New Grad DRAM Yield & Quality Engineer

Micron Technology; Boise (ID); On-site; USD 65,000 - 90,000; Full time

Job summary

Micron Technology in Boise, Idaho, invites applications for a New College Graduate DRAM Yield & Quality Engineer. You will monitor and improve the health of server DRAM products, analyze silicon parametric, test, and manufacturing data, and contribute to strategies that boost yield, quality, and performance across the product lifecycle.

Collaborate with fab, test, module, quality, and operations teams, develop automation to enhance data analysis and reporting, and explore AI-powered tools to

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field.
• Graduating within 12 months or up to 2 years of relevant experience.
• Experience with semiconductor devices, yield analysis, testing or manufacturing processes helpful.
• Experience developing scripts, automation tools, or AI-assisted solutions to improve productivity.

Responsibilities

• Analyze silicon parametric, test, and manufacturing data to identify trends and support root cause investigations.
• Contribute to yield and quality improvement initiatives across NPI, qualification, ramp, and high-volume manufacturing.
• Collaborate with fab, test, module, quality, and operations teams to drive product health objectives.
• Develop and maintain automation solutions to improve engineering efficiency, data analysis, and reporting.
• Apply AI and Generative AI tools to enhance workflows and support data-driven decisions.

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field

Job description

Micron Technology in Boise, Idaho, invites applications for a New College Graduate DRAM Yield & Quality Engineer. You will monitor and improve the health of server DRAM products, analyze silicon parametric, test, and manufacturing data, and contribute to strategies that boost yield, quality, and performance across the product lifecycle.

Collaborate with fab, test, module, quality, and operations teams, develop automation to enhance data analysis and reporting, and explore AI-powered tools to