Senior Distributed HPC Storage Architect

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA is seeking a Senior Storage Architect to lead the design and implementation of next-gen distributed storage for HPC workloads in Santa Clara. You’ll analyze existing services, architect scalable systems, and craft tooling to simplify operations at scale.

You will collaborate across teams, influence deployment methodologies, and support researchers by optimizing deep learning workflows on large clusters, with equity and a comprehensive benefits package.

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

Distributed storage expertise

GPU & AI infrastructure

Hardware & storage engineering

Advanced networking

Deep learning frameworks

Education

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

Tools

Docker

Enroot

Ceph

Lustre

GPFS

CUDA

Job description

NVIDIA is seeking a Senior Storage Architect to lead the design and implementation of next-gen distributed storage for HPC workloads in Santa Clara. You’ll analyze existing services, architect scalable systems, and craft tooling to simplify operations at scale.

You will collaborate across teams, influence deployment methodologies, and support researchers by optimizing deep learning workflows on large clusters, with equity and a comprehensive benefits package.