Senior Solutions Architect

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: VA
Employment: Full-time
Posted: 166 days ago
Freshness: Confirmed live yesterday
Nearby: 56 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $199k

$141k most similar roles pay here $252k

This listing doesn't post a salary. Most similar roles pay $162,000–$235,750.

Based on 240 similar postings.

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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 1391 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1116 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect

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As a Senior Solutions Architect, NPN, you will join the NVIDIA Partner Network team to help partners adopt end-to-end Agentic AI solutions using NVIDIA’s compute, networking, and software stacks. You will work on the technical front lines rather than just providing high-level overviews, utilizing cloud native methodologies, low latency networks, and accelerated compute to build modern AI factories. Your daily responsibilities include guiding partners through deployment, performing proof-of-concepts, delivering demos, and writing developer blogs or papers. The role requires expertise in AI and HPC clusters across on-premises and cloud environments. You will utilize tools such as Docker Containers, Slurm, Kubernetes, Ansible, Python, C/C++, Bash, and Linux utilities. Technical focus areas include network and storage configuration, InfiniBand, Ethernet, GPU workloads, NVIDIA AI Enterprise, Base Command Manager, Run:ai, and NVIDIA NIMs.

What does a Solutions Architect earn in Remote?

Median $222500 from 56 postings across 13 companies.

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Skills

AI HPC Kubernetes Docker Ansible Slurm Python C/C++ Bash Linux InfiniBand Ethernet NVIDIA AI Enterprise Base Command Manager Run:ai NVIDIA NIMs Cloud Native

What you'll do

Guide partners in adopting end-to-end Agentic AI solutions using NVIDIA's compute, networking, and software stacks.
Design, build, and maintain large-scale HPC and AI hybrid computing solutions for customers.
Deploy and operationalize AI factories using cloud-native methodologies and low-latency networks.
Perform hands-on configuration and debugging of network, storage, and cluster systems.
Conduct technical demonstrations, proof-of-concepts, and author developer blogs or white papers.
Solve complex technical problems by collaborating with executives and engineering teams to implement NVIDIA technologies.
Manage clusters using tools such as Docker, Slurm, Kubernetes, and Ansible.

What we're looking for

A BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience).
Established track record working with AI and HPC clusters on both on-premises and cloud platforms.
12 plus years of proven experience with cluster management tools including Docker Containers, Slurm, Kubernetes, and Ansible.
Hands-on experience with network, storage, cluster configuration, and debugging.
Strong analytical and problem-solving skills with the ability to articulate technical knowledge to others.
Strong coding and debugging skills in Python, C/C++, Bash, and Linux utilities (preferred).
Demonstrated expertise in GPU workloads, Kubernetes, InfiniBand, Ethernet, or other high-performance cluster areas (preferred).
Hands-on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai, and NVIDIA NIMs (preferred).

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