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Nvidia Senior Solutions Architect AI Cloud Services 
United States, Texas 
369072232

Today
US, CA, Santa Clara
US, TX, Austin
US, WA, Seattle
time type
Full time
posted on
Posted 4 Days Ago
job requisition id

What you’ll be doing:

  • Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.

  • Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.

  • Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.

  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

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

  • Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.

What we need to see:

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

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

  • Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI

  • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.

  • 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:

  • AWS, GCP, Azure or OCI Professional Solution Architect Certifications

  • Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)

  • Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.

  • Solid working knowledge of Python

  • System-level experience, specifically GPU-based systems

You will also be eligible for equity and .