Solutions Architect, AI and ML

NVIDIA

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States • California, Washington

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💰 $120,000 - $235,750 per year

Mid-LevelSenior

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

Working 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 solution 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
Engage directly with developers, researchers, and data scientists and work with business and engineering teams on product strategy

3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience
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.
AWS, GCP or Azure Professional Solution Architect Certification (preferred)
Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.) (preferred)
System-level experience specifically GPU-based systems (preferred)
Experience with Deep Learning at scale (preferred)
Familiarity with parallel programming and distributed computing platforms (preferred)
Willingness to travel occasionally for on-site visits and industry events