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Nvidia Solution Architect Jobs (NOW HIRING)

Solutions Architect, AI and ML

Seattle, WA · On-site

$71.75 - $94.50/hr

NVIDIA is building the world's leading AI company, and they are seeking an experienced Cloud Solution Architect to assist customers with the adoption of GPU hardware and software, as well as building ...

Solutions Architect, AI and ML

Santa Clara, CA · On-site

$74 - $97.50/hr

NVIDIA is building the world's leading AI company, and they are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software. The role ...

Solutions Architect, AI and ML

Santa Clara, CA · On-site

$74 - $97.50/hr

NVIDIA is building the world's leading AI company, and they are seeking an experienced Cloud Solution Architect to assist customers with the adoption of GPU hardware and software, as well as building ...

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

NVIDIA is building the world's leading AI company, and they are seeking an experienced Cloud Solution Architect to assist customers with the adoption of GPU hardware and software, as well as building ...

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as ...

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

NVIDIA is building the world's leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software, as well as ...

As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solutions with some of NVIDIA's most strategic customers with both hardware and software solutions while ...

Solution Architect I

Phoenix, AZ · On-site

$59.75 - $78.75/hr

... NVIDIA GPU resources. This includes maintaining and tuning PowerStore pNFS storage, PowerScale ... The Solution Architect's role is to provide technology leadership for developing, integrating, and ...

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Nvidia Solution Architect information

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How much do nvidia solution architect jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for nvidia solution architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

What is an Nvidia Solution Architect?

An Nvidia Solution Architect is a technical expert who works with clients to design and implement advanced computing solutions using Nvidia's hardware and software products. They help organizations leverage Nvidia technologies, such as GPUs, AI frameworks, and data center solutions, to solve complex business and technical challenges. Solution Architects collaborate with customers, engineering teams, and partners to ensure that solutions are both effective and scalable. Their role involves understanding customer requirements, providing technical guidance, and supporting the deployment of Nvidia-based systems.

How does a Nvidia Solution Architect typically collaborate with clients and internal engineering teams during a project?

A Nvidia Solution Architect acts as a technical bridge between clients and internal product or engineering teams. They engage with clients to understand their business challenges and technical requirements, then work closely with Nvidia's engineering and product experts to design and optimize solutions tailored to those needs. Throughout the project, Solution Architects facilitate clear communication, provide technical guidance, and ensure that solutions are implemented effectively. This collaborative approach helps deliver successful deployments and fosters long-term customer relationships.

What are the key skills and qualifications needed to thrive as an Nvidia Solution Architect, and why are they important?

To thrive as an Nvidia Solution Architect, you need a strong background in computer science or engineering, expertise in GPU architectures, and experience with AI, deep learning, and high-performance computing. Familiarity with Nvidia’s software stack (CUDA, cuDNN, TensorRT), cloud platforms, and relevant industry certifications such as Certified Solutions Architect are typically required. Excellent problem-solving, communication, and client-facing skills help build relationships and translate technical concepts to stakeholders. These skills ensure successful implementation of Nvidia solutions tailored to client needs and drive technological innovation.
Infographic showing various Nvidia Solution Architect job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 1% Part Time, 1% Temporary, and 9% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $145,963 per year, or $70.2 per hour.
Solutions Architect, AI and ML

Solutions Architect, AI and ML

NVIDIA

Seattle, WA • On-site

$71.75 - $94.50/hr

Full-time

Posted 3 days ago


Job description

Job Summary:
NVIDIA is building the world’s leading AI company, and they are seeking 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 on cloud computing platforms. The role involves working directly with developers, researchers, and data scientists to drive end-to-end technology solutions based on business needs.
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
Qualifications:
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
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993