Senior AI Infrastructure Architect – Public Sector

NVIDIA; Washington (District of Columbia); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity compensation

Benefits

Job summary

NVIDIA is seeking a Senior AI Infrastructure Solutions Architect to join its Public Sector Continuous Bring Up team. This role focuses on delivering GPU infrastructure deployments and AI solutions for federal customers, guiding network, compute, and storage designs from bring-up to production.

The ideal candidate has a strong background in accelerated computing, with SLURM/LSF, NCCL, and Kubernetes, and can travel to customer sites up to 20%. U.S.

Qualifications

• BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience.
• 6+ years supporting Solution Engineering or similar roles with partners and customers.
• Experience with high performance Networking or CPU/GPU acceleration.
• Experience with schedulers such as SLURM, LSF, UGE.
• Experience with benchmarking tools (HPL, NCCL, MLPerf) and Kubernetes.
• Ability to travel to customer sites up to 20%.

Responsibilities

• Work with public sector partners on large data center GPU deployments and bring-up.
• Serve as the primary technical driver during build, deployment, and production.
• Lead technical meetings and align engineering, product, and customers on roadmaps.
• Analyze compute/network issues and deliver performant GPU clusters.
• Create and present technical content, reference architectures, and tutorials.
• Communicate with customers and NVIDIA management; provide feedback to engineering.

Skills

High performance networking

GPU acceleration

Kubernetes

SLURM/LSF/UGE

Benchmarking (HPL, NCCL, MLPerf)

Customer-facing skills

Travel up to 20%

Education

BS/MS/PhD in Electrical Engineering or Computer Science

Tools

NVIDIA NCCL

InfiniBand/ NICs

DCGM

NVIDIA networking tech

Job description

NVIDIA is seeking a Senior AI Infrastructure Solutions Architect to join its Public Sector Continuous Bring Up team. This role focuses on delivering GPU infrastructure deployments and AI solutions for federal customers, guiding network, compute, and storage designs from bring-up to production.

The ideal candidate has a strong background in accelerated computing, with SLURM/LSF, NCCL, and Kubernetes, and can travel to customer sites up to 20%. U.S.