HPC Storage Architect for AI & Cloud

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking an expert to lead storage strategy for HPC workloads in our Santa Clara, CA campus. You will advance next-gen distributed storage services, optimize performance and cost, and collaborate across teams to scale our private/public cloud storage.

This role combines research, design, and hands-on implementation to support AI workloads at scale. Ideal candidates have 8+ years in storage infrastructure, strong Linux, Python, and container experience, and a track record of delivering

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience.
• 8+ years of experience designing and/or operating large scale storage infrastructure.
• Experience analyzing and tuning storage performance for a variety of workloads.
• Proficient in Centos/RHEL and/or Ubuntu Linux distros including Python programming and bash scripting
• In depth understanding of container technologies like Docker, Enroot

Responsibilities

• Research and analyze existing internal distributed storage services.
• Research, design, and implement scalable, next-gen distributed storage services for HPC workloads, optimizing both performance and cost-effectiveness to meet NVIDIA's growing infrastructure needs
• Develop tooling to automate management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
• Detail the general procedures and practices, perform technology evaluations, related to distributed file systems.
• Collaborate across teams to better understand developers' workflows and capture their infrastructure requirements.
• Influence and guide methodologies for building, testing, and deploying applications to ensure efficient performance and resource utilization.
• Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows
• Root cause analysis and suggest corrective action for problems large and small scales

Skills

Storage architecture

Python scripting

Linux proficiency

Performance tuning

Education

Bachelor's degree in CS/EE or related

Tools

Docker

Enroot

Job description

NVIDIA is seeking an expert to lead storage strategy for HPC workloads in our Santa Clara, CA campus. You will advance next-gen distributed storage services, optimize performance and cost, and collaborate across teams to scale our private/public cloud storage.

This role combines research, design, and hands-on implementation to support AI workloads at scale. Ideal candidates have 8+ years in storage infrastructure, strong Linux, Python, and container experience, and a track record of delivering