Senior AI Solutions Architect - Remote & Cloud GPU

NVIDIA; Santa Clara (CA); Remote; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Remote-friendly

Travel as needed

Job summary

NVIDIA in Santa Clara is seeking an experienced Solutions Architect to help customers adopt GPU hardware and software while building ML/DL, data analytics, and related topics on cloud platforms. You will engage researchers and data scientists and work with NVIDIA’s full stack to meet customer needs.

You will work with cloud providers to develop solutions, build PoCs, and deliver technical content. Remote-friendly role with potential travel, and a base salary range with equity eligibility.

Qualifications

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related Engineering field or equivalent experience.
• 4+ years of Solutions Engineering or similar role experience.
• Experience deploying AI/ML solutions in cloud environments (AWS, GCP, Azure, or OCI).
• Knowledge of DevOps/MLOps tools such as Docker, containers, Kubernetes, and data center deployments.
• Strong time management and ability to balance multiple tasks.
• Clear communication through documents and presentations.

Responsibilities

• Collaborate with Cloud Service Providers to develop and demonstrate NVIDIA-based solutions.
• Build and deploy scalable solutions using NVIDIA AI software on cloud GPUs.
• Create PoCs addressing critical business needs leveraging NVIDIA hardware and software.
• Partner with Sales and Developer Relations to identify and secure opportunities.
• Lead regular technical meetings to discuss project details, new technologies, and debugging sessions.
• Prepare and deliver technical content including presentations and workshops.

Skills

Solutions Engineering

AI/ML deployment

Cloud platforms

Education

BS/MS/PhD in Engineering or related field

Tools

Docker/Containers

Kubernetes

Data center deployments

Job description

NVIDIA in Santa Clara is seeking an experienced Solutions Architect to help customers adopt GPU hardware and software while building ML/DL, data analytics, and related topics on cloud platforms. You will engage researchers and data scientists and work with NVIDIA’s full stack to meet customer needs.

You will work with cloud providers to develop solutions, build PoCs, and deliver technical content. Remote-friendly role with potential travel, and a base salary range with equity eligibility.