AI Full-Stack Solutions Architect

WHAT YOU DO AT AMD CHANGES EVERYTHING

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.

THE ROLE:

The Architecture & Strategy group is an influence-based collection of senior technology professionals and this AI-focused role in its Solutions Architecture sub-group is key to the group's and AMD's continued success.

This is not a silicon-focused role but is instead a solutions-focused position that will work with peers within the Solutions Architecture team, across the Architecture & Strategy group in AMD's Data Center Solutions Group (DSG), and as needed across other DSG as well as AMD's Data Center GPU teams. This new role has been created to ensure our team has a seat at the table and maintains visibility to the rapid changes in the AI technology landscape both inside AMD and in the outside AI ecosystems.

THE PERSON:

We are looking for a candidate with hands-on full-stack AI skills who both understands and can effectively communicate the areas where the current state of hardware, platform software, AI-focused software, data, and operations meet as well as where those elements are likely to go in the future. That fluency is required to supply meaningful feedback on where AMD's AI efforts should focus in the future for the company's greatest competitive advantage.

KEY RESPONSIBILITIES:

We are looking for a senior AI-focused team member with responsibilities in three primary areas:

1. Maintain current, hands-on skills in a full-stack AI environment, including:
   1. Infrastructure Configuration
      1. CPU/GPU compute
      2. AI-specific backend networking and design
      3. Storage technologies and tiering aligned to AI training and inference pipelines
   2. Operating Environment
      1. Bare-metal Linux with AI hw/sw tweaks and configurations
      2. AI software platforms like Kubernetes for Cloud-Native implementations, and SLURM for HPC-focused setups
2. Maintain technical competency with common AI architectures and workloads
   1. LLMs/SLMs (primary)
      1. Understand how to platform / tune both training- and inference-focused language models on AMD Instinct and EPYC
      2. AI model and RAG pipelining to tailor model and agent behavior to suit data accuracy and output expectations
   2. Data Science (secondary)
      1. Experience with large-scale model training or inference
      2. MCP and data pipelining
      3. Remain current with traditional ML/DL and model generation outside of just LLMs
   3. Coding
      1. Python
      2. Familiarity with AMD ROCm or NVIDIA CUDA with an ML framework (PyTorch, JAX, vLLM, TensorRT, NeMo, ...)
3. Customer / Community Engagement
   1. Act as a full-stack, AI solutions-focused resource for customer discussions and potential on-site meetings (some travel required)
   2. Maintain and build AI ecosystem participation and visibility
      1. Including CfP submissions for AI conferences
   3. Ability to build/share demonstrations of portions/full AI stack components from infrastructure to data flows

PREFERRED EXPERIENCE:

• Experience in both current AI technologies and the technologies that preceded the rise in language models, e.g.
  • Traditional Machine Learning / Deep Learning
• Experience with Data Engineering techniques and technologies
  • Readying data from disparate sources (structured, unstructured, stream and batch) for ingest into data pipelines
• Experience with direct customer and partner engagement on AI technology selection, AI platform architectures
• Experience in public speaking at AI / Data-focused technology conferences

ACADEMIC CREDENTIALS:

• Bachelor's Degree in a technical field (e.g. engineering, mathematics, statistics), Masters preferred

LOCATION:

Team is based in Austin TX but open to remote

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Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.