Solutions Architect, Networking
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $152,000 to $287,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All places named
- Santa Clara, CA
- Seattle, WA
About this job
Do you want to be part of a team that brings new Artificial Intelligence (AI) technology to NVIDIA’s largest customers? We are looking for an experienced networking Solutions Architect to support accelerated computing networking solutions for AI/ML and HPC on hyperscalers! As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solutions with some of NVIDIA’s most strategic customers with both hardware and software solutions while offering technical insight and support to business and engineering teams based on product strategy.
What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies. A big part of the day to day job is to help customers debug issues, manage feature request processes, and coordinate the co-engineering program.
Partner with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Be the go-to technical resource for customers building complex AI infrastructure as well as helping them understand performance characteristics for solutions
Work with customers to build PoCs for solutions to address critical business needs
Prepare and deliver technical content to customers including presentations, workshops, etc.
Analyze and develop solutions for customer performance issues for both AI workload and systems performance
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
5+ years of engineering(performance/system/solution) experience
Expertise with dense datacenter design including networking, compute and storage. Familiarity with Cloud and hybrid cloud Network.
Experience with Ethernet L2-L7 networking protocol stack.
Strong analytical and problem-solving skills
Ability to multitask efficiently in a dynamic environment, ability to work with teams across geographical locations
Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.
Ways to stand out from the crowd:
Deep understanding and hands on experience with Ethernet Switch software solution and data center production network.
Strong experience with RDMA/RoCE and smart NICs
Hands on experience with GPU and Networking systems in general including but not limited to performance testing/tuning, benchmarking, etc.
Strong systems engineering, coding, and debugging skills. Including experience with Python, Ansible, Go, C/C++, Bash, Linux and Windows.
Experience in supporting Deep Learning, Machine Learning or HPC networking infrastructures; experience with networking technologies.
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 6, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Source: NVIDIA on Workday · View original posting (opens in new tab)
This listingSolutions Architect, Networking$152,000 to $287,500
Senior Networking Architect$152,000 to $287,500
Solutions Architect, AI and ML$152,000 to $287,500
Infrastructure Solutions Architect - OEM$152,000 to $287,500
Senior Software Engineer, CUTLASS Performance$152,000 to $287,500
Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure$152,000 to $287,500
Senior Graphics Driver Engineer$152,000 to $241,500
Chart as a table
| Role | Published base |
|---|---|
| Solutions Architect, Networking (this listing) | $152,000 - $287,500 |
| Senior Networking Architect | $152,000 - $287,500 |
| Solutions Architect, AI and ML | $152,000 - $287,500 |
| Infrastructure Solutions Architect - OEM | $152,000 - $287,500 |
| Senior Software Engineer, CUTLASS Performance | $152,000 - $287,500 |
| Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure | $152,000 - $287,500 |
| Senior Graphics Driver Engineer | $152,000 - $241,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-02
Where this pay comes from
Location as the employer wrote it: US, CA, Santa Clara • US, WA, Seattle (Levels 3-4 combined)
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.