AI/ML Workload Analysis Intern, Memory Performance and Power Modeling

Job overview

The AI/ML Workload Analysis Intern, Memory Performance and Power Modeling role is onsite in Austin, TX. Compensation is $50.24–$55.82 per hour. The intern works with system architects and performance engineers to analyze emerging AI workloads and evaluate future computing and memory architectures. The role exists to characterize how AI training and inference workloads use memory and system resources, helping inform architectural decisions for future memory technologies and AI platforms. Through trace analysis, profiling, simulation, and data analysis, the intern identifies bottlenecks and evaluates performance, bandwidth, and scalability.

What you'll do

• Analyze AI/ML workloads
• collect, process, and analyze memory traces
• characterize memory access patterns, locality, reuse, bandwidth, and latency sensitivity
• assess compute, memory, storage, and interconnect behavior
• develop workload traces, performance models, and simulation environments
• investigate system bottlenecks
• evaluate architectural tradeoffs across CPUs, GPUs, NPUs, accelerators, and memory technologies
• automate workload execution and analysis
• validate models against benchmarks and hardware measurements
• present findings in reports, visualizations, and architecture reviews.

What we're looking for

Skills & competencies

micron

austin tx

internship

ai/ml workloads

memory performance

power modeling

memory traces

computer architecture

performance analysis

python

c/c++

ai training

ai inference

$50.24–$55.82/hour

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical, dental, and vision plans
• income protection benefits
• paid family leave
• paid time off
• paid holidays. Additional compensation may include benefits, bonuses, and equity.

Why this role

Internship focused on memory trace-based analysis of AI training and inference workloads and next-generation architecture.

About the employer

Micron Technology, Inc. is hiring for this role. Industry: Semiconductor and Related Device Manufacturing. Sector: 33.