AI Cluster Storage Architect & System Designer

Advanced Micro Devices, Inc.; Austin (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Advanced Micro Devices, Inc. (AMD) seeks an engineering-focused professional to advance AI and HPC storage infrastructure. You will influence reference architectures, configuration guides, and reproducible experiments across compute, storage, and orchestration layers.

Ideal candidates have hands-on HPC cluster experience, strong Linux skills, and a proven ability to produce clear, technical documentation and artifacts for internal teams and customers.

Qualifications

• Engineering mindset with end-to-end systems thinking.
• Hands-on with HPC clusters and storage solutions.
• Experience documenting evaluations and RFCs with clear criteria.

Responsibilities

• Apply HPC expertise to shape AI infrastructure via reference architectures and deployment blueprints.
• Build technical artifacts to support pre-sales engineers and upskill others from an HPC perspective.
• Perform deep evaluations of HPC and AI stacks focusing on storage solutions; document fit and tradeoffs.
• Design and execute reproducible experiments and benchmarking harnesses across AI/HPC workloads.
• Develop reference implementations and tools to validate performance hypotheses and analyze behavior.
• Present findings through demos, docs, and internal talks; create templates for repeatable evaluations.

Skills

HPC storage design

Linux fundamentals

Documentation & diagrams

Communication & writing

Complex systems debugging

Experimentation & benchmarking

Curiosity & initiative

Education

Bachelor's or Master's in electrical/computer engineering

Tools

Slurm

Kubernetes

MPI/OpenMP

NCCL/RCCL

Apptainer/Singularity

Terraform/Ansible

Perf tools (nvprof/rocprof)

Job description

Advanced Micro Devices, Inc. (AMD) seeks an engineering-focused professional to advance AI and HPC storage infrastructure. You will influence reference architectures, configuration guides, and reproducible experiments across compute, storage, and orchestration layers.

Ideal candidates have hands-on HPC cluster experience, strong Linux skills, and a proven ability to produce clear, technical documentation and artifacts for internal teams and customers.