NVIDIA Logo

NVIDIA

Solutions Architect - NVIDIA Cloud Partners

Posted Yesterday
Be an Early Applicant
In-Office or Remote
4 Locations
184K-357K Annually
Senior level
In-Office or Remote
4 Locations
184K-357K Annually
Senior level
Design and deploy large-scale AI/HPC GPU infrastructure with NVIDIA Cloud Partners. Drive technical engagements across the customer lifecycle, build PoCs, troubleshoot performance and scaling, run technical meetings, and prepare customer-facing technical content.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for an experienced Solutions Architect to help bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure. Do you want to be part of the team that brings GenAI, AI, ML, etc. hardware and software technologies to production in the field? We are looking for a Solutions Architect to join the NVIDIA team focused on supporting customers as they build the next-generation GPU infrastructure for their customers. As a part of the NVIDIA solutions architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA's most strategic customers as well as offering recommendations for business and engineering teams based on customer feedback on product strategy.

What you'll be doing:

  • Collaborating with NVIDIA Cloud Partners to create, implement, and put into operation NVIDIA's innovative hardware and software solutions.

  • Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.

  • Act as the primary technical support for customers during the development, construction and production of extensive GPU cloud infrastructure through whole customer lifecycle.

  • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.

  • Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure.

  • Prepare and deliver technical content to customers including presentations, workshops, etc.

  • Analyze and develop joint solutions for customer performance and scaling issues.

What we need to see:

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

  • Motivation and skills to own and drive technical engagements with customers throughout full customer life-cycle.

  • 7+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers.

  • Experience crafting and deploying large-scale cluster environments.

  • Practical expertise in data center design, development and execution for AI and HPC.

  • Efficient time management and capable of balancing multiple tasks. Ability to communicate ideas clearly through documents, presentations, etc.

Ways to stand out from the crowd:

  • Practical familiarity with NVIDIA hardware (such as GPUs, ETH/IB networking components, storage, etc.) within extensive AI and HPC cluster settings.

  • Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager, etc.

  • Background with at scale GPU systems in general, encompassing performance testing, AI benchmarking, and more.

  • Practical involvement in cluster administration and coordination (SLURM, K8s, etc.).

We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 July 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

Yesterday
In-Office or Remote
4 Locations
152K-288K Annually
Senior level
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Serve as a trusted technical advisor to NVIDIA Cloud Partners to design, integrate, and deploy large-scale GPU AI/HPC cloud infrastructure. Lead PoCs and production deployments of models, frameworks, and software stacks, run technical workshops and presentations, collaborate with sales, engineering, and product teams, and drive customer adoption and consumption.
Top Skills: AWSAzureBase Command ManagerDcgmGCPKubernetesMission ControlNcclNemo RetrieverNemotronNvidia Cuda-XNvidia DynamoNvidia GpusNvidia NemoNvidia Triton Inference ServerPythonPyTorchSlurmTensorFlowTensorrtTensorrt-LlmUfm
15 Hours Ago
Remote or Hybrid
USA
55K-142K Annually
Mid level
55K-142K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
The Incident & Problem Consultant manages high-impact IT incidents, coordinates response teams, monitors events, and drives issue resolution, ensuring effective communication throughout.
Top Skills: ItilMicrosoft Teams
15 Hours Ago
Remote or Hybrid
USA
38K-88K Annually
Mid level
38K-88K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
Provide high-volume, phone-based technical support and real-time troubleshooting for hardware, software, network, and access issues. Create and manage incidents in ServiceNow or similar ITSM tools, escalate complex problems, collaborate with internal teams, and recommend process improvements while maintaining security, data privacy, and excellent customer service in a remote workspace.
Top Skills: Call Center TechnologiesHardwareHelp DeskItsmNetworkingRemote Support ToolsServicenowSoftwareTicketing Systems

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account