Micron Folsom · San Francisco
Other
Our vision is to transform how the world uses information to enrich life for all.
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.
As an Engineer in the TDT (TD Taiwan) Device Team, you will drive DRAM device development projects supporting technology roadmap enablement, model delivery, performance optimization, reliability improvement, and technology transfer. You will collaborate closely with Technology Development organizations worldwide to advance next-generation CELL technologies from concept development through high-volume manufacturing.
This role requires strong expertise in semiconductor device physics, process integration, electrical characterization, and data-driven problem solving. The successful candidate will provide technical leadership across multidisciplinary teams and leverage advanced analytics, AI-assisted engineering methodologies, and automation tools to accelerate technology development, root-cause analysis, and decision-making.
This role requires strong expertise in semiconductor device physics, process integration, electrical characterization, and data-driven problem solving. The successful candidate will provide technical leadership across multidisciplinary teams and leverage advanced analytics, AI-assisted engineering methodologies, and automation tools to accelerate technology development, root-cause analysis, and decision-making.
Key Responsibilities
Drive DRAM CELL device development projects supporting future technology roadmap requirements.
Lead electrical characterization, margin assessment, performance optimization, and reliability improvement activities.
Collaborate closely with Device, TCAD, Modelling, Design, Process Integration, and Manufacturing teams across global Technology Development sites.
Identify device performance gaps and develop improvement strategies through experimental design, data analysis, and device physics understanding.
Support technology transfer and manufacturing ramp activities by establishing device learning and monitoring methodologies.
Utilize DOE, statistical analysis, and advanced characterization techniques to accelerate development learning cycles.
Develop automated data analysis workflows and AI-assisted methodologies to improve engineering productivity and problem-solving effectiveness.
Apply machine learning, predictive analytics, and large-language-model based tools to identify process-device correlations, accelerate root-cause investigations, and improve development efficiency.
Drive continuous improvement in engineering workflows through digital transformation initiatives, data automation, and AI-enabled solutions.
Contribute to the fundamental understanding of DRAM device behavior and its impact on product performance, reliability, and yield.
Education
Master's or PhD in Electrical Engineering, Physics, Materials Science, Microelectronics, or related field.
Strong understanding of semiconductor device physics, process integration, and characterization techniques.
Experience in DRAM, memory devices, CMOS technologies, or advanced semiconductor development is highly desirable.
Experience with statistical data analysis tools such as JMP, Python, CEDA, MATLAB, or equivalent.
Knowledge of DOE methodologies and experimental optimization techniques.
Experience with TCAD simulation tools (Sentaurus, Silvaco, or equivalent) is a plus.
Familiarity with semiconductor manufacturing, technology development, and technology transfer processes.
AI & Digital Engineering Qualifications
Experience using AI-assisted engineering tools, machine learning, data mining, or predictive analytics in semiconductor development is preferred.
Proficiency in Python, SQL, data engineering, or workflow automation tools is highly desirable.
Experience developing automated analysis, dashboards, engineering agents, or digital solutions for manufacturing and R&D environments is a plus.
Ability to leverage generative AI tools to improve engineering productivity, technical communication, and problem-solving effectiveness.
Strong curiosity and willingness to adopt emerging AI technologies to transform engineering workflows.
Professional Skills
Strong analytical and problem-solving skills.
Demonstrated ability to lead technically complex projects.
Excellent collaboration and communication skills in a global environment.
Strong written and verbal English communication skills.
Mandarin fluency is preferred.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@micron.com.
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
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