Senior Solutions Architect, Networking - CSP

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA · Seattle, WA
Salary
$184,000–$287,500 / yr
Posted
54 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 87% of similar roles. Most pay $151,475–$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 563 open roles on FindRole.

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

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At a glance

TL;DR · Senior Solutions Architect, Networking - CSP

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Join NVIDIA’s Solutions Architecture team as a senior Networking Solutions Architect to drive end-to-end technology solutions for the company's most strategic customers. You will work closely with tech giants to develop and demonstrate AI/ML and HPC solutions, manage feature requests, and coordinate co-engineering programs. Your responsibilities include partnering with Sales Account Managers to identify business opportunities, providing technical support for complex AI infrastructure, building PoCs, and delivering presentations on performance characteristics. Ideal candidates have over 8 years of engineering experience, expertise in dense datacenter design, Ethernet networking protocols, and hands-on experience with GPU and networking systems. Strong coding skills in Python, Ansible, Go, C/C++, Bash, Linux, and Windows are essential, along with a deep understanding of RDMA/RoCE and smart NICs.

Skills

Python Ansible Go C/C++ Bash Linux Windows RDMA RoCE smart NICs GPU Ethernet L2-L7 networking Cloud hybrid cloud Network NVIDIA hyperscalers HPC AI ML Deep Learning

What you'll do

  • Develop and demonstrate AI/ML solutions using NVIDIA’s hardware and software for tech giants.
  • Identify business opportunities by partnering with Sales Account Managers and Developer Relations Managers.
  • Provide technical support to customers building complex AI infrastructure, explaining performance characteristics.
  • Build PoCs to address critical business needs for AI workload and system performance issues.
  • Deliver technical content such as presentations and workshops to educate customers on NVIDIA solutions.

What we're looking for

  • 8+ years of engineering experience in performance/system/solution roles
  • Expertise in dense data center design including networking, compute, storage, and cloud/hybrid cloud networks
  • Proficiency with Ethernet L2-L7 networking protocols, RDMA/RoCE, and smart NICs
  • Hands-on experience with GPU and networking systems for performance testing/tuning and benchmarking
  • Strong coding skills in Python, Ansible, Go, C/C++, Bash, Linux, and Windows
  • Deep understanding of AI/ML/HPC networking infrastructures and technologies

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