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 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).
Infrastructure & Data Center Mastery: 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. This includes data curation, fine-tuning (LoRA/QLoRA), and large-scale inference orchestration with Kubernetes or Slurm.
Strategic Mission Communication: 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.
Operational Agility & Leadership: A self-starter approach with the proven ability to manage multiple complex, high-visibility projects within a fast-paced and multifaceted OEM partner ecosystem.
Ways To Stand Out From The Crowd:
Dell Ecosystem Expertise: Proven experience with Dell PowerEdge GPU servers and Dell’s management software (OpenManage, APEX).
Active Security Clearance: An active U.S. Government security clearance (Secret or TS/SCI) is highly preferred.
Developer Depth: Strong programming skills in C/C++, Python, and CUDA, with experience profiling and optimizing code for GPU acceleration.
Domain Expertise: Deep technical background in Digital Signal Processing (DSP), Cybersecurity, or Autonomous Systems.
Ecosystem Influence: Experience working with major Defense Contractors (e.g., Lockheed Martin, Raytheon, Northrop Grumman) to integrate AI into mission platforms.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS, MS, or PhD in CS, EE, or Physics or equivalent experience
- More than 10 years of professional experience with 7 years in technical pre-sales or architecture
- Expert knowledge of full-stack data center architecture including x86/ARM systems
- Hands-on experience across the entire AI lifecycle including data curation and large-scale inference orchestration
- Outstanding ability to translate AI architectures into mission outcomes for leadership
- Proven ability to manage complex, high-visibility projects
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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