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Jobs · Engineering · Washington

Solutions Architect, AI and ML

NVIDIA AI · Seattle, WA · 2 wk ago
EngineeringFull-time

About the role

NVIDIA is building the world’s leading AI company, and we are looking for an experienced Cloud Solution Architect to help customers adopt GPU hardware and software, as well as build and deploy Machine Learning (ML), Deep Learning (DL), and data analytics solutions on various cloud computing platforms. As part of the Solutions Architecture team, you will work with cutting-edge computing hardware and software technologies, including the latest breakthroughs in machine learning and data science. You will engage directly with developers, researchers, and data scientists at some of NVIDIA’s most strategic customers and collaborate with business and engineering teams on product strategy.

Responsibilities

  • Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and data science software and hardware technologies.
  • Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
  • Create custom Proofs of Concept (PoCs) addressing customer’s critical business needs using NVIDIA hardware and software technology.
  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions.
  • Prepare and deliver technical content to customers, including presentations about purpose-built solutions and workshops on NVIDIA products.
  • Conduct regular technical customer meetings for project/product roadmap discussions, feature reviews, and introductions to new technologies.
  • Establish close technical ties with customers to facilitate rapid resolution of issues.

Requirements

  • 3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience.
  • 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks like TensorFlow or PyTorch. GPU and CUDA experience is extremely helpful.
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields, or equivalent experience.
  • Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure.
  • Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, and data center deployments.
  • Proficiency in at least one scripting language (e.g., Python).
  • Strong programming and debugging skills.
  • Ability to communicate ideas and code clearly through documents and presentations.

Skills

  • AWS, GCP, or Azure Professional Solution Architect Certification (preferred).
  • Hands-on experience with NVIDIA GPUs and SDKs (e.g., CUDA, RAPIDS, Triton).
  • System-level experience, specifically with GPU-based systems.
  • Experience with Deep Learning at scale.
  • Familiarity with parallel programming and distributed computing platforms.

Benefits

NVIDIA is widely considered one of the technology world’s most desirable employers, offering a creative and autonomous work environment. You will be eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is:

  • 124,000 USD - 195,500 USD for Level 2.
  • 152,000 USD - 241,500 USD for Level 3.

Schedule

This is a full-time role. We make extensive use of conferencing tools, but occasional travel is required for local on-site customer visits and industry events.

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