Senior HPC Architect: At-Scale GPU Deployment & Automation

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA, United States is seeking a Senior HPC Architect to lead deployment and bringup of large-scale GPU compute clusters. You will work with researchers and engineers to operationalize latest NVIDIA GPU computing stacks and develop optimized workflows.

The role requires 8+ years in accelerated computing, strong HPC know-how, and scripting in C/C++/Python/Bash. Remote options are available across several US locations. Equity and benefits are offered.

Qualifications

• 8+ years of experience using accelerated computing for datacenter/HPC-based Enterprise computing solutions.
• Solid understanding of accelerated computing scheduling and I/O stacks.
• C/C++/Python/Bash programming/scripting experience.
• Experience with HPC or deep learning research communities.
• Experience with parallel filesystems.

Responsibilities

• Provide engineering solutions to operationalize the latest GPU Computing products and software stacks, ensure technical relationships with internal and external engineering teams, and assist systems, ML/DL engineers in building solutions based on NVIDIA technology.
• Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions within the NVIDIA technical community.
• Collaborate with HPC, OS, GPU compute, and systems teams to architect, develop and deploy large-scale performance platforms.

Skills

Accelerated computing

C/C++

Python

Bash

HPC scheduling

I/O stacks

Parallel filesystems

Teamwork & communication

Multitasking

Education

BS in Engineering/CS

MS or PhD desirable

Tools

C/C++

Python

Job description

NVIDIA Corporation in Santa Clara, CA, United States is seeking a Senior HPC Architect to lead deployment and bringup of large-scale GPU compute clusters. You will work with researchers and engineers to operationalize latest NVIDIA GPU computing stacks and develop optimized workflows.

The role requires 8+ years in accelerated computing, strong HPC know-how, and scripting in C/C++/Python/Bash. Remote options are available across several US locations. Equity and benefits are offered.