Cloud AI/ML Solutions Architect - GPU & DL

NVIDIA Corporation; Redmond (WA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Travel opportunities

Job summary

NVIDIA Corporation in Redmond, WA seeks an experienced Cloud Solution Architect to help customers adopt GPU hardware and software, and to build ML/DL and data analytics solutions on major cloud platforms. You will engage researchers, engineers, and data scientists, shaping adoption strategies and guiding product direction with customers and partners.

You will collaborate with sales and DR teams, deliver workshops and technical content, and drive end-to-end solutions leveraging NVIDIA CUDA,

Qualifications

• 4+ years in Solutions Engineering or equivalent.
• 3+ years in Deep Learning / ML with frameworks TensorFlow or PyTorch.
• Experience deploying solutions in cloud environments (AWS, GCP, Azure).
• Knowledge of DevOps/ML Ops tooling such as Docker and Kubernetes.
• Ability to code with at least one scripting language (Python).

Responsibilities

• Collaborate with Cloud Service Providers to demonstrate NVIDIA ML/DL solutions.
• Build and deploy AI/ML solutions at scale on cloud GPU platforms.
• Create PoCs addressing business needs using NVIDIA hardware/software.
• Partner with Sales or Developer Relations to identify new opportunities.
• Deliver technical content and run workshops for customers.

Skills

Solutions architecture

ML/DL experience

Python scripting

Strong communication

TensorFlow or PyTorch

Education

BS/MS/PhD in a related engineering/science field

Tools

Docker

Kubernetes

Job description

NVIDIA Corporation in Redmond, WA seeks an experienced Cloud Solution Architect to help customers adopt GPU hardware and software, and to build ML/DL and data analytics solutions on major cloud platforms. You will engage researchers, engineers, and data scientists, shaping adoption strategies and guiding product direction with customers and partners.

You will collaborate with sales and DR teams, deliver workshops and technical content, and drive end-to-end solutions leveraging NVIDIA CUDA,