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Micron Technology
Intern - HBM Design Architect | MS or PhD Student
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What they do
A Software Architect develops and defines the architecture for computer software and applications projects. Oversees the entire software development process; may manage projects for multiple clients. Analyzes customer or user needs, defines system architecture, and leads team of software developers to design programs and build applications.
$139,478 / year median in Texas
+17% projected growth
Job Description
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. ### About the Team At Micron Technology, we transform how the world uses information to enrich life for all. The Heterogeneous Integration Group (HIG) HBM Architecture team develops next-generation High-Bandwidth Memory (HBM) solutions that enable advancements in Artificial Intelligence, high-performance computing, networking, and data center technologies. The team collaborates across architecture, design, verification, packaging, product engineering, and system engineering to evaluate innovative memory technologies and drive future product development. ### ### Position Overview As an HBM Design Architect Intern, you will work alongside experienced architects and engineers to evaluate HBM and DRAM architecture concepts, develop analytical models, and investigate design tradeoffs affecting performance, power, thermal behavior, reliability, and manufacturability. This internship provides hands-on experience in semiconductor architecture analysis while offering opportunities to leverage AI Assisted engineering workflows, Large Language Models (LLMs), and Generative AI technologies to support design exploration and engineering productivity. ### ### Responsibilities
- Analyze HBM and DRAM architecture tradeoffs related to timing, bandwidth, power, area, thermal performance, reliability, and design complexity using analytical, simulation, and AI Assisted methodologies.
- Develop first-order models, simulations, and data-analysis tools to compare design alternatives, identify key sensitivities, and support architecture pathfinding studies.
- Collaborate with architecture, circuit design, verification, layout, packaging, product, and system engineering teams to evaluate implementation feasibility and technology tradeoffs.
- Review simulation, experimental, and silicon data to perform root-cause analysis, validate assumptions, improve model accuracy, and develop evidence-based recommendations.
- Apply Large Language Models (LLMs), Generative AI, and AI Assisted engineering workflows to enhance engineering analysis, technical research, and productivity while documenting and presenting findings to multi-functional teams. ### Minimum Qualifications
- Currently pursuing a Master's or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field and returning to the degree program following completion of the internship.
- Strong academic foundation in at least two of the following areas: CMOS circuits, digital or mixed-signal design, semiconductor devices, computer architecture, memory systems, thermal sciences, power delivery, signal integrity, or advanced packaging.
- Experience using engineering analysis, modeling, or simulation tools through graduate research, coursework, laboratory projects, or internships.
- Demonstrated ability to define assumptions, perform technical analysis, evaluate results, and communicate evidence-based conclusions.
- Strong problem-solving, analytical, written communication, and verbal communication skills. ### Preferred Qualifications
- Graduate research, internship, thesis, dissertation, or project experience related to HBM, DRAM, SRAM, memory controllers, high-speed interfaces, semiconductor architecture, or 3D integrated circuit technologies.
- Experience with transistor-level simulation or schematic-entry tools such as HSPICE, FineSim, Spectre, or similar platforms.
- Understanding of timing, power, area, performance, thermal, and reliability tradeoffs in advanced semiconductor products.
- Familiarity with AI workloads and the impact of memory bandwidth, latency, capacity, power, and thermal characteristics on system performance.
- Experience using data analytics, Large Language Models (LLMs), Generative AI, or AI Assisted engineering workflows to improve technical insight, design exploration, or productivity.
For US Sites Only:
To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3) 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.Fraud alert:
Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.Benefits
- Paid Time Off (PTO)
- Health Insurance
- Dental Insurance
- Vision Insurance