualifications

• Knowledge of mainstream memory technologies such as DRAM, NAND, NOR, SRAM.
• MS or higher in Electrical Engineering, Physics, or related field.
• Expertise in device physics and process integration.
• Proficiency with data analysis, DOE, and statistical techniques.

Responsibilities

• Engineer and develop novel process flows for critical modules with specs and rules.
• Optimize flows to improve performance and reduce future memory chip costs.
• Design experiments and analyze results using statistical methods (DOE).
• Collaborate cross-functionally with Design, Process Development, Modeling and Manufacturing.
• Summarize problems, propose actions, and drive consensus for solutions.
• Manage sub-milestones within overall program timelines.
• Collaborate with Manufacturing to transfer new tech from R&D to production.

Skills

Memory technologies

Device physics

Process integration

DOE & statistics

Data analysis

Education

MS in EE or Physics

PhD (preferred)

Job description

Micron Technology in Boise, Idaho, is seeking a Process Integration Engineer for its DRAM R&D Memory Group to advance next-generation memory technology. You will develop structural and electrical requirements for modules and collaborate with Design, Process Development, Yield, and Manufacturing to transfer new solutions into production.

Responsibilities include designing new process flows, specifying design rules, running DOE studies, and using data analysis to improve yield and reduce cost.