Legacy DRAM Yield & Failure Analysis Engineer

Micron; Manassas (VA); In loco; USD 110.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, dental and vision plans

Paid time off

Paid holidays

Descrizione del lavoro

Micron Technology is seeking a PYE Engineer to join the Product Yield Enhancement team, supporting legacy DRAM products throughout manufacturing. The role focuses on yield improvement, reliability, and failure analysis using electrical/physical characterization, AI-supported workflows, and statistical analysis.

You will collaborate with Product, Process, Quality, and Test teams to identify root causes, improve fabrication and assembly processes, and enable stable production for automotive and

Competenze

• Bachelor's degree in a technical field (Electrical/Computer Engineering, Physics, or Materials Science).
• Coursework in VLSI, device physics, semiconductor process, programming, and statistics is desirable.
• Familiarity with AI tools and a willingness to adopt new technologies.

Mansioni

• Perform electrical failure analysis to understand failure mechanisms.
• Identify causes of component failures through statistical data analysis.
• Collaborate with cross-functional teams to resolve fabrication and assembly issues.
• Apply statistical data analysis, data visualization, and AI tools to identify trends and root causes.
• Communicate findings through reports and presentations.

Conoscenze

Electrical Engineering

VLSI knowledge

AI tools familiarity

Statistics

Formazione

Bachelor's degree in Electrical or Computer Engineering, Physics, or Materials Science

Strumenti

AI tools

Descrizione del lavoro

Micron Technology is seeking a PYE Engineer to join the Product Yield Enhancement team, supporting legacy DRAM products throughout manufacturing. The role focuses on yield improvement, reliability, and failure analysis using electrical/physical characterization, AI-supported workflows, and statistical analysis.

You will collaborate with Product, Process, Quality, and Test teams to identify root causes, improve fabrication and assembly processes, and enable stable production for automotive and