Senior AI Storage Architect for High-Performance Systems

NVIDIA

Massachusetts

On-site

USD 148,000 - 288,000

Full time

14 days+

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Job summary

NVIDIA seeks a Senior High-Performance Storage Architect to join our Infrastructure Specialists team in Santa Clara, CA. You will deploy, manage, and validate high-performance storage systems for AI factories, acting as a domain expert through planning to implementation.

You’ll craft documentation and transfer knowledge to customers while collaborating across teams. Requirements include 8+ years in storage deployment/validation, strong Linux and networking skills, and scripting with

Qualifications

  • 8+ years of experience providing in-depth storage deployment and validation services for hardware and software-based storage products.
  • Solid understanding of storage concepts including SDS, NFS, S3, NVMeoF, Lustre, GPFS, and RDMA (RoCEv2/InfiniBand).
  • Proficient in Linux system administration, performance reporting/optimization/logging, and advanced networking/tuning.
  • Strong scripting ability in Bash, Python, Ansible, etc.
  • Willingness to travel to customer sites within the region up to 20% of the time.

Responsibilities

  • Deploy, manage, and validate High-Performance Storage infrastructure within AI Factory Linux environments.
  • Serve as domain expert during customer planning calls through implementation phases.
  • Create and hand over documentation; perform knowledge transfers to support customers.
  • Provide feedback to internal teams by logging bugs, documenting workarounds, and suggesting improvements.

Skills

Storage architecture
Linux administration
Bash
Python
Ansible
Networking tuning
Customer engagement
Travel readiness

Education

BS in Computer Science / Electrical Engineering or equivalent

Tools

FIO
IO500
IOR
HPL
NCCL tests
MLPerf storage

Job description

NVIDIA seeks a Senior High-Performance Storage Architect to join our Infrastructure Specialists team in Santa Clara, CA. You will deploy, manage, and validate high-performance storage systems for AI factories, acting as a domain expert through planning to implementation.

You’ll craft documentation and transfer knowledge to customers while collaborating across teams. Requirements include 8+ years in storage deployment/validation, strong Linux and networking skills, and scripting with

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