New Grad DRAM Product Development Engineer

Micron Technology, Inc.; Boise (ID); Presencial; USD 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical plan

Dental plan

Vision plan

Paid time off

Paid holidays

Descripción de la vacante

Micron Technology, Inc. in Boise, Idaho is seeking a New College Grad Engineer to join the DRAM Technology Node Development group. You will participate from silicon bring-up through validation, yield improvement, and ramping production.

The role emphasizes data-driven analysis, collaboration with cross-functional teams, and the use of AI-assisted engineering tools to drive efficiency and accuracy in memory development.

Formación

• Bachelor’s or Master’s degree in Electrical/Computer Engineering, Physics or related field.
• Candidate may be recent graduate with <2 years of experience for Engineer I.
• Foundational understanding of semiconductor devices, CMOS and memory operation.
• Demonstrated problem solving through coursework, internships or projects.
• Ability to analyze engineering data with Python, JMP, MATLAB or Excel.

Responsabilidades

• Support DRAM process-node and product development from validation to ramp.
• Analyze test and characterization data to identify trends and yield issues.
• Assist with memory, logic and analog function optimization and calibration.
• Execute experiments, compare results to expectations, and propose next steps.
• Collaborate with cross-functional teams to resolve process- and test-related issues.

Conocimientos

Problem solving

Data analysis

AI tools

Educación

Bachelor’s or Master’s degree in Electrical Engineering / Computer Engineering / Physics (semiconductor electronics)

Herramientas

Python

JMP

MATLAB

Excel

Descripción del empleo

Micron Technology, Inc. in Boise, Idaho is seeking a New College Grad Engineer to join the DRAM Technology Node Development group. You will participate from silicon bring-up through validation, yield improvement, and ramping production.

The role emphasizes data-driven analysis, collaboration with cross-functional teams, and the use of AI-assisted engineering tools to drive efficiency and accuracy in memory development.