Solutions Architect, AI and ML

NVIDIA • Redmond, WA

2d • $152,000 - $287,500

About The Position

NVIDIA is seeking an experienced Cloud Solution Architect to help customers adopt GPU hardware and software and build and deploy machine learning, deep learning, and data analytics solutions on cloud computing platforms. As part of the Solutions Architecture team, this role works with advanced computing hardware and software, engaging directly with developers, researchers, and data scientists at strategic technology customers. The Solutions Architect also collaborates with business and engineering teams on product strategy and delivers end-to-end technology solutions tailored to customer needs.

The role includes working with cloud service providers, building and demonstrating solutions using NVIDIA technologies, developing custom proofs of concept, and supporting customer engagements and business opportunities. The position makes extensive use of conferencing tools, with occasional travel for local customer visits and industry events.

Requirements

• At least 4 years of experience in Solutions Engineering or similar Sales Engineering roles.
• At least 3 years of work-related experience in deep learning and machine learning.
• A BS, MS, or PhD in Electrical or Computer Engineering, Computer Science, Statistics, Physics, or another engineering field, or equivalent experience.
• An established track record of deploying solutions in cloud computing environments, including AWS, GCP, or Azure.
• Knowledge of DevOps/ML Ops technologies such as Docker or containers, Kubernetes, and data center deployments.
• Ability to use at least one scripting language, such as Python.
• Good programming and debugging skills.
• Ability to communicate ideas and code clearly through documents and presentations.

Nice To Haves

• Experience with deep learning frameworks such as TensorFlow or PyTorch; GPU and CUDA experience is extremely helpful.
• AWS, GCP, or Azure Professional Solution Architect certification.
• Hands-on experience with NVIDIA GPUs and SDKs such as CUDA, RAPIDS, or Triton.
• System-level experience, specifically with GPU-based systems.
• Experience with deep learning at scale.
• Familiarity with parallel programming and distributed computing platforms.

Responsibilities

• Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA machine learning, deep learning, and data science software and hardware technologies.
• Build and deploy AI/ML solutions at scale using NVIDIA AI software on cloud-based GPU platforms.
• Build custom proofs of concept that address customers’ critical business needs using NVIDIA hardware and software.
• Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions.
• Prepare and deliver technical content to customers, including presentations about purpose-built solutions and workshops about NVIDIA products and solutions.
• Conduct regular technical customer meetings covering project and product roadmaps, feature discussions, and introductions to new technologies.
• Establish close technical ties with customers to facilitate rapid resolution of customer issues.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level