NVIDIA Logo

NVIDIA

Senior Solution Architect, AI Infrastructure

Posted 12 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in DC, USA
184K-357K Annually
Senior level
Remote
Hiring Remotely in DC, USA
184K-357K Annually
Senior level
Lead the implementation of GPU infrastructure for U.S. Federal clients by collaborating with partners, addressing technical challenges, and ensuring effective deployments. Oversee customer relationships, provide technical guidance, and navigate complex engineering solutions while promoting AI benefits.
The summary above was generated by AI

NVIDIA’s Federal business unit is seeking an experienced solutions lead. This person will be passionate about crafting an entire market and serving the US Federal Government during digital transformation. The ideal candidate will have a strong technical background in accelerated computing technology and artificial intelligence and leverage those skills to help government programs within the US Public Sector market. They will collaborate closely with product, engineering, and federal customers to accelerate NVIDIA technology in the design to deployment of large-scale GPU infrastructure. A successful candidate will demonstrate skill in transcending boundaries, working effectively with product teams, account managers, field organization, and customers to drive success.

You must be a U.S. Citizen to apply for this position.

What you’ll be doing:

  • Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. 

  • Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU infrastructure and applications throughout the entire customer lifecycle. 

  • Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions. 

  • Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA. 

  • Analyze and debug compute/network configuration and performance issues to deliver performant clusters. 

  • Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications. 

  • Educate C-Suite-level decision-makers about the benefits of AI and high-performance computing.

  • Lead communication with customers and NVIDIA Management.

  • Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools.

  • Ability to travel ~20%

What we need to see:

The position requires solving complex multidisciplinary problems. They will often be responsible for leading the resolution of technical issues across multiple engineering teams and coordinating the solutions to the customer.

  • BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience. 

  • 6+ years supporting Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers. 

  • Experience with high performance Networking or CPU/GPU application acceleration is preferred. 

  • Strong interpersonal skills and a background in direct customer interaction.  

  • Subject Matter Expertise (SME) in High-Performance Computing, or Networking

  • Critical thinking capability, the ability to concisely communicate vision (both written and verbal) and engage in cross-functional collaboration.

Ways to stand out from the crowd: 

  • Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager. Experience building and/or integration artificial intelligence solutions. 

  • Experience with bring up and deployment of large GPU clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance. 

  • Experience working with enterprise developers and strong customer-facing skills.  

  • Active Security Clearance is highly desirable.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, independent, and focused on serving the mission of the U.S. Federal Government, we want to hear from you!

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 May 15, 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

An Hour Ago
In-Office or Remote
New York, NY, USA
230K-298K Annually
Senior level
230K-298K Annually
Senior level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Provide strategic legal support for the Arc blockchain, advising on design, regulatory compliance, and risk management while collaborating with cross-functional teams.
Top Skills: BlockchainDigital AssetsSmart ContractsWeb3
An Hour Ago
Remote
USA
230K-368K Annually
Senior level
230K-368K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.
Top Skills: AWSGoJavaLambdaLangchainPythonSagemakerSalesforceSqs
An Hour Ago
Remote or Hybrid
United States
140K-187K Annually
Senior level
140K-187K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The role involves leading a team to drive revenue growth, enhance customer experience, and manage dealership operations while ensuring adherence to GM's values and performance goals.
Top Skills: Automotive Parts And Service SystemsFixed Analysis Tools

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account