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Senior Solution Architect, AI Infrastructure

NVIDIA· Architect, Solutions
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Hybrid (US, DC, Remote)$184k - $287.5k + equityFull-timePosted 1mo ago

About the role

Senior AI Infrastructure Solutions Architect for NVIDIA’s Public Sector Continuous Bring Up team, focusing on large-scale GPU infrastructure deployments and AI transformation for government programs within the Public Sector.

Responsibilities

  • Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. Visit customer data centers during bring up phase.
  • Become the primary technical driver for customers during the build, deployment, construction, integration, and production of GPU infrastructure and applications throughout the entire customer lifecycle.
  • Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions.
  • Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA.
  • Analyze and debug compute/network configuration and performance issues to deliver performant clusters.
  • Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
  • Lead communication with customers and NVIDIA Management.
  • Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools.

Qualifications

  • BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience.
  • 6+ years supporting Solution Engineering (or similar Sales Engineering, Solution Architecture) including experience working directly with partners and customers.
  • Experience with high performance Networking or CPU/GPU application acceleration.
  • Background with schedulers such as SLURM, LSF, UGE, etc.
  • Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.
  • Ability to travel to customer sites up to 20% of the time.

Skills

Required:High performance networking and GPU/CPU accelerationCluster design and deploymentSLURM/LSF/UGE schedulersBenchmarking tools (HPL, NCCL tests, MLPerf)KubernetesCustomer-facing communication

Benefits

  • equity
  • benefits (per NVIDIA benefits)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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