Senior Solutions Architect, AI Cloud Services

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Collaborate with Cloud Service Providers to create and showcase solutions utilizing NVIDIA software and hardware technologies.

• Develop and implement solutions on a large scale using NVIDIA AI software on cloud-based GPU platforms.

• Construct tailored proofs of concept that meet the critical business requirements of customers using NVIDIA hardware and software.

• Partner with Sales Account Managers or Developer Relations Managers to pinpoint and secure business opportunities.

• Facilitate technical customer meetings to discuss project/product specifics, feature insights, emerging technologies, and troubleshooting.

• Prepare and present technical content to customers, including workshops and presentations.

• Act as the primary source of technical expertise between NVIDIA and its customers.

• Engage with developers, researchers, and data scientists on NVIDIA's strategic technologies.

• Collaborate with business and engineering teams on product strategy.

• Drive comprehensive technology solutions that incorporate NVIDIA's entire technology stack.

⛳️ Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering discipline, or equivalent experience.

• Over 4 years of experience in Solutions Engineering or a similar Sales Engineering role.

• Proven experience in deploying AI/ML solutions within cloud environments such as AWS, GCP, Azure, or OCI.

• Familiarity with DevOps/MLOps technologies, including Docker/containers, Kubernetes, and data center deployments.

• Strong time management skills with the ability to juggle multiple tasks effectively.

• Proficient in clearly communicating ideas through both documentation and presentations.

• AWS, GCP, Azure, or OCI Professional Solution Architect Certifications.

• Practical experience with NVIDIA GPUs and software development kits such as CUDA, Triton, and TensorRT-LLM.

• In-depth knowledge of the software development lifecycle, system design, architectural patterns, and extensive testing.

• Solid proficiency in Python programming.

• Experience with GPU-based systems at the system level.

🏝️ Benefits

• Equity.

• Comprehensive benefits.

• Flexible remote work locations.

• Occasional travel for local on-site customer engagements and industry events.