Solutions Architect, AI Infrastructure - job 1 of 2
As a Solutions Architect, AI Infrastructure at NVIDIA, you will have the ground breaking opportunity to lead the charge in deploying innovative AI solutions. Our world-class team is dedicated to pushing the boundaries of what is possible with AI and accelerated computing. Your expertise will help us continue to compete at the highest level and drive flawless execution in our projects!
What you'll be doing:
Working with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments.
Guiding customer discussions on network topologies, compute/storage, and supporting the bring-up of server/network/cluster deployments.
Identifying new project opportunities for NVIDIA products and technology solutions in data center and AI applications.
Conducting regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions.
Building custom demonstrations and proofs of concept to address critical business needs.
Analyzing and debugging compute/network performance issues.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, or equivalent experience.
5+ years of experience in Solution Engineering or similar roles.
System-level understanding of server architecture, NICs, Linux, system software, and kernel drivers.
Practical knowledge of networking - switching & routing for Ethernet/Infiniband, and data center infrastructure (power/cooling).
Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes.
Effective time management and ability to balance multiple tasks.
Excellent communication skills for articulating ideas and code clearly through documents and presentations.
Ways to stand out from the crowd:
External customer-facing skills and experience.
Experience with the bring-up and deployment of large clusters.
Proficiency in systems engineering, coding, and debugging, including C/C++, Linux kernel, and drivers.
Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (e.g., DPU or equivalent experience, RoCE, InfiniBand), and/or ARM CPU solutions.
Familiarity with virtualization technology concepts.
If you are an exceptionally skilled Solutions Architect with a passion for AI and a proven track record in engineering, we want to hear from you. Join us in our mission to redefine the future of computing!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
Average salary estimate
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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