Sr Principal Technical Program Manager, CAD Engineering and AI Initiatives

Micron•San Jose, CA

10d

About The Position

Micron Technology’s CAD Engineering organization advances the tools, infrastructure, and methodologies used to design next-generation memory and semiconductor products. The Senior Principal Technical Program Manager for CAD Engineering and AI Initiatives will lead strategic programs that modernize CAD tools and design flows and accelerate practical AI and machine learning adoption. The role translates technical opportunities into executable roadmaps, aligns global teams, and guides initiatives from concept and proof of concept through production deployment, adoption, and measurable business impact. The position works across design, technology, IT, data science, EDA partners, and executive stakeholders. It covers CAD and design automation supporting HBM, DRAM, NAND, and emerging memory technologies, while promoting responsible AI practices and measuring business outcomes.

Requirements

Bachelor’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
12+ years of demonstrated ability in the semiconductor, EDA, or high-tech industry, including 6+ years in technical program or project management.
Demonstrated experience leading complex, diverse engineering programs from concept through delivery in fast-paced technical environments.
Solid understanding of CAD/EDA tools, semiconductor design flows, and semiconductor design and development processes.
Hands-on exposure to AI/ML concepts and engineering or automation applications.
Strong analytical, organizational, problem-solving, and technical interpersonal skills.

Nice To Haves

Master’s degree in Engineering or Computer Science, MBA, PMP, PgMP, SAFe, or Agile/Scrum certification, or equivalent experience.
Experience with DRAM or NAND development and EDA platforms such as Cadence, Synopsys, or Siemens EDA, including HPC compute, license management, and flow automation.
Experience delivering production AI/ML or generative AI solutions, including MLOps, data pipelines, LLM-based tooling, or AI-enabled CAD and design automation.
Solid understanding of Python, C++, Tcl, or Perl.
Experience using Jira, Confluence, Smartsheet, MS Project, or Power BI.
Experience managing EDA vendors or strategic technology partners and driving technology adoption across global, multi-site engineering teams.

Responsibilities

Lead end-to-end CAD and AI programs, managing roadmaps, achievements, dependencies, resources, risks, governance, and delivery across concurrent workstreams.
Drive development, integration, migration, and adoption of CAD tools, design flows, methodologies, EDA platforms, and infrastructure supporting HBM, DRAM, NAND, and emerging memory technologies.
Define and implement AI/ML-enabled CAD and design automation initiatives, including design-space exploration, predictive verification, layout optimization, generative AI copilots, and automated debug.
Establish program success metrics and measure productivity, cycle time, quality, cost, and return on investment.
Support responsible AI practices covering data governance, security, IP protection, and model lifecycle management.
Align CAD engineering, design, process technology, IT/HPC, data science, EDA vendors, and executive partners.
Drive organizational change and adoption.