Senior Solutions Architect, AI Infrastructure

Nvidia

Actively hiring Posted this week
Austin, TX · Hillsboro, OR · Redmond, WA · Santa Clara, CA Posted 3 days ago $184,000–$287,500 / year
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At a glance

AI generated

TL;DR

Join NVIDIA as an experienced Solutions Architect focused on accelerated networking for AI, Machine Learning, and HPC. You will collaborate with Cloud Providers and Hyperscalers to develop and deploy cutting-edge compute and networking solutions based on NVIDIA's innovative hardware. Your daily tasks include working on POCs for AI solutions, conducting technical customer meetings, and providing strategic recommendations to engineering teams. Ideal candidates have over eight years of experience in a similar role, with expertise in sophisticated data center networking technologies such as GPUs, CPUs, InfiniBand, Ethernet fabric topologies, PCIe, host networking, and switches. You should also possess hands-on experience with NVIDIA’s Ethernet and InfiniBand hardware, including NICs/HCAs, switches, and GPUs, along with a strong understanding of system architecture's impact on network performance.

Skills

NVIDIA_Ethernet InfiniBand GPUs CPUs PCIe DPUs NICs HCAs switches rack_scale_design large_scale_GPU_infra_deployments system_hardware_architecture kernel_drivers PCIe_devices AI_data_center_networking

What you'll do

  • Develop and deploy AI infrastructure hardware solutions for Cloud Providers and Hyperscalers.
  • Conduct Proof of Concept (POC) projects for AI solutions addressing critical business needs.
  • Lead technical customer meetings for introductions, feature discussions, workshops, and performance debugging sessions.
  • Provide strategic product recommendations to business and engineering teams based on customer insights.
  • Perform end-to-end compute and network performance debugging across hosts, switches, and optics.

What we're looking for

  • 8+ years experience as Solutions Architect or similar technical pre-sales roles.
  • Proficient in AI data center networking, including GPUs, CPUs, InfiniBand, Ethernet fabric topologies.
  • Expertise in end-to-end compute and network performance debugging across hosts, switches, optics.
  • Strong customer orientation with excellent external facing skills for technical presentations.
  • Hands-on experience with NVIDIA Ethernet and InfiniBand hardware, NICs/HCAs, switches, GPUs.

Employer

About Nvidia

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 825 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 813 roles with salary data.

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