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OEM Solutions Architect - AI Full Stack Public Sector

NVIDIA · Austin, TX, United States

Information Technology Infrastructure & Support Full-time Posted 4 days ago

About this role

NVIDIA seeks a forward-thinking Solutions Architect to lead as the main technical authority for our Federal partnership. This significant role involves linking NVIDIA’s accelerated computing platform with Federal infrastructure. You will assist U.S

Government agencies and Contractors in developing the next generation of "Sovereign AI." You will lead the technical strategy for the AI Factory with NVIDIA. You will ensure Federal customers—from the DoD and Intelligence Community to Civilian agencies—can deploy Generative AI at scale. You are part architect, part developer advocate, and part strategic advisor

You move comfortably from deep-code optimizations to C-Suite mission briefings. You must be a U.S. Citizen to apply for this position

What you'll be doing: Serve as the lead technical expert for Federal accounts and FSIs. Encourage the use of NVIDIA-on-OEM architectures by developing strategic solutions and conducting in-depth technical workshops. Full-Stack Infrastructure Architecture: Define and optimize the "AI Factory" for Federal use cases, integrating NVIDIA solutions through OEM server, storage, and NVIDIA Spectrum-X networking into cohesive, high-performance mission solutions

Lead the development of POCs and guide the integration of the NVIDIA software stack. This includes NIM, NeMo, Dynamo, and TensorRT-LLM. The integration targets production-grade environments for workloads such as DSP, GEOINT, and Cyber Analytics

Provide the technical expertise needed to navigate complex AI clusters within Federal security frameworks. These include FedRAMP, IL5/IL6, and air-gapped (SCIF) environments. Act as a strategic conduit between Federal customers and NVIDIA engineering teams

Translate outstanding public sector requirements into actionable feedback. Influence future GPU, networking, and software roadmaps. What We Need To See: A BS, MS, or PhD degree or equivalent experience in fields like CS, EE, or Physics is required

Candidates should possess more than 10

Apply for this role on NVIDIA’s official careers site.

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