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NVIDIA

Solutions Architect - Cloud AI

Sorry, this job was removed at 08:21 p.m. (PST) on Wednesday, Dec 10, 2025
In-Office or Remote
3 Locations
In-Office or Remote
3 Locations

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We are excited to announce an opening for a Cloud Solution Architect at NVIDIA and are seeking a passionate individual with a strong interest in AI and machine learning! If you are enthusiastic about contributing to projects that push the boundaries of what is possible with cloud scale AI, we invite you to read on.
What You'll Be Doing:

  • Working as a key member of our cloud solutions team, you will be the go-to technical expert on NVIDIA's products, helping our clients architect and optimize GPU solutions for AI services.

  • Collaborating directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle.

  • Acting as a trusted advisor to our clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure.

What We Need To See:

  • 4+ years of experience in cloud computing and/or large-scale AI systems.

  • A BS in EE, CS, Math, or Physics, or equivalent experience.

  • A proven understanding of cloud computing and large-scale computing systems.

  • Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow.

  • Passion for machine learning and AI, and the drive to continually learn and apply new technologies.

  • Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.

Ways To Stand Out From The Crowd:

  • Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures.

  • Knowledge of Azure cloud and AzureML services.

  • Experience with CUDA programming and optimization.

  • Familiarity with NVIDIA networking technologies such as Infiniband.

  • Proficiency in Linux, Windows Subsystem for Linux, and Windows.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 26, 2025.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.

HQ

NVIDIA Seattle, Washington, USA Office

4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

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