New College Grad - DRAM Product Reliability Characterization Engineer

Micron Technology • Boise, ID

10d

About The Position

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s DRAM Technology group operates at the forefront of memory innovation, bringing together engineers across global sites and cultures. The team emphasizes collaboration, inclusion, and shared learning to deliver industry‑leading DRAM products. The DRAM Product Reliability Characterization Engineer plays a critical role in ensuring the long‑term reliability of current and next‑generation DRAM technologies. This role focuses on designing and driving reliability characterization, developing predictive models, and advancing reliability methodologies that inform technology improvements and qualification decisions.

Requirements

• Master’s or PhD in electrical engineering, physics, or a related field.
• Hands‑on engineering experience demonstrating technical depth and problem‑solving capability.
• Strong analytical skills with the ability to work across multiple engineering fields.
• Effective communication skills to clearly present complex technical findings to diverse audiences.

Nice To Haves

• Experience with reliability or device modeling, including physics‑based, statistical, or machine learning approaches.
• Laboratory or bench experience with semiconductor test equipment, reliability stress systems, or electrical characterization tools.
• Understanding of CMOS process technology and common degradation mechanisms.
• Familiarity with digital and analog CMOS circuit operation.
• Experience with Python or similar scripting languages for data analysis and automation.
• Knowledge of DRAM architecture and operation.

Responsibilities

• Perform and coordinate DRAM reliability characterization, including stress test design, simulation, data collection, and failure analysis.
• Develop reliability models to predict product lifetime under both field‑use and accelerated stress conditions.
• Deploy automation and AI‑driven solutions to enhance reliability prediction capabilities.
• Analyze large‑scale reliability datasets to identify degradation trends, failure mechanisms, and early‑warning indicators.

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level