Senior HPC Storage Architect - Equity Eligible

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

Job summary

NVIDIA is seeking an experienced storage architect to lead the design and operation of high-performance, scalable storage infrastructure for HPC workloads. You will work across teams to optimize performance and costs, and to enable researchers to run complex deep learning workflows on large clusters.

Ideal candidates have strong Linux, Python, Docker/Enroot experience and a track record in distributed file systems.

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

Python programming

Bash scripting

Linux performance tuning

Docker

Enroot

Distributed storage concepts

Education

Bachelor’s degree in Computer Science, Electrical Engineering or related field

Tools

Docker

Enroot

Job description

NVIDIA is seeking an experienced storage architect to lead the design and operation of high-performance, scalable storage infrastructure for HPC workloads. You will work across teams to optimize performance and costs, and to enable researchers to run complex deep learning workflows on large clusters.

Ideal candidates have strong Linux, Python, Docker/Enroot experience and a track record in distributed file systems.