OEM Solutions Architect – AI Full Stack, Public Sector

🕒 il y a 1 mois

🌽 Illinois, Texas – Distant

info

💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NVIDIA

NVIDIA

10 000+ employés

Fondée en 1993

🤖 Intelligence artificielle

🎮 Jeux vidéo

Artificial Intelligence • Gaming • Automotive

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• Equity • Benefits

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