Solutions Architect - Cloud AI

Posted 3 Days Ago
Be an Early Applicant
3 Locations
In-Office or Remote
152K-288K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Solutions Architect will optimize NVIDIA's AI GPU solutions, work with engineering teams, and provide best practices for Microsoft AI workloads.
Summary Generated by Built In

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 152,000 USD - 241,500 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 February 16, 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.

Top Skills

Azure
Azureml
C
C++
Cuda
Linux
Python
PyTorch
TensorFlow
Windows
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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