Responsibilities
Support the evaluation of DRAM access devices, capacitors, and cell stack elements through characterization, data analysis, and assessment of new device architectures, materials systems, and integration schemes.
Design and implement silicon experiments; perform electrical, physical, and materials characterization along with statistical analysis to find opportunities for device, process, and design improvements.
Analyze device- and array-level behavior including sensing margins, activation characteristics, disturb mechanisms, retention performance, leakage behavior, and read/write operation interactions.
Collaborate with modeling, design, process integration, and manufacturing teams to understand device behavior, support technology optimization, and contribute to technology development activities.
Apply AI-Assisted and Generative AI tools, where appropriate, to enhance data analysis, workflow efficiency, and technical decision-making.
Minimum Qualifications
Currently pursuing an M.S. or Ph.D. in Electrical Engineering, Materials Science, Applied Physics, Chemical Engineering, or a related technical field. Cannot graduate prior to September 2027.
Demonstrated understanding of semiconductor fundamentals, including device physics, materials science, characterization techniques, and concepts relevant to advanced memory technologies.
Experience with electrical characterization, device testing, statistical analysis, and interpretation of experimental or simulation data sets.
Familiarity with DRAM operational concepts, including activation, sensing, retention, and disturb mechanisms.
Proficiency with data analysis and scripting tools such as Python, MATLAB, JMP, or similar platforms, along with familiarity with AI-assisted engineering and data analysis tools.
Preferred Qualifications
Experience in DRAM or NAND device development, characterization, or technology research.
Hands-on experience with semiconductor materials characterization, process development, thin film engineering, interface engineering, TCAD simulation, and/or advanced memory technology research.
Knowledge of semiconductor fabrication processes, advanced BEOL integration, reliability mechanisms, and device variation analysis.
Experience conducting independent research projects and effectively communicating technical results to diverse audiences.
Experience using AI, Large Language Models (LLMs), AI-enabled analytics, or AI-supported engineering workflows to improve research productivity and technical insights.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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