Senior Systems Architect - Datacenter

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and document NVIDIA GPU-based AI supercomputing datacenter reference architectures. Define engineering requirements, perform feasibility analysis, drive power/cooling/layout trade-offs, collaborate with system leads, OEM/ODM partners, program managers and deployment teams to ensure performance, scalability, reliability, cost-effectiveness, and timely production.
Summary Generated by Built In

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 June 8, 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.

#deeplearning

Skills Required

  • Bachelor's degree in Applied Science or Engineering or equivalent experience
  • Master's degree in Applied Science or Engineering
  • 8+ years of overall experience
  • Technical knowledge of datacenter design and familiarity with power and cooling technologies
  • In-depth understanding of datacenter industry partners, OEMs/ODMs, vendors and competitors
  • Strong verbal and written communication skills
  • Ability to collaborate with system leads, program managers, and deployment teams
  • Team oriented with a can-do attitude and enthusiasm for solving multi-disciplinary challenges

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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