Sr. Technical Program Manager- CPU Cores - NY, Fishkill, United States

Originally posted 5 October 2026 by the employer.

Lead the adoption of AI-driven methodologies and tooling across x86 Core Development.

About the role

This role drives the adoption of AI-driven methodologies and tooling across the x86 Core Development Organization, spanning the full pre-silicon lifecycle, including functional verification, RTL design, and physical design. You will transform how AMD x86 CPUs are developed by integrating AI into day-to-day core development workflows.

What you'll do

• Drive the definition and deployment of AI-enabled program strategies across verification, RTL design, and physical design within x86 core development.
• Identify and prioritize opportunities to apply machine learning, data analytics, and automation to engineering workflows.
• Develop program plans, define milestones, manage inter-team dependencies, and maintain program KPIs tied to verification velocity, coverage closure, PPA targets, and design-cycle schedule adherence.
• Coordinate cross-functional work across architecture, RTL/design, verification, DFT, physical design, performance modeling, and internal tooling/data engineering teams.
• Partner with EDA and internal tooling teams to define the infrastructure, data pipelines, and compute requirements needed to collect, clean, and analyze large volumes of simulation, coverage, timing, and layout data.
• Facilitate effective communication and alignment across design, verification, and physical design teams, as well as with EDA partners and tool vendors.

What you'll need

• Significant experience in CPU or SoC development, with hands-on background in functional verification, RTL design, or physical design/implementation.
• Proven technical program leadership delivering complex, cross-functional programs end-to-end.
• Working knowledge of AI/ML or data science techniques and demonstrated experience applying them to hardware design, verification, or EDA-related problems.
• Solid understanding of core development flows and tooling (e.g., simulation, regression, coverage collection and debug for verification; RTL/synthesis flows for design; timing, place-and-route, and physical verification for physical design).
• Demonstrated experience with program planning tools (Jira, Confluence, MS Project, or equivalent) and agile delivery practices.
• A master's or bachelor's degree in computer engineering, Computer Science, or Electrical Engineering.

Nice to have

• Direct hands-on experience with Python and common ML frameworks/tooling (e.g., TensorFlow, PyTorch, Scikit-learn) as applied to engineering or EDA data.
• Experience working with large datasets, relational databases, and visualization tools (e.g., Pandas, SQL, Tableau) in a silicon design or verification context.
• Prior experience developing or deploying ML models for EDA, verification, or physical design applications specifically.
• Familiarity with model training/monitoring tools (e.g., TensorBoard, MLflow, Weights & Biases) and reinforcement learning or active learning approaches.
• Experience spanning more than one of verification, RTL design, and physical design, or experience leading programs that cut across multiple core-development disciplines.

Skills: AI-driven methodologies, functional verification, RTL design, physical design, program management