Solutions Architect - Cloud Providers and Hyperscale

Reposted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead technical engagements with cloud providers, optimize NVIDIA technologies, develop AI solutions, and prepare technical content for customers.
Summary Generated by Built In

We are now looking for a Solutions Architect! NVIDIA is searching for Solutions Architect with expertise in AI, Machine Learning, and HPC for Hyperscale and Cloud Providers focus. Primary responsibilities will be to lead technical engagements with customers as they integrate, optimize, and apply NVIDIA’s hardware and software technologies.

Would you like to collaborate with some of the biggest companies developing brand new AI solutions by applying both NVIDIA and cloud technologies? Interested in broadening your skills in building robust AI pipelines and deployment of large-scale AI models in the cloud? Then read on

What you’ll be doing:

  • Lead on NVIDIA software products within a focused account team, assisting large customers and cloud providers in developing new workflows using NVIDIA technologies (hardware and software).

  • Work closely with outstanding engineering and product teams to tackle tough problems and bring NVIDIA solutions to market in customer products and workflows

  • Become a trusted advisor for the customer by understanding their environment, constraints, and business models and then translate those into product requirements and solutions to solve their problems applying NVIDIA technologies.

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

  • Work with customers to build PoCs for solutions to address critical business

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

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 help drive technical pre-sales activities.

  • 5+ years of Solutions Engineering (or similar Sales Engineering roles) experience.

  • Familiarity (work experience) with Python, scripting, etc.

  • Familiarity with AI frameworks

  • Effective time management and capable of balancing multiple tasks.

  • Ability to communicate ideas clearly through documents, presentation, etc.

Ways to stand out from the crowd:

  • External customer facing skill-set and background

  • Hands-on experience developing AI applications using NVIDIA technologies (GPUs and/or software)

  • Cloud experience (applying cloud concepts like Database, etc. in developing workflows for customer use cases

  • Hands-on experience with GPU systems in general including but not limited to AI workflow development, performance development, AI benchmarking, etc.

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 October 13, 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.

Top Skills

AI
Ai Frameworks
Cloud Technologies
Hpc
Machine Learning
Nvidia Hardware
Nvidia Software
Python
Scripting
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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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