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Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers

NVIDIA· Architect, Solutions
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Santa Clara, CA, Seattle, WA$184k - $287.5kfull-timePosted 6mo ago

About the role

Senior Solutions Architect to assist customers in building AI/ML and HPC software solutions at scale, focusing on GPU performance and LLM workloads for cloud service providers.

Responsibilities

  • Working with tech giants to develop and demonstrate solutions based on NVIDIA’s software and hardware technologies.
  • Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
  • Serving as the main technical point of contact for customers developing intricate AI infrastructure, including performance aspects for large-scale LLM training and inference.
  • Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
  • Collaborating with customers to build Proof of Concepts (PoCs) and support cloud service integration for NVIDIA technology on hyperscalers.
  • Analyzing and developing solutions for customer performance issues for AI and systems performance.

Qualifications

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
  • 8+ years of engineering (performance/system/solution) experience.
  • Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
  • Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
  • Effective engineering program management with the capability of balancing multiple tasks.
  • Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.

Skills

Required:Communication
Nice to have:Deep Learning frameworks (PyTorch, JAX, etc.)Compilers (Triton, XLA, etc.)NVIDIA libraries (TRT, LLM, TensorRT, Nemo, NCCL, RAPIDS)Cloud platforms (AWS, GCP, Azure, OCI)DevOps/MLOps (Docker/containers, Kubernetes)

Benefits

  • equity
  • benefits (as listed in the job description)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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