Sr Principal Technical Program Manager, CAD Engineering and AI Initiatives - San Jose, CA, United States

Originally posted 28 October 2026 by the employer.

Leading CAD tools, design flows, and AI/ML automation initiatives supporting HBM, DRAM, and NAND memory technologies.

About the role

As a Senior Principal Technical Program Manager for CAD Engineering and AI Initiatives in San Jose, California, you will lead strategic programs that modernize CAD tools and design flows while integrating AI and machine learning into engineering workflows. The role supports design automation, methodologies, and EDA infrastructure across HBM, DRAM, NAND, and emerging memory technologies.

What you'll do

- Lead end-to-end CAD and AI programs, managing roadmaps, milestones, 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 to measure productivity, cycle-time, quality, cost, and return on investment while supporting responsible AI practices for data governance, security, IP protection, and model lifecycle management. - Align CAD engineering, design, process technology, IT/HPC, data science, EDA vendors, and executive partners while leading organizational change and adoption.

What you'll need

- Bachelor’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. - 12+ years of experience in the semiconductor, EDA, or high-tech industry, including 6+ years in technical program or project management. - Experience leading complex engineering programs from concept through delivery in technical environments. - 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.

Nice to have

- Master’s degree in Engineering or Computer Science, MBA, or PMP, PgMP, SAFe, or Agile/Scrum certification. - 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. - Understanding of Python, C++, Tcl, or Perl, along with experience using tools such as Jira, Confluence, Smartsheet, MS Project, or Power BI. - Experience managing EDA vendors or strategic technology partners across global, multi-site engineering teams.

Skills: program management, CAD tools, EDA platforms, design automation, AI/ML