Solutions Architect, AI and ML

Cloud Solution Architect

About the Role

NVIDIA is building the world's leading AI company and is looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and software, as well as building and deploying Machine Learning (ML), Deep Learning (DL), and data analytics solutions on various Cloud Computing Platforms.

As part of the Solutions Architecture team, you will work with some of the most exciting computing hardware and software technologies including the latest breakthroughs in machine learning and data science. A Solutions Architect is the first line of technical expertise between NVIDIA and our customers. You will engage directly with developers, researchers, and data scientists with some of NVIDIA's most strategic technology customers, and work directly with business and engineering teams on product strategy.

Responsibilities

• Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA's ML/DL and data science software and hardware technologies
• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms
• Build custom PoCs for solutions that address customer's critical business needs applying NVIDIA hardware and software technology
• Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions
• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies
• Establish close technical ties to the customer to facilitate rapid resolution of customer issues

Requirements

• 4+ years of Solutions Engineering (or similar Sales Engineering roles)
• 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful
• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience
• Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure
• Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments
• Ability to use at least one scripting language (i.e., Python)
• Good programming and debugging skills
• Ability to communicate your ideas/code clearly through documents, presentation etc.

Stand Out Qualifications

• AWS, GCP or Azure Professional Solution Architect Certification
• Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)
• System-level experience specifically GPU-based systems
• Experience with Deep Learning at scale
• Familiarity with parallel programming and distributed computing platforms

Work Environment

Extensive use of conferencing tools, with occasional travel required for local on-site visits to customers and industry events.

Compensation and Benefits

• Level 3 base salary range: 152,000 USD - 241,500 USD
• Level 4 base salary range: 184,000 USD - 287,500 USD
• Equity and benefits eligible

Base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Application Deadline

Applications for this job will be accepted at least until October 27, 2026.

Equal Opportunity

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.