AI Memory Systems Research Intern

Micron Technology, Inc.; Richardson (TX); On-site; USD 30,000 - 39,000; Part time

Benefits offered by this job

Medical, Dental and Vision plans

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. is seeking an intern to join the Storage and Memory Systems Pathfinding team in Richardson, TX.

You will research AI workloads, model and benchmark future memory/storage architectures, and collaborate with architects, researchers and engineers to influence Micron's long-term memory roadmap. Ideal candidates are pursuing Bachelor's, Master's or PhD in CS/CE/EE with knowledge of computer architecture, AI/ML, and Python; experience with PyTorch, TensorFlow or JAX is a plus.

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in Computer Engineering, Electrical Engineering, Computer Science or related field.
• Strong understanding of computer architecture, AI/ML, HPC concepts.
• Experience with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, JAX or similar.

Responsibilities

• Research emerging AI workloads and future memory/storage architectures.
• Analyze tradeoffs across performance, power, cost, bandwidth, capacity, latency, and scalability in AI systems.
• Develop models, simulations, benchmarks, and analytical tools to evaluate concepts.
• Characterize AI workloads on CPUs, GPUs, accelerators, and memory-centric platforms.
• Collaborate with architects and engineers to communicate findings and support proofs-of-concept.

Skills

Python

AI/ML

Computer architecture

Communication

Collaboration

Education

Bachelor's/Master's/PhD in CS/CE/EE

Tools

PyTorch

TensorFlow

JAX

Job description

Micron Technology, Inc. is seeking an intern to join the Storage and Memory Systems Pathfinding team in Richardson, TX.

You will research AI workloads, model and benchmark future memory/storage architectures, and collaborate with architects, researchers and engineers to influence Micron's long-term memory roadmap. Ideal candidates are pursuing Bachelor's, Master's or PhD in CS/CE/EE with knowledge of computer architecture, AI/ML, and Python; experience with PyTorch, TensorFlow or JAX is a plus.