Solutions Architect, Infrastructure
AI summary of the role
NVIDIA seeks an Infrastructure Solutions Architect to lead deployment and bring-up of next-generation Data Center GPUs and networking platforms for hyperscaler customers.
What you’ll do
- Lead end-to-end execution for Hyperscaler customers to rapidly bring NVIDIA Data Center GPU and networking platforms to market at scale.
- Drive strategic partnership and alignment with Product teams to understand roadmap intent and co-define critical metrics.
- Influence without authority across Product, Engineering, Sales, Operations, and CSP customers to unblock paths for scale-up.
- Analyze deployment and performance data to identify product health trends, system bottlenecks, and operational risks.
What you’ll bring
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or similar, or equivalent experience.
- 4+ years experience in Solutions Architecture, Infrastructure Engineering, or similar technical roles.
- Hands-on experience with bring-up and validation of large-scale NVIDIA GPU platforms, including multi-GPU and multi-node architectures.
- Understanding of high-performance networking technologies (e.g., RDMA, congestion control, high-bandwidth interconnects) and their role in distributed AI workloads.
Technologies
CUDA · NCCL · NVSwitch · NVLink · RDMA · BMC/IPMI/Redfish · Linux · GPU · DPU · containers
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Implementation & delivery · Evidence for this classification:
Do you thrive on taking a strategic product from launch to go‑to‑market at scale across the world’s largest customers? NVIDIA is looking for an Infrastructure Solutions Architect to lead deployment and bring‑up of our next‑generation Data Center GPUs and networking platforms. As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and organizational spaces — serving as the bridge between early platform readiness, cloud engineering teams, product strategy, and large‑scale customer deployments. We are looking for Solution Architects to combine hands‑on infrastructure expertise with multi-functional leadership to accelerate adoption of NVIDIA technologies across worldwide cloud hosting providers and large enterprise environments. What You’ll Be Doing: Lead end‑to‑end execution for Hyperscaler customers to rapidly bring NVIDIA Data Center GPU and networking
More from the job description
Do you thrive on taking a strategic product from launch to go‑to‑market at scale across the world’s largest customers? NVIDIA is looking for an Infrastructure Solutions Architect to lead deployment and bring‑up of our next‑generation Data Center GPUs and networking platforms. As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and organizational spaces — serving as the bridge between early platform readiness, cloud engineering teams, product strategy, and large‑scale customer deployments. We are looking for Solution Architects to combine hands‑on infrastructure expertise with multi-functional leadership to accelerate adoption of NVIDIA technologies across worldwide cloud hosting providers and large enterprise environments. What You’ll Be Doing: Lead end‑to‑end execution for Hyperscaler customers to rapidly bring NVIDIA Data Center GPU and networking platforms to market at scale. Drive strategic partnership and alignment with Product teams to understand roadmap intent, co‑define critical metrics, and ensure unified direction across technical, sales, and leadership organizations. Influence without authority across Product, Engineering, Sales, Operations, and CSP customers, driving clarity, alignment, and unblock paths for scale‑up. Analyze deployment and performance data, identifying product health trends, system bottlenecks, and operational r [... source excerpt omitted ...] mance communication paths etc) at Hyperscalers or Cloud Service Providers. Demonstrated leadership resolving multi‑team infrastructure challenges across engineering, product, and customer groups. A consistent record of taking GPU or infrastructure products from pilot to high‑volume deployment in large data center environments. Familiarity with modern deep learning, LLM architectures, and distributed training/inference challenges at scale. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also
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