About The Position

Micron Technology is seeking a highly motivated AI Infrastructure & HBM Architecture Engineer to support the exploration of next-generation AI memory and system environments. This role involves analyzing emerging infrastructure trends, contributing to performance modeling, and supporting tool development to inform HBM architecture decisions. The engineer will work closely with senior engineers across DTPCO, Design, and Product/System teams, gaining hands-on exposure to how AI workloads influence memory system design and architectural intercept strategies.

Requirements

  • Currently pursuing a Master’s degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.
  • Strong foundational understanding of computer architecture, digital systems, and hardware/software interaction.
  • Interest in memory subsystem design (HBM, DDR, caches) and how it impacts AI/ML workloads.
  • Deep understanding of LLM pipeline and critical bottlenecks.
  • Programming experience in Python, C/C++, or similar languages.

Nice To Haves

  • Exposure to AI workload behavior, ML model training pipelines, or large-scale system bottlenecks.
  • Ability to turn research findings into concise technical summaries or recommendations.
  • Comfort learning new tools, simulation frameworks, and data‑analysis workflows.

Responsibilities

  • Researching emerging trends in compute, networking, and storage infrastructure to understand how future AI workloads will evolve.
  • Supporting HBM architecture analysis by collecting and synthesizing data that informs bandwidth, latency, and system‑level memory requirements.
  • Helping develop or refine simulation frameworks used to model AI cluster performance and memory subsystem behavior.
  • Assisting in building first‑order performance models for HBM bandwidth, latency, GPU/CPU interactions, and memory hierarchy trade‑offs.
  • Participating in building trend dashboards using CSP benchmarks and industry datasets.
  • Collaborating with DTPCO mentors to explore architectural intercept opportunities relevant to next‑generation AI systems.

Benefits

  • Choice of medical, dental and vision plans
  • Benefit programs that help protect your income if you are unable to work due to illness or injury
  • Paid family leave
  • Robust paid time‑off program
  • Paid holidays
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