Senior Solutions Architect, AI Infrastructure

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
7 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $236k
$158k most similar roles pay here $301k

This role pays more than 68% of similar roles. Most pay $171,975–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $209k 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 928 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 915 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Solutions Architect, AI Infrastructure

Role Posting Log in to save

NVIDIA seeks a seasoned GPU and network systems Solutions Architect & Engineer to join its strategic customer engagement team, driving the deployment of end-to-end AI technology solutions in large-scale data centers. This role involves guiding customers through complex server and networking system deployments, offering technical advice on product roadmaps, and conducting regular meetings to address cluster issues and introduce new technologies. The ideal candidate will have over eight years of experience in systems engineering or a related field, with expertise in CPU/GPU architecture, Linux kernel drivers, and data center infrastructure. Proficiency in DevOps tools like Docker and Kubernetes is essential, along with hands-on experience with NVIDIA GPU systems and networking technologies such as CUDA and InfiniBand. This position requires strong communication skills and the ability to manage multiple tasks effectively while occasionally traveling to customer sites for on-site support.

Skills

NVIDIA CUDA Kubernetes Docker Linux C/C++ InfiniBand RoCE NICs ARM DevOps MLOps Python PostgreSQL CI/CD

What you'll do

  • Guide customer data center deployments of GPU server and networking systems.
  • Provide technical advice to strategic customers on network design and system integration.
  • Identify new project opportunities for NVIDIA products in AI applications.
  • Conduct regular technical meetings with customers to discuss product roadmaps and issues.
  • Build custom demonstrations and POCs addressing critical business needs.
  • Analyze and debug performance issues to ensure optimal cluster operation.

What we're looking for

  • 8+ years of experience in systems/solution engineering or related roles.
  • Expertise in CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.
  • Experience with networking switches for Ethernet/InfiniBand and data center infrastructure.
  • Knowledge of DevOps/MLOps technologies like Docker/containers and Kubernetes.
  • Strong verbal and written communication skills for technical presentations and documentation.
  • Hands-on experience with NVIDIA GPU systems/SDKs (e.g., CUDA) and networking technologies.
  • Systems engineering, coding, debugging skills including C/C++, Linux kernel, and drivers.

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