Senior AI Factory Storage Architect

NVIDIA; United Kingdom; On-site; GBP 70,000 - 110,000; Full time

Job summary

NVIDIA is seeking a Senior High-Performance Storage Engineer to join its Infrastructure Specialists team. You will deploy, manage, and validate high-performance storage infrastructure in AI Factory Linux-based environments, collaborating with customers, partners and internal teams to analyze, define and implement large-scale AI Factory projects.

Responsibilities include leading planning calls through implementation, delivering handover documentation, and providing practical resolutions.

Qualifications

• Bachelor’s degree or higher in CS/EE or equivalent experience.
• 5+ years in in-depth storage hardware/software deployment and validation.
• Expertise in SDS, NFS, S3, NVMeoF, Lustre, GPFS, RMDA (RoCEv2/InfiniBand).
• Experience with storage benchmarking tools such as FIO, IO500, IOR, HPL, NCCL tests, MLPerf storage.
• Linux system administration, performance reporting/optimization/logging, and advanced networking.

Responsibilities

• Deploy, manage, and validate High-Performance Storage in AI Factory Linux environments.
• Be the domain expert with customers during planning calls through implementation.
• Create handover documentation and perform knowledge transfers for support teams.
• Provide feedback to internal teams: bugs, workarounds, and improvements.

Skills

Storage architecture

Linux administration

Networking fundamentals

Scripting (Bash, Python, Ansible)

Interpersonal skills

Multi-tasking / prioritization

Education

Four-year degree in Computer Science / Electrical / Computer Engineering or equivalent

Tools

FIO

IO500

IOR

HPL

NCCL tests

MLPerf storage

Job description

NVIDIA is seeking a Senior High-Performance Storage Engineer to join its Infrastructure Specialists team. You will deploy, manage, and validate high-performance storage infrastructure in AI Factory Linux-based environments, collaborating with customers, partners and internal teams to analyze, define and implement large-scale AI Factory projects.

Responsibilities include leading planning calls through implementation, delivering handover documentation, and providing practical resolutions.