NVIDIA

H1B Visa Sponsor Artificial Intelligence Healthcare Manufacturing

NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.

Company Jobs

Senior AI Infrastructure Solutions Architect

Guide NVIDIA AI infrastructure deployments with OEM and deployment partners, from architecture design through build readiness and execution. Advance platform adoption, validate deployments, resolve technical issues, and share field insights with product and engineering teams.

9 hours ago

United States

California

Texas

$184,000 – $287,500 / year

Remote Full-time Senior English Required Solutions Engineer

Description

Advise customers on complex workloads and align them with NVIDIA technologies.
Design scalable architectures with OEM and deployment partners.
Set technical direction, integration milestones, and deployment plans.
Create, validate, and support solutions that help customers and partners succeed.
Identify gaps between partner needs and NVIDIA offerings.
Share insights that inform product and engineering priorities.
Lead technical engagements and resolve complex issues.
Build technical capability and increase platform adoption.
Help developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
Work with product and engineering teams to support deployments and ongoing improvements.
Lead AI Factory build execution, technical readiness, deployment validation, and issue resolution.

Requirements

Bachelor's or master's degree, or equivalent experience, in computer science, engineering, or a related field.
At least 8 years of professional experience across software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
At least 3–5 years of hands-on experience with AI infrastructure, data center deployment, or large-scale AI/HPC systems.
Deep technical expertise in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large GPU systems.
A track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
Ability to explain complex technical concepts clearly to technical and non-technical audiences.
Strong problem-solving skills, intellectual curiosity, and a commitment to customer success.
Experience with OEM, ODM, system integrator, or deployment partner ecosystems.
Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.
Willingness to travel up to 50%.

Benefits

Equity compensation.
Benefits.

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Senior AI Infrastructure Solutions Architect

Guide NVIDIA AI infrastructure deployments with OEM and deployment partners, from architecture design through build readiness and execution. Advance platform adoption, validate deployments, resolve technical issues, and share field insights with product and engineering teams.

Description

Requirements

Benefits

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