OEM Solutions Architect – AI Full Stack, Public Sector

🕒 April 20

🌽 Illinois, Texas – Remote

🌽 Illinois – Remote 🤠 Texas – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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

• 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

• Equity • Benefits