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Senior Product Application Engineer

AMD· Engineering
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San Jose, California$134.6kFull-timePosted 1mo ago

About the role

Senior Applications Engineer at AMD focused on accelerating adoption and quality of local AI experiences on Ryzen AI platforms, specializing in Windows Local AI, Windows ML, and collaboration with Microsoft, ISVs, and OEMs to resolve technical issues and improve developer experience.

Responsibilities

  • Serve as a subject matter expert in Windows Local AI and Windows ML, including model deployment and hardware-accelerated inference on AMD Ryzen AI platforms.
  • Partner with Microsoft and internal AMD teams to validate Windows AI scenarios, close platform gaps, and communicate customer and developer requirements.
  • Provide high-touch technical support for prioritized and escalated OEM and ISV issues. Reproduce problems, lead technical triage, isolate root causes, recommend workarounds, and engage software engineering when product changes are required.
  • Own, develop, and maintain customer-facing technical documentation for Ryzen AI, including architecture guidance, installation content, tutorials, samples, troubleshooting material, and release-aligned updates for ryzenai.docs.amd.com.
  • Create or improve reference applications, sample code, diagnostic utilities, and technical collateral that help developers successfully deploy AI workloads on Windows.
  • Plan and execute competitive analysis and benchmarking across AMD and competitive AI PC platforms. Translate findings into reproducible data, technical insights, and recommendations for engineering and product teams.

Qualifications

  • Relevant experience in AI inference solutions, applications engineering, software engineering, benchmarking / performance engineering, or a closely related technical role.
  • Strong hands-on programming and debugging skills in Python and C/C++ on Windows.
  • Demonstrated ability to effectively apply AI tools and technologies in daily work to accelerate problem solving, enhance software quality, and increase productivity.
  • Practical experience with AI/ML inference workflows and frameworks such as PyTorch, ONNX, ONNX Runtime, Hugging Face, or equivalent technologies.
  • Experience writing high-quality developer documentation, technical tutorials, sample code, or customer-facing engineering guides.
  • Working knowledge of performance analysis, benchmarking methodology, workload characterization, and results interpretation.
  • Very good written and verbal communication skills, including the ability to explain complex technical findings to both engineering and non-engineering stakeholders.

Skills

Required:Windows Local AIPythonC/C++AI frameworks (PyTorch, ONNX, ONNX Runtime, Hugging Face)Communication
Nice to have:Developer documentationBenchmarking & performance analysis
Last updated Oct 22, 2026. Interested? Apply on the company site.
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