NVIDIA Logo

NVIDIA

OEM Solutions Architect - AI Full Stack Public Sector

Posted 10 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Austin, TX
184K-357K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in Austin, TX
184K-357K Annually
Expert/Leader
Lead as the main technical authority for NVIDIA's Federal partnership, developing AI solutions and optimizing full-stack architecture for government agencies.
The summary above was generated by AI

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 24, 2026.

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.

Similar Jobs

2 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves executing AI-first search strategies, performance analysis, and optimization in SEO/AIO for improved business outcomes.
Top Skills: Adobe AnalyticsAhrefsAIAiropsBotifyGoogle Search ConsoleJavaScriptJson-LdProfoundSemrushSeo
2 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Sr. Delivery Acceleration AI Engineer will develop AI-driven solutions for implementation processes, optimize workflows, and ensure alignment with professional services. Responsibilities include creating AI agent workflows, validating outputs, and integrating solutions with ServiceNow's platform.
Top Skills: JavaScriptPythonServicenowTypescript
2 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves preventing customer churn, collaborating with sales on product adoption, providing governance guidance, and enhancing customer satisfaction through strategic execution and problem solving.
Top Skills: AIServicenow

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account