Senior HPC Architect, Automation and At-Scale Deployment

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
9 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $236k
$135k most similar roles pay here $304k

This role pays more than 83% of similar roles. Most pay $151,266–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior HPC Architect, Automation and At-Scale Deployment

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Join us as a Senior HPC Architect to drive the deployment and optimization of large-scale GPU compute clusters, enabling groundbreaking advancements in AI and accelerated computing. You will collaborate closely with scientific researchers, developers, and customers to enhance workflows and develop innovative solutions using NVIDIA’s cutting-edge hardware and software platforms. Your responsibilities include providing engineering insights for operationalizing new GPU Computing products, ensuring technical relationships within internal teams, and supporting systems engineers in crafting creative solutions. Ideal candidates have over eight years of experience in accelerated computing for datacenter/HPC environments, proficiency in C/C++, Python, Bash, and a deep understanding of parallel filesystems and scheduling mechanisms. Strong teamwork and communication skills are essential as you work on diverse projects within a dynamic environment.

Skills

NVIDIA C++ Python Bash HPC Deep Learning Linux Telemetry Visualization Containers Parallel Filesystems GPU Computing Accelerated Computing Datacenter Operations CI/CD

What you'll do

  • Provide engineering solutions to operationalize latest GPU Computing products and software stacks.
  • Serve as an internal reference for system administration and at-scale system analysis.
  • Architect large-scale performance platforms with HPC, OS, GPU compute specialists.
  • Implement tuning mechanisms for efficient large-scale compute runs.
  • Collaborate with researchers and developers to craft improved workflows using NVIDIA technology.

What we're looking for

  • 8+ years of experience in accelerated computing for datacenter/HPC solutions.
  • Expertise in GPU computing scheduling, I/O stacks, and parallel filesystems.
  • Proficiency in C/C++, Python, Bash programming, and scripting.
  • Experience supporting HPC or deep learning in an engineering or academic setting.
  • Strong teamwork, communication, multitasking, and analytical skills.
  • BS (or higher) in Engineering, Mathematics, Physics, or Computer Science.

Related searches

More Senior HPC Architect jobs Senior HPC Architect jobs in Santa Clara Remote Senior HPC Architect jobs All jobs at Nvidia

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