Micron
Intern - Machine Learning Engineering
Richardson, TX · Internship · Posted Oct 20, 2026
- Experience
- 0-2 years of relevant experience through internships, research projects, academic coursework, or technical projects.
- Education
- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
About the job
Research emerging AI workloads and evaluate next-generation memory and storage architectures to inform Micron’s long-term technology roadmap.
What you'll do
- Research AI models, workloads, and computing architectures to identify future memory and storage requirements.
- Develop models, simulations, benchmarks, and analytical tools to evaluate memory and storage concepts.
- Characterize AI workloads and collaborate with architects and engineers on technology assessments and proof-of-concept evaluations.
What they ask for
- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
- Strong understanding of computer architecture, machine learning, artificial intelligence, or high-performance computing.
- Experience with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, JAX, or similar technologies.
- Strong analytical, problem-solving, communication, and collaboration skills.
Nice to have
- Knowledge of memory systems, caching, memory hierarchies, DRAM technologies, and system performance bottlenecks.
- Experience with performance analysis, benchmarking, profiling, simulation, or system modeling methodologies.
Tools
Python, PyTorch, TensorFlow, JAX, CPUs, GPUs
AI focus
Research AI workloads and models, characterize workloads across computing platforms, and evaluate their memory and storage requirements.
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