Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

OEM Solutions Architect – AI Full Stack, Public Sector

NVIDIA

Solutions Architect leading as technical authority for NVIDIA’s Federal partnership. Linking accelerated computing with Federal infrastructure for Generative AI deployment.

Posted 4/20/2026full-timeRemote • Illinois, Texas • 🇺🇸 United StatesSeniorLead💰 $184,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies
Kubernetes

About the role

Key responsibilities & impact
  • 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.
  • 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, including NIM, NeMo, Dynamo, and TensorRT-LLM.
  • Provide the technical expertise needed to navigate complex AI clusters within Federal security frameworks, including FedRAMP, IL5/IL6, and air-gapped (SCIF) environments.
  • Act as a strategic conduit between Federal customers and NVIDIA engineering teams.

Requirements

What you’ll need
  • A BS, MS, or PhD degree or equivalent experience in fields like CS, EE, or Physics is required.
  • More than 10 years of professional experience.
  • At least 7 years must involve technical pre-sales or architecture roles supporting U.S. Federal missions (DoD, IC, or Civilian).
  • Expert knowledge of full-stack data center architecture, including x86/ARM systems, high-performance storage solutions, and low-latency networking (InfiniBand/RDMA).
  • Hands-on experience covers the entire AI lifecycle, including data curation, fine-tuning (LoRA/QLoRA), and large-scale inference orchestration with Kubernetes or Slurm.
  • Outstanding ability to translate complex AI architectures into mission-relevant outcomes for GS-level leadership while maintaining deep technical credibility with engineers and data scientists.
  • A self-starter approach with the proven ability to manage multiple complex, high-visibility projects within a fast-paced and multifaceted OEM partner ecosystem.

Benefits

Comp & perks
  • Equity
  • Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI FactoryNVIDIA software stackNIMNeMoDynamoTensorRT-LLMfull-stack data center architecturex86 systemsARM systemsKubernetes
Soft Skills
technical expertisestrategic conduitoutstanding communicationself-starterproject managementability to translate complex architecturesdeep technical credibility