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60 Nvidia Customer Service Jobs Hiring Near You

NVIDIA

Solutions Architect, AI and ML

Seattle, WA · On-site

$71.75 - $94.50/hr

... on customer 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 ...

Nvidia

Senior Product Manager - Cloud

New York, NY · On-site

$138K - $182K/yr

... NVIDIA's platform ambitions and customer needs. * Engage with the Product Team, domestic and international partners, and customers to gather requirements for additional cloud services (e.g., asset ...

Nvidia

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

... NVIDIA's full set of technologies based on business needs of customers. Join us in this exciting endeavor! What you will be doing: * Working with Cloud Service Providers to develop and demonstrate ...

Nvidia

Coordinate across internal teams (Cloud Service Providers, NVIDIA Cloud Partners, NVIDIA Inception ... Develop solution positioning, customer collateral, tech demos, reference architectures, and other ...

Nvidia

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

... NVIDIA's full set of technologies based on business needs of customers. Join us in this exciting endeavor! What you will be doing: * Working with Cloud Service Providers to develop and demonstrate ...

NVIDIA

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

... to assist customers with the adoption of GPU hardware and software, as well as building and ... Cloud Service Providers to develop and demonstrate solutions based on NVIDIA's ML/DL and data ...

Nvidia

$126K - $167K/yr

... NVIDIA's platform ambitions and customer needs. * Engage with the Product Team, domestic and international partners, and customers to gather requirements for additional cloud services (e.g., asset ...

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Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
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    Infographic showing various Customer Service job openings at Nvidia in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, 13% Hybrid, and 2% Remote job distribution.
    Solutions Architect, AI and ML

    Solutions Architect, AI and ML

    NVIDIA

    Seattle, WA • On-site

    $71.75 - $94.50/hr

    Full-time

    Posted 21 days ago

    Job description

    Job Summary:
    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 involves working with Cloud Service Providers to develop and demonstrate solutions, building and deploying AI/ML solutions, and driving end-to-end technology solutions based on customer 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

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