Senior Systems Architect - Datacenter
NVIDIA· Architect
Santa Clara, CA$184k - $287.5kFull-timePosted 4mo ago
About the role
Datacenter Systems Architect to craft blueprints for NVIDIA GPU-based AI Super Computing Datacenters, focusing on high-performance datacenter design including power, cooling, and layout, and collaborating across engineering, program management, and customer engagements.
Responsibilities
- 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
Qualifications
- 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
Skills
Required:Datacenter designEngineering requirements gatheringFeasibility analysisDocumentation and communication
Benefits
- equity
- benefits (see NVIDIA Benefits)
Last updated Oct 23, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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