NVIDIA · 23 hours ago
Senior Solutions Architect, AI Infrastructure
NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. The role involves driving deployment of AI hardware and software technologies in customer data centers, providing technical guidance, and identifying new project opportunities to enhance NVIDIA's product offerings.
Responsibilities
Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase
Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features
Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams
Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions
Build custom product demonstrations and POCs for solutions that address critical business needs of our customers
Analyze and debug compute/network configuration, performance issues to deliver performant clusters
Qualification
Required
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 8+ years of Systems/Solution Engineering (or similar Engineering roles) experience
System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers
Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling)
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes
Effective time management and capable of balancing multiple tasks
Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc
Preferred
External customer facing background
Experience with bringup and deployment of large clusters
Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers
Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions
Familiarity with virtualization technology concepts
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
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