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 design and showcase solutions utilizing NVIDIA software and hardware technologies.

• Create and implement scalable solutions leveraging NVIDIA AI software on cloud GPU platforms.

• Develop tailored proofs of concept that address critical business challenges using NVIDIA technologies.

• Work alongside Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities.

• Conduct technical meetings with customers, covering project and product details, feature discussions, emerging technologies, and troubleshooting.

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

• Act as the primary technical expert connecting NVIDIA with its customers.

• Engage with developers, researchers, and data scientists.

• Collaborate closely with business and engineering teams on product strategy.

• Lead end-to-end technology solutions that incorporate NVIDIA’s complete technology stack.

⛳️ Requirements

• BS, MS, or PhD in Electrical/Computer Engineering, Computer Science, Physics, or a related Engineering field, or equivalent experience.

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

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

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

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

• Proficient in articulating ideas clearly in both documents and presentations.

• Professional Solutions Architect certification from AWS, GCP, Azure, or OCI is a preferred advantage.

• Practical experience with NVIDIA GPUs and SDKs such as CUDA, Triton, and TensorRT-LLM is preferred.

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

• Strong working knowledge of Python is preferred.

• Experience with GPU-based systems on a system-level is preferred.

• Occasional travel is required for local customer visits and industry events.

🏝️ Benefits

• Equity

• Benefits

• Remote work locations

• Occasional travel for local on-site visits to customers and industry events