• The successful candidate will work to promote the use of our world class AI software and solutions across AMD’s Adaptive & Embedded Computing customers.

• • Lead release planning, quality metrics, and lifecycle management.
  • Own multi-year roadmap for AMD’s AI software platforms: Vitis AI, ROCm, and Ryzen AI.
  • Align software capabilities with upcoming products with embedded GPUs, Ryzen AI NPUs, and Versal adaptive SoCs.
  • Define platform positioning vs. competitors (NVIDIA CUDA, Qualcomm AI Stack and Intel oneAPI/OpenVino).
  • Translate market and customer needs into engineering requirements.
  • Serve as product owner for key embedded customers.
  • Represent AMD at industry conferences and developer events.

• • Partner with Sales, Marketing, and Field Application Engineers (FAEs).
  • Develop positioning, messaging, and technical collateral.
  • Support strategic customer engagements, POCs, and design wins.
  • Own developer experience across SDKs, tools, documentation, and reference designs.
  • Support AMD Developer Central and community initiatives.

• • Track competitive AI platforms and performance benchmarks.
  • Lead internal competitive analysis on any tooling gaps.
  • Drive feature differentiation based on customer and market data.

• • Define KPIs for adoption, performance, ecosystem growth, and revenue influence.
  • Drive continuous improvement through data-driven insights.

• 7+ years of experience in product management or technical leadership.
• Strong knowledge of AI/ML frameworks (PyTorch, TensorFlow, ONNX).
• Experience with heterogeneous computing platforms (CPU, GPU, FPGA, NPU).
• Proven ability to manage complex, cross-org product initiatives.

• Direct experience with ROCm, Vitis, or CUDA.
• Experience with AMD Instinct, EPYC, Ryzen AI, or Versal platforms.
• Background in ML systems, compilers, or runtime development.
• MBA or advanced technical degree.

• • Strong cross-functional leadership across global engineering teams.
  • Technical credibility with architects and silicon teams.
  • Ability to influence without authority in a matrix organization.
  • Customer-first mindset aligned with AMD’s culture.
  • Bias for execution and measurable outcomes.
  • Passion for open platforms and ecosystem growth.

Academic Credentials:

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field (Master’s preferred).

• Shape the future of AI computing on open, high-performance platforms.
• Work directly with world-class silicon and software teams.
• Impact products deployed across hyperscale, enterprise, and consumer markets.
• Competitive compensation, equity, and growth opportunities.

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