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Tech Stack
Tools & technologiesKubernetes
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
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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
