Sr. Product Manager - AI Infrastructure and Solutions

AMD AMD · Semiconductors · Santa Clara, CA · Engineering

Senior Product Manager for AI Infrastructure and Solutions at AMD, focusing on defining, integrating, and launching AMD-based AI solutions that combine hardware and software. The role requires translating customer needs into requirements across the full stack and ecosystem, leading cross-functional teams, and ensuring launch readiness.

What you'd actually do

  1. Own system-level product definition (HW + SW)
  2. Translate customer/segment needs into prioritized requirements
  3. Lead cross-functional dependency and integration planning
  4. Set performance targets and benchmarking expectations (with TME/Eng)
  5. Support launch readiness and field enablement

Skills

Required

  • Strong working knowledge of several of the following: AI infrastructure, AI accelerators, AI software stacks (e.g., PyTorch, TensorFlow, ONNX), AI frameworks, AI solutions, AI cloud platforms, AI services, AI hardware.
  • Demonstrated experience defining and launching system-level solutions requiring coordination across hardware, firmware, drivers, software frameworks, and partner ecosystems.
  • Excellent communications, collaboration, and relationship building across functions and organizations, including experience presenting to executives
  • Experience working well in ambiguity and creating structure and alignment across teams without formal authority, including excellent written and verbal communications for executive audiences

Nice to have

  • Bachelor degree in Engineering, Computer Science, Computer Engineering, Electrical Engineering, or related technical field strongly desired
  • MBA or Master’s degree in Engineering, Computer Science or related field preferred
  • Or an equivalent combination of education and relevant experience

What the JD emphasized

  • Owns the system-level product definition, integration readiness, and launch readiness for AMD-based solutions that combine hardware and software into a deployable, supportable offering.
  • This role translates customer and segment needs into clear, testable requirements spanning platform hardware, firmware/drivers, software stack, and ecosystem dependencies (OEM/ODM/ISV/cloud).
  • Success is measured by the quality of system requirements, compatibility/supportability, integration clarity, and GA readiness.