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Sr. Technical Program Manager- CPU Cores

AMD· Engineering
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Hybrid (Fishkill, NY)$185.6kFull-timePosted 2w ago

About the role

Senior Technical Program Manager to drive AI-enabled methodologies across AMD’s x86 Core Development Organization, spanning pre-silicon lifecycle from verification through physical design, with a focus on integrating AI/ML into core development workflows and delivering measurable efficiency and design quality improvements.

Responsibilities

  • 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 (e.g., predictive coverage modeling, test/testbench generation, timing and congestion prediction, floorplan and place-and-route optimization, RTL code assistance, anomaly detection in regression and bring-up data, root-cause and failure triage).
  • 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 to build and scale intelligent workflows.
  • Partner with EDA and internal tooling teams to define infrastructure, data pipelines, and compute requirements for AI/ML initiatives across simulation, coverage, timing, and layout data.
  • Evaluate emerging AI tools and solutions for applicability across the core development lifecycle and drive build-vs-buy recommendations.
  • Identify, track, and mitigate program risks and issues; escalate when needed and drive corrective action with stakeholders.
  • Facilitate effective communication and alignment across design, verification, and physical design teams, as well as with EDA partners and tool vendors; serve as primary program point-of-contact for AI adoption initiatives.
  • Track and report measurable improvements in engineering efficiency and design quality resulting from AI-driven methods.
  • Mentor and coordinate with engineering leads and other program managers to scale AI adoption pilots into repeatable practices.
  • Support technical tradeoffs and prioritization discussions with data-backed analyses for engineering and executive leadership.
  • Proactively identify risks and bottlenecks in AI methodology adoption; implement mitigation plans and ensure closure.
  • Facilitate stakeholder communication and present progress, risks, and tradeoffs to leadership with clarity.

Qualifications

  • Significant experience in CPU or SoC development, with hands-on background in one or more of: functional verification, RTL design, or physical design/implementation.
  • Proven TPM or technical program leadership delivering complex, cross-functional programs end-to-end in ambiguous, fast-changing environments.
  • Working knowledge of AI/ML or data science techniques and demonstrated application to hardware design, verification, or EDA problems.
  • Solid understanding of core development flows and tooling across verification, design, and physical design to credibly scope AI initiatives.
  • Experience with program planning tools (Jira, Confluence, MS Project) and agile delivery practices.
  • Excellent stakeholder management and communication skills; able to engage at engineering and executive levels.
  • Hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) as applied to engineering or EDA data.
  • Experience with large datasets, relational databases, and visualization tools (Pandas, SQL, Tableau) in silicon design or verification context.
  • Prior experience developing or deploying ML models for EDA, verification, or physical design applications.
  • Familiarity with model training/monitoring tools (TensorBoard, MLflow, Weights & Biases) and reinforcement/active learning in constrained engineering domains.
  • Experience spanning multiple core-development disciplines or leading cross-disciplinary programs.

Skills

Required:AI/ML in hardware engineeringCPU core developmentProgram managementPython and ML frameworks

Benefits

  • Benefits offered are described: AMD benefits at a glance.
Last updated Oct 15, 2026. Interested? Apply on the company site.
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