Solutions Architect, HPC Systems Engineer

Nvidia

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 134 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k

This role $236k

$136k most similar roles pay here $304k

This role pays more than 85% of similar roles. Most pay $156,900–$230,687 — 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Solutions Architect, HPC Systems Engineer

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NVIDIA seeks a seasoned Solutions Architect to join its dedicated Solution Architecture Engineering team, focusing on integrating AI hardware and software technologies into production environments for strategic technology clients. This role involves guiding customer discussions on network topologies and server/network/cluster deployments, identifying new project opportunities in data center and artificial intelligence applications, and conducting regular technical meetings with customers. The ideal candidate will have over six years of experience in solution engineering or a similar role, with expertise in server architecture, Linux systems software, kernel drivers, and networking technologies such as Ethernet and InfiniBand. Proficiency in DevOps tools like Docker and Kubernetes is beneficial, along with hands-on experience with NVIDIA’s SDKs, DPU technology, and ARM CPU solutions. This position requires strong customer-facing skills, effective time management, and the ability to balance multiple tasks while traveling occasionally for on-site visits and industry events.

Skills

NVIDIA CUDA Docker Kubernetes Linux C/C++ InfiniBand RoCE DPU ARM Ethernet DevOps MLOps Python Go Terraform AWS CI/CD Prometheus Grafana

What you'll do

Guide customer data center GPU server and networking infrastructure deployments.
Identify new project opportunities for NVIDIA products in AI applications.
Conduct regular technical meetings with customers for product roadmap discussions.
Build custom product demonstrations and POCs addressing critical business needs.
Analyze and debug compute/network performance issues in customer environments.

What we're looking for

6+ years experience in Solution Engineering or related roles.
Deep understanding of server architecture, NICs, Linux, system software, and kernel drivers.
Practical knowledge of Ethernet/InfiniBand switching and routing for data center infrastructure.
Hands-on experience with NVIDIA systems/SDKs, DPU, RoCE, InfiniBand, and ARM CPU solutions.
Ability to manage multiple tasks effectively and communicate ideas clearly through documents and presentations.
Experience in bringing up and deploying large clusters.
Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes.

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