Solutions Architect, AI and ML

Nvidia

Actively hiring
Us, Wa, Redmond, US Posted 80 days ago $124,000–$195,500 / year
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At a glance

AI generated

TL;DR

NVIDIA seeks an experienced Cloud Solution Architect to join its Solutions Architecture team, working closely with strategic technology customers to drive the adoption of GPU hardware and software solutions. This role involves collaborating directly with developers, researchers, and data scientists to build and deploy AI/ML solutions at scale on cloud-based platforms like AWS, GCP, or Azure. The ideal candidate will develop custom PoCs addressing critical business needs using NVIDIA’s cutting-edge technologies, prepare technical content for customer presentations, and conduct regular meetings to discuss project roadmaps and new technologies. Essential skills include 3+ years of experience in Deep Learning and Machine Learning with frameworks like TensorFlow or PyTorch, GPU expertise, and knowledge of cloud computing environments and DevOps tools such as Docker and Kubernetes.

Skills

AWS GCP Azure TensorFlow PyTorch CUDA RAPIDS Kubernetes Docker Python DevOps CI/CD NVIDIA GPUs GPU-based systems Deep Learning Parallel programming Distributed computing platforms

What you'll do

  • Develop and demonstrate AI/ML solutions using NVIDIA’s technology on cloud platforms.
  • Build custom PoCs addressing critical business needs with NVIDIA hardware/software.
  • Identify new business opportunities by partnering with Sales Account Managers.
  • Deliver technical content such as presentations and workshops about NVIDIA products.
  • Conduct regular customer meetings to discuss project roadmaps and new technologies.
  • Establish close technical ties for rapid resolution of customer issues.

What we're looking for

  • 3+ years of Solutions Engineering or equivalent experience in AI/ML solutions.
  • Deep expertise in ML/DL frameworks like TensorFlow or PyTorch with GPU/CUDA knowledge.
  • BS/MS/PhD in relevant fields or equivalent work experience.
  • Proven track record deploying cloud-based AI solutions on AWS, GCP, Azure.
  • Proficiency in DevOps tools such as Docker/Kubernetes and scripting languages.
  • Hands-on experience with NVIDIA GPUs and SDKs including CUDA, RAPIDS, Triton.

Market check

Salary context

This $124,000–$195,500 range sits above 24% of similar postings on FindRole.

Peer median band

$155,420–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$161,525–$235,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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