NVIDIA · 4 months ago
Solutions Architect, AI and ML
US, CA, Santa Clara
Full-time
Onsite
Mid Level
$120K/yr - $190K/yr
3+ years expNVIDIA is building the world’s leading AI company, and they are looking for an experienced Cloud Solution Architect to assist customers with the adoption of GPU hardware and software, as well as building and deploying machine learning solutions. The role involves engaging directly with developers and researchers to drive end-to-end technology solutions based on customer business needs.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-11
2026-01-11
Company data provided by crunchbase