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Ai/ml Solutions Architect

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AMD

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Location:
United States , Austin ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

163200.00 - 244800.00 USD / Year
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Job Description:

This highly visible role directly impacts customer success and the overall growth of AMD’s embedded business. You will influence next‑generation product roadmap, guide customer technical execution, and develop innovative system architecture and solutions especially in AI/ML and performance optimization.

Job Responsibility:

  • Research, define, and drive AMD CPU/GPU/NPU based AI/ML solutions targeting one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense
  • Develop high performance and efficient Edge AI solutions
  • Benchmark, analyze and optimize performance results using standard AI frameworks, open ML models and custom models
  • Serve as an AI and performance expert and/or solutions architect for strategic customer engagements
  • Perform gap analysis and lead solutions architecting for pre–design‑win engagements to influence and secure wins
  • Translate customer needs into actionable technical requirements across domains and components
  • Provide hands‑on leadership throughout execution of customer development programs, solving complex technical problems and ensuring cross‑domain alignment
  • Ensure customer designs make optimal architectural choices to achieve best‑possible performance on AMD platforms
  • Build PoCs, demos, and use‑case optimizations
  • collaborate with ecosystem partners to deliver complete solutions
  • Define and develop reference designs to showcase solution value
  • Stay current on industry trends especially on AI/ML topics and feed insights into AMD’s roadmap planning
  • Create technical papers, reference solutions, and application notes for internal, NDA, or public audiences
  • Present at key technical events and represent AMD’s solution leadership

Requirements:

  • Strong understanding of x86 architecture and GPU architecture
  • Strong expertise in AI/ML, the various frameworks (e.g. ONNX-RT, PyTorch, Tensorflow ), whole software stacks, various open ML models (e.g. Llama, Qwen), optimized inferencing using CPU, GPU and accelerators
  • Background in technologies, technical standards, and system architectures of embedded applications and use cases for one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense
  • Hands‑on development experience with CPUs/GPUs/FPGAs, middleware, system‑level drivers (BSP, HAL, kernel), firmware/BIOS
  • Deep knowledge of Linux OS and systems programming
  • Experience with virtualization and hypervisors
  • Strong C/C++ development and scripting skills (Python)
  • Broad system‑level experience spanning processors, platforms, BIOS, firmware, AI/ML, applications and frameworks like DPDK, SPDK
  • AI/Deep Learning experience is mandatory
  • Ability to connect cross‑domain technical dots and maintain a strong systems viewpoint
  • Customer‑facing experience with a record of enabling successful product development
  • Strong communication, collaboration, and influence skills
  • High sense of ownership, urgency, and willingness to roll up sleeves to drive results
  • Engineering degree in EE or CS

Additional Information:

Job Posted:
April 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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