
Sr. Technical Program Manager CPU Cores
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Job overview
AMD seeks a Senior Technical Program Manager to drive adoption of AI-enabled methods and tools across its x86 Core Development Organization. The role spans pre-silicon functional verification, RTL design, and physical design. The manager will shape scalable programs, coordinate engineering teams, and work with Cores leadership to align priorities and track efficiency and design-quality gains.
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Full job description
ADVANCE YOUR CAREER. ADVANCE THE WORLD.At AMD, we believetechnology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture.Whetheryou'redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger- technologythat moves the world forward.Join us and, together, we'll advance your career. THE ROLEWe are seekinga highly skilled Senior Technical Program Manager to drive the adoption of AI-driven methodologies and tooling across our x86 Core Development Organization. This role spans the full pre-silicon lifecycle, including functional verification, RTL design, and physical design, and offers the opportunity to help transform how next-generation AMD x86 CPUs are developed.You will turn promising AI/ML approaches into scalable, repeatable programs that improve engineering efficiency and design quality. Rather than building isolated point solutions, you will help shape how AI is integrated into day-to-day core development workflows across the organization.You will define program goals, manage schedules and risks, and coordinate dependencies across design, verification, physical design, architecture, and data engineering teams. Partnering closely with the Cores leadership team, you will align priorities, track measurable efficiency and quality gains, and influence the broader AI adoption strategy for the organization.This role provides direct exposure to Cores leadership and the opportunity to collaborate with industry-leading engineers developing next-generation AMD x86 CPUs. It requires strong technical fluency in CPU core development flows and AI/ML methods, exceptional program management capabilities, and the ability to influence strategy and priorities at the leadership level. THE PERSONThe ideal candidate combines technical credibility across CPU core development, including functional verification, RTL design, and/or physical design, with a working knowledge of AI/ML techniques and how they can be applied to engineering workflows.You are comfortable going deep into design and verificationflows, model approaches, and tooling architecture while also establishingclarity, ownership, and predictable delivery across teams that may be new to AI-driven ways of working. You can translate complex technical opportunities into structured programs, align stakeholders across organizations, and drive measurable outcomes.You are motivated by the opportunity to lead meaningful transformation, work with cutting-edgetechnologies and resources, and contribute to a culture focused on continuous innovation. You want to influence how AI changes engineering work at scale while helping teams deliver higher-quality designs more efficiently. KEY 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 (power, performance, area) 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. *
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