About the role#
As an AI/ML Workload Analysis Intern, you will work alongside system architects and performance engineers. You will focus on analyzing emerging AI workloads to evaluate next-generation computing and memory architectures. This role involves developing methodologies to characterize memory behavior, generating workload traces, and identifying performance bottlenecks across AI training and inference applications. You will study how LLMs, recommendation systems, vision models, and multimodal AI applications interact with CPUs, GPUs, NPUs, memory subsystems, and interconnects.
What you'll do#
- Analyze AI/ML workloads including LLMs, recommendation models, computer vision, multimodal, and generative AI applications.
- Collect, process, and analyze memory traces from AI training and inference workloads.
- Characterize memory access patterns, locality, reuse behavior, bandwidth utilization, and latency sensitivity.
- Characterize compute, memory, storage, and interconnect behavior across AI training and inference workloads.
- Develop workload traces, performance models, and architecture simulation environments.
- Investigate system bottlenecks related to memory capacity, bandwidth, latency, cache utilization, and communication overheads.
- Evaluate architectural tradeoffs across CPUs, GPUs, NPUs, accelerators, and memory technologies.
- Create automation frameworks for workload execution, data collection, and results analysis.
- Validate simulation and analytical models using benchmark and hardware measurements.
- Present findings through technical reports, visualizations, and architecture reviews.
What you'll need#
- Pursuing an MS or PhD in Computer Engineering, Computer Science, Electrical Engineering, Data Science, or a related field.
- Coursework or research experience in computer architecture, machine learning, deep learning, parallel computing, operating systems, data structures, algorithms, and performance analysis.
- Programming experience in Python and C/C++.
- Strong analytical, problem-solving, and quantitative reasoning skills.
- Excellent written and verbal communication skills.
Location & details#
- This is a full-time, on-site internship position.
- Locations: San Jose, California, or Austin, Texas.
- This position is paid.
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.
