Senior Solutions Architect, Enterprise AI Factories

What you'll do

• Map customer workloads to NVIDIA technologies and co-design scalable architectures, integration milestones, and deployment plans.
• Lead hands-on technical engagements, troubleshoot complex issues, and support on-premises solution deployment and adoption.
• Share customer and partner needs with product and engineering teams to inform priorities and improve NVIDIA solutions.

What they ask for

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in a relevant industry area, including 3-5+ years of direct, hands-on experience with compute, networking, and storage hardware and software platforms.
• Deep technical expertise in system management software, operating systems, system firmware, and large-scale hardware infrastructure.
• Hands-on experience deploying, using, and operating on-premises AI-focused solutions, including system architectures, rack-scale firmware, cluster management, workload management, and associated hardware.

Nice to have

• Experience with cluster management tools such as NVIDIA Base Command Manager or MaaS, and workload orchestration software such as Slurm or Kubernetes.
• Practical knowledge of system and rack-scale hardware, including BMCs, PCIe communication, and network topologies.

Pay

152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)

Tools

NVIDIA Base Command Manager, MaaS, Slurm, Kubernetes, BMCs, PCIe

AI focus

Enables adoption and deployment of on-premises AI-focused NVIDIA AI Factory solutions, including architecture, hardware and software integration, and workload support.