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Micron Technology

Makes memory and storage chips for AI and PCs

Machine Learning Engineering Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipRichardson, TX, USANo salary listedIn-person

About the Job

Requirements

  • Have 0–2 years of relevant experience through internships, research projects, academic coursework, or technical projects in computer architecture, artificial intelligence or machine learning, high-performance computing, or memory systems.
  • Be currently pursuing a Bachelor's, Master's, or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
  • Have a strong understanding of computer architecture, machine learning, artificial intelligence, or high-performance computing concepts.
  • Have experience with Python and modern artificial intelligence and machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar technologies.
  • Have strong analytical, problem-solving, communication, and collaboration skills.

Responsibilities

  • Research emerging artificial intelligence models, workloads, and computing architectures to understand future memory and storage requirements.
  • Analyze tradeoffs between performance, power, cost, bandwidth, capacity, latency, and scalability across artificial intelligence systems.
  • Develop models, simulations, benchmarks, and analytical tools to evaluate next-generation memory and storage concepts.
  • Characterize artificial intelligence workloads running on central processing units, graphics processing units, accelerators, and memory-centric computing platforms.
  • Collaborate with architects and engineers to assess new technologies, communicate findings, and support proof-of-concept evaluations.

Desired Qualifications

  • Have knowledge of memory systems, caching, memory hierarchies, DRAM technologies, and system performance bottlenecks.
  • Have experience with performance analysis, benchmarking, profiling, simulation, or system modeling methodologies.
  • Be familiar with graphics processing unit computing, accelerators, heterogeneous computing systems, or artificial intelligence infrastructure.
  • Understand artificial intelligence model architectures, training workflows, inference systems, and workload characterization techniques.
  • Have experience applying artificial intelligence-enabled tools and technologies to research, software development, data analysis, or engineering productivity workflows.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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