Senior AI Infrastructure Architect – Public Sector

NVIDIA Gruppe

Washington (District of Columbia)

On-site

USD 184,000 - 357,000

Full time

6 days ago
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Job summary

NVIDIA seeks a Senior AI Infrastructure Solutions Architect to join the Public Sector Continuous Bring Up team in Washington, DC. You will craft and deploy large-scale GPU infrastructure for public sector customers and work with product, engineering, and customers to accelerate AI adoption.

You will become the primary technical driver for customers during the build, deployment, and production of GPU infrastructure and applications, coordinating with cross-functional teams and leadership.

Qualifications

  • BS/MS/PhD in Electrical Engineering or Computer Science or equivalent experience.
  • 6+ years of Solution Engineering or similar roles with partners and customers.
  • Experience with high-performance networking or CPU/GPU acceleration.
  • Familiarity with schedulers such as SLURM, LSF, UGE.
  • Experience with benchmarking tools like HPL, NCCL, MLPerf and Kubernetes.

Responsibilities

  • Lead large GPU server/network deployments in Public Sector data centers.
  • Serve as the primary technical driver through build, deployment, and production.
  • Lead technical customer meetings on roadmaps, issues, and new solutions.
  • Collaborate with product, engineering, and sales to align strategies and opportunities.
  • Analyze and debug compute/network configurations for performance.
  • Create and deliver technical content: presentations, tutorials, references.

Skills

GPU acceleration
Networking
Kubernetes
MPI
Travel readiness

Education

Engineering degree

Tools

SLURM
LSF
UGE
HPL
NCCL
MLPerf

Job description

NVIDIA seeks a Senior AI Infrastructure Solutions Architect to join the Public Sector Continuous Bring Up team in Washington, DC. You will craft and deploy large-scale GPU infrastructure for public sector customers and work with product, engineering, and customers to accelerate AI adoption.

You will become the primary technical driver for customers during the build, deployment, and production of GPU infrastructure and applications, coordinating with cross-functional teams and leadership.

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