Enterprise AI Solutions Architect – On-Prem & Partners

NVIDIA Corporation

San Francisco (CA)

Remote

USD 152,000 - 288,000

Full time

5 days ago
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Benefits offered by this job

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Benefits
Remote-friendly

Job summary

NVIDIA Corporation is seeking a Senior Solutions Architect to drive technical engagements with partners, OEMs, and customers across NVIDIA AI Factory solutions, focusing on on-premises enterprise deployments.

You will design and validate scalable architectures, map workloads to NVIDIA's hardware and software stack, and lead cross-functional efforts to enable adoption, deployment, and ongoing optimization of NVIDIA AI platforms.

Qualifications

  • Bachelor's or Master's degree in CS, engineering, or related field.
  • 5+ years in industry with 3-5+ years hands-on compute, networking, and storage hardware and software.
  • Deep expertise in system management software, OS, firmware, and scalable hardware.
  • Proven track record of architecting and delivering on-premises AI-focused solutions.
  • Strong problem-solving, empathy for partners, and ability to influence product decisions.

Responsibilities

  • Lead technical engagements with NVIDIA partners and customers.
  • Design, validate, and support on-premises architectures that map to NVIDIA tech stack.
  • Drive platform adoption and enablement for developers and enterprises.
  • Collaborate cross-functionally with engineering and product teams.
  • Provide authoritative knowledge sharing and infrastructure insights.

Skills

Technical leadership
Customer engagement
Architectural design
Problem solving
Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

BMCs
PCIe topology knowledge
Cluster management software

Job description

NVIDIA Corporation is seeking a Senior Solutions Architect to drive technical engagements with partners, OEMs, and customers across NVIDIA AI Factory solutions, focusing on on-premises enterprise deployments.

You will design and validate scalable architectures, map workloads to NVIDIA's hardware and software stack, and lead cross-functional efforts to enable adoption, deployment, and ongoing optimization of NVIDIA AI platforms.

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