Senior Systems Architect - Datacenter
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $184,000 to $356,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (17 min ago) · observed since
About this job
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive 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.
NVIDIA is looking for a highly motivated Datacenter Systems Architect to join our multifaceted and innovative System Engineering Team to craft the blueprints for the next generation of NVIDIA GPU based AI Super Computing Datacenters. The architect plays a key role in defining and driving tradeoffs in high-performance datacenter design focused on all aspects including power, cooling and layout. The system architect drives collaboration working system engineering and leadership to build designs for production clusters and as blueprints for others. In addition, the architect interacts closely with outstanding technical program managers, engineers, and the best leading technical specialists in their domain while becoming an integral member of a global collaborative team.
What you’ll be doing:
Help create and deploy NVIDIA’s reference AI Super Computer datacenter designs
Define key engineering requirements and specifications to drive collaboration with system leads, customer requirements and engagements, marketing and application engineers
Provide requirements, engineering responses, feasibility analysis, present options and ensure the datacenter designs meet the optimal balance of performance, quality, scalability, re-use, reliability, cost and time-to-market
Document designs and plans to encourage collaboration with other design teams and as a reference for future deployments
Provide status updates and communicate issues internally providing recommendations as a key part of the team to help with tough trade-offs
What we need to see:
BS (Masters preferred) in Applied Science or Engineering (or equivalent experience)
8+ years of overall experience
Technical knowledge of datacenter design and familiarity power and cooling technologies
In depth understanding of the relevant datacenter industry partners, OEM and ODM, vendors and competitors
Strong communication, verbal, and written skills while working closely with key architects and data center deployment teams to align on product requirements
Team oriented with a "can do" attitude, highly enthusiastic in solving multi-disciplinary challenges
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
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.#deeplearningSource: NVIDIA on Workday · View original posting (opens in new tab)
This listingSenior Systems Architect - Datacenter$184,000 to $356,500
Senior Software Engineer, Subnet Management$184,000 to $356,500
Senior Software Engineer, AI Networking$184,000 to $356,500
Senior Software Engineer, Machine Learning Safety$184,000 to $356,500
Senior Firmware Security Architect, Networking$184,000 to $356,500
Senior Compiler Engineer - AI$184,000 to $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 to $356,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Systems Architect - Datacenter (this listing) | $184,000 - $356,500 |
| Senior Software Engineer, Subnet Management | $184,000 - $356,500 |
| Senior Software Engineer, AI Networking | $184,000 - $356,500 |
| Senior Software Engineer, Machine Learning Safety | $184,000 - $356,500 |
| Senior Firmware Security Architect, Networking | $184,000 - $356,500 |
| Senior Compiler Engineer - AI | $184,000 - $287,500 |
| Senior System Software Engineer, Performance - CUDA Driver | $184,000 - $356,500 |
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: US, CA, Santa Clara (Levels 4-5 combined)
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
- 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.
