About the role#
This internship focuses on the Cloud Memory Business Unit, where we define and incubate next-generation memory and system architectures for datacenter and AI workloads. You will help build and validate a system-modeling capability to evaluate memory-centric architectures across rack-scale AI platforms. This role involves translating AI workload trends into specific memory requirements and quantifying architectural tradeoffs to inform product direction.
What you'll do#
- Analyze AI training and inference workloads to determine memory bandwidth, capacity, and latency needs.
- Contribute to analytical and simulation models that evaluate memory-centric system architectures.
- Assess system-level tradeoffs related to emerging memory and integration technologies.
- Benchmark models against reference data to ensure accuracy and reproducible results.
- Produce analyses on system-level performance, efficiency, and cost to support architectural decisions.
What you'll need#
- Current enrollment in an M.S. or Ph.D. program in Computer Architecture, Computer Engineering, Electrical Engineering, or a related field.
- A strong background in computer architecture and system-level performance analysis.
- Proficiency in Python for building analytical models and performing data analysis.
- Ability to analyze complex memory and AI performance challenges.
Location & details#
- This is a full-time, paid internship.
- Work is performed on-site in Folsom, CA or San Jose, CA.
- The hourly pay range for this position is $50.24 to $55.82.
About Micron Technology
Micron Technology produces memory and storage solutions including DRAM, NAND, and NOR products. The company operates as a public organization with over 43,000 employees. Founded in 1978, it maintains its headquarters in Boise, Idaho. Micron serves various markets ranging from data centers to mobile devices.
How to get in at Micron Technology
Applying early is a distinct advantage at Micron Technology because recruiters often review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you get your application in among the first. This timing ensures your resume is seen while the team is still actively building their shortlist. You can reach out to recruiters directly to ask about the role or a referral, which often improves your response rate compared to waiting in a queue. Intern Insider surfaces the specific recruiters behind these roles, allowing you to bypass the generic portal and make a professional connection. This approach turns a standard application into a direct conversation.
