Sr. Product Manager

Advanced Micro Devices, Inc•Santa Clara, CA

1d•Onsite

About The Position

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.

Requirements

Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, Engineering (any), or related field and four (4) years of experience in the job offered or a closely related engineering or product management role.
Alternate combination: Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, Engineering (any), or related field and six (6) years of progressive, post-baccalaureate experience in the job offered or a closely related engineering or product management role.
AI/ML integration
AI accelerator hardware (GPUs or TPUs)
MLOps and LLMOps ecosystems
Product development cycles
Benchmarking tools like FIO and MLPerf
Defining MRD and PRD
Enterprise virtualization environments, on-prem and public cloud environments

Responsibilities

Plan, initiate, and manage information technology (IT) projects.
Contribute to design of exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems.
Lead our AI accelerator software products, with a focus on AI clusters and Kubernetes integration.
Bridge the gap between technical capabilities and market needs in the rapidly evolving AI infrastructure space.
Define product strategy and roadmap for AI cluster management and Kubernetes-based AI deployment solutions.
Gather and prioritize product requirements from customers, market research, and internal stakeholders.
Work closely with engineering teams to deliver high-quality software products.
Analyze market trends and competitor offerings in AI infrastructure.
Create and maintain product documentation, including user stories and specifications.
Collaborate with sales and marketing to position and promote products effectively.
Integrate expertise in systems architecture, networking, and software engineering to develop comprehensive, ready-to-deploy data center solutions.