Solutions Architect, AI Factory Infrastructure
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $124,000 to $241,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +3 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA +3 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All 4 locations
- US, CA, Santa Clara
- US, NC, Remote
- US, WA, Remote
- US, CA, Remote
About this job
Are you passionate about enabling the next generation of AI development? We are looking for an early-in-career Solution Architect to join the growing NVIDIA AI Infrastructure team. NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. We're in search of creative minds like you to help customers design, architect and implement accelerated computing data center solutions that will power workflows including AI inference at scale and physical AI through digital simulation.
NVIDIA solutions are built around industry leading AI software tools, but these tools are only as good as the infrastructure that enable the workloads. On this team, you will do full stack design including hardware architecture, workload orchestration and application performance tuning. At NVIDIA, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
Help customers with their AI factory journey, including workflow pipelines and performance optimization
Focus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflows
Scope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines
Lead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem
Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity
Providing expertise in infrastructure workflows, including hardware, task coordination and application tuning
Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution
Work directly with key customers to understand workflows and share feedback with internal product and engineering teams
What we need to see:
Bachelor's degree or equivalent experience in Engineering or Computer Science
3+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise
An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads
Knowledge of infrastructure management including Linux, Kubernetes, Ethernet networking, cloud native tooling
Familiarity with Linux system environments including using Linux for systems administration
Comfortable with Python programming
Understanding how software and hardware work together to optimize applications
Ability to work independently with a remote team with minimal direction
Outstanding communication skills, strong interpersonal and be an excellent teammate!
Ways to stand out from the crowd:
Experience with on-prem infrastructure architecture and big cloud deployments
Experience with cloud native tooling including Terraform, Kubernetes, Helm
Background in building large scale infrastructure that deliver workloads via containers
Experience developing and deploying solutions in hybrid and/or cloud environments
Critical thinking capabilities that leverage fundamentals to deduce solutions to unforseen problems
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 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)
Pay in context
This role's base floor ($124,000) is above 7% of the 4,664 Software Engineering roles in California listed on this site; 19 others list the same floor. Their median floor is $176,500; the middle half runs from $149,100 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSolutions Architect, AI Factory Infrastructure$124,000 to $241,500
System Software Engineer, Performance - CUDA Driver$124,000 to $195,500
AI Compute Engineer - NVIS$124,000 to $195,500
Deep Learning Performance Architect - New College Grad 2027$124,000 to $241,500
Senior Revenue and Pricing Business Analyst$124K to $230K
Power Architect - New College Grad 2027$124,000 to $241,500
Solutions Architect, Executive Briefing Center$124,000 to $241,500
Chart as a table
| Role | Published base |
|---|---|
| Solutions Architect, AI Factory Infrastructure (this listing) | $124,000 - $241,500 |
| System Software Engineer, Performance - CUDA Driver | $124,000 - $195,500 |
| AI Compute Engineer - NVIS | $124,000 - $195,500 |
| Deep Learning Performance Architect - New College Grad 2027 | $124,000 - $241,500 |
| Senior Revenue and Pricing Business Analyst | $124K - $230K |
| Power Architect - New College Grad 2027 | $124,000 - $241,500 |
| Solutions Architect, Executive Briefing Center | $124,000 - $241,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: Multiple locations (4) (Levels 2-3 combined)
124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3.
- 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.
