AI HPC Storage Architect & Reference Designs

Advanced Micro Devices

Austin (TX)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Advanced Micro Devices in Austin, TX is seeking an engineer who thrives on exploration and solving complex HPC and AI storage challenges. This hands-on role focuses on researching AI infrastructure, documenting reference architectures, and creating reproducible experiments and deployment blueprints to guide internal teams and customers on how AMD-based systems perform at scale.

You will craft technical artifacts, evaluate storage technologies, and build small reference implementations.

Qualifications

  • Demonstrated end-to-end systems thinking and debugging skills.
  • Experience with HPC clusters and AI-oriented storage.
  • Ability to author technical artifacts and design docs.
  • Familiarity with schedulers and orchestration in HPC/AI environments.

Responsibilities

  • Shape AI infrastructure by creating reference architectures and deployment blueprints.
  • Build a library of technical artifacts to support pre-sales and skill-up initiatives.
  • Evaluate HPC/AI stacks focusing on storage solutions and trade-offs.
  • Design reproducible experiments and benchmarking harnesses for storage tech.
  • Develop reference implementations to validate performance hypotheses.

Skills

HPC systems thinking
Storage solutions
Linux fundamentals
AI/HPC workload knowledge
Benchmarking and analysis
Documentation and communication
Orchestration (Slurm/Kubernetes)

Education

Bachelor's or Master's in Electrical/Computer Engineering

Tools

Slurm
Kubernetes
MPI/OpenMP

Job description

Advanced Micro Devices in Austin, TX is seeking an engineer who thrives on exploration and solving complex HPC and AI storage challenges. This hands-on role focuses on researching AI infrastructure, documenting reference architectures, and creating reproducible experiments and deployment blueprints to guide internal teams and customers on how AMD-based systems perform at scale.

You will craft technical artifacts, evaluate storage technologies, and build small reference implementations.

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