Senior Solutions Architect - AI Factory Deployment
Nvidia
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How this pay compares to similar roles
This role pays less than 52% of similar roles. Most pay $153,300–$240,575 — the shaded band above. At the midpoint, this role pays about $197k versus about $197k for comparable roles.
Based on 240 similar postings.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 980 open roles on FindRole.
Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.
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At a glance
Join our AI Factory infrastructure deployment team as a Solutions Architect, where you will play a pivotal role in deploying advanced NVIDIA GPU products across data centers and edge computing environments. You will architect high-performance distributed AI infrastructures, support sales teams with technical expertise on GPU and networking solutions, and establish strong relationships with customer engineers and management. Your responsibilities include identifying key product requirements, providing on-site support for hardware and software issues, leading the lifecycle of NVIDIA’s products from design to end-of-life, and offering training to direct sales teams and channel partners. This role requires proficiency in Kubernetes, Slurm, Docker, AI tools like Claude and Codex, as well as experience with Redfish, Grafana, and Prometheus. Ideal candidates have a background in engineering or computer science, extensive experience in NCP, CSP, site reliability, and virtualization technologies, and hands-on problem-solving skills within customer infrastructures.
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