NVIDIA · 11 hours ago
Solutions Architect - Rack Scale AI Systems
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$208K/yr - $334K/yr
12+ years expNVIDIA is looking for a Solutions Architect to work in their Cloud Infrastructure Team. The role involves collaborating with various teams to deploy and optimize Rack Scale AI Products in data centers, ensuring high-quality deployments and improving time to market for next-gen products.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products
Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools
Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies
Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch
Defining and implementing full scale solutions for product onboarding into our hosted and private cloud environments
Solve sophisticated problems involving multi-site deployments of NVIDIA products and directly contribute to the overall quality of deployments and improve time to market next gen products
Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments
Integrate and Optimize Cluster Deployment methods and manage SW stack deployments, including provisioning these services into the cloud
Qualification
Required
Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience
12+ years of relevant experience
6+ years of Linux and Scripting experience
Solid background on OS Kernels and system engineering
A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment
Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, as well as excellent communication and planning skills
Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design
Understanding of dense datacenter design including compute, Storage and networking
Preferred
Understanding of software engineering principles and enterprise system architecture
Experience with gpu and compute clusters administration & automation
Experience in large scale QA environments, for product bring ups
Special skills in large-scale computing and cluster computing(MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
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
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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