Sr. Technical Program Manager - Training at Scale

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE ROLE:

AMD is seeking a Senior Technical Program Manager (TPM) to lead Training at Scale programs for AMD Instinct products. You will driveend-to-endexecution of largescale AI training initiatives while owningmulti-quarterplanning, roadmap development, and the operating cadence that turns strategy into predictable delivery across the Training at Scale engineering portfolio.

In this role, you will be a core partner to engineering leadership,ensuringthatnear-termexecution strength is matched by clearlong-termplans, OKR rigor, and early risk/decision management across an evolving opensource AI ecosystem.

THE PERSON:

The ideal candidate is a highly structured program leader with technical depth in AI training frameworks and distributed training at scale, comfortable operating in ambiguity and turning strategy into executable roadmaps. You communicate crisply at all levels, build alignment acrosscross functionalteams, and proactively surface risks, tradeoffs, and decision points before they become delivery blockers

You thrive in afast-movingenvironment, bring a strong operating cadence (OKRs, reviews, dashboards), and can build durable planning mechanisms that reduce engineering overhead while improving delivery predictability.

KEY RESPONSIBILITIES:

• Own Training at Scale portfolio planning:translatestrategy into amulti-quarterroadmap, quarterly plans, and measurable outcomes.

• Establish and run an execution operating model (OKRs, program reviews, decision logs, dashboards) to drive rigor, transparency, and predictable delivery.

• Driveend-to-enddelivery of largescale AI training capabilities acrosscross functionalengineering teams; manage scope, milestones, dependencies, and critical path.

• Apply technical judgment toidentifyand managearchitecture leveltradeoffs, technical dependencies, and technicalrisk;proactively surface decision points and escalation paths.

• Build alignment with engineering leadership and key stakeholders on priorities, sequencing, and resourcing.

PREFERRED EXPERIENCE:

• Technical fluency in AI/ML systems, including distributed training and scalability/performance considerations.

• Handson familiarity with AI training frameworks/ecosystems (e.g.,PyTorch, JAX) and related tooling.

• Understanding of GPU compute software stacks and performance considerations; familiarity with AMDROCmand/or NVIDIA CUDA

• Experience working in opensource ecosystems (contributing, managing upstream dependencies, release planning, community/ecosystem coordination).

• Track recordof proactive risk management andexecutive levelstakeholder communication in ambiguous environments.

ACADEMIC CREDENTIALS:

• Master's orBachelor's degree in Computer Engineering, Computer Science or Electrical Engineering is desired

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Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

This posting is for an existing vacancy.