About The Position

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Requirements

  • Candidate must have a Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related technical field, plus 8+ years in the semiconductor industry with strong understanding of memory/compute product development.
  • Experience leading complex, technical programs, involving multiple teams from definition through execution.
  • Deep familiarity with product engineering workflows — ideal backgrounds include PDTL, Engineering Execution Managers, or similar roles
  • Ability to synthesize technical complexity into clear executive communication
  • Demonstrated success achieving results through collaboration across organizations without direct authority, with proficiency using AI enabled tools and AI-augmented workflows, including Generative AI, LLMs, and AI-assisted approaches.

Nice To Haves

  • Product engineering leadership experience (PDTL, EEM) in DRAM, HBM, or compute-adjacent product lines
  • Familiarity with Micron's product development processes, stage-gate frameworks, and cross-BU collaboration
  • Understanding of AI/ML hardware trends and their intersection with memory and compute products
  • Business operations or planning experience in a technology organization
  • Hands-on experience with agentic AI solutions or AI assistants (e.g., Roo Code, Code Assist, Cloud Assist)

Responsibilities

  • Establish the program framework for Compute PE's AI initiatives, including timelines, dependencies, risks, and outcomes across concurrent workstreams.
  • Build alignment among Compute PE, Design, Technology Development, DRAM/NAND business units, and partner teams to keep workstreams on track.
  • Track initiative status, identify risks early, and partner with teams to resolve issues across organizational boundaries.
  • Create clear reporting for senior leaders on portfolio health, progress, and key decisions.
  • Partner with Product Development Team Leads (PDTLs) and engineering leaders to incorporate AI requirements into product roadmaps.
  • Identify coordination gaps and implement process improvements to accelerate critical initiatives.
  • Facilitate decision-making forums, track commitments, and maintain a reliable source of information for program status.
  • Apply AI-enabled tools and agentic solutions, such as Code Assist and Cloud Assist, to improve productivity in program workflows, reporting, and analysis.

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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