NVIDIA

• July 18, 2026Nvidia and 4 Japan Robot Makers Bet on Physical AI to Fix a Labor Shortage in 2026
• June 29, 202620+ Nvidia Interview Questions and How to Answer Them in 2026
• June 3, 2026Why Jensen Huang Personally Reviews All 42,000 Nvidia Salaries in 2026
• June 2, 2026Why Nvidia's CEO Says Workers Should Be Paid As Much As Possible
• May 19, 2026Nvidia's Rubin AI Platform Will Out-Eat Apple + Samsung Combined in 2026
• May 5, 2026Nvidia CEO Pushes Back: Why Jensen Huang Says AI Is a Job Engine, Not a Job Killer
• April 22, 2026Nvidia CEO Jensen Huang: You Won't Lose Your Job to AI — You'll Lose It to Someone Using AI
• March 24, 2026Nvidia CEO Says AGI Is Here — What 140 Million American Workers Should Know

“NVIDIA DGX Spark’s unified memory architecture is a revolutionary improvement—removing a fundamental compute bottleneck at the hardware layer from geospatial processing pipelines. Further bundling CYRAN’s indigenized SpatialFuse platform with Spark unleashes new optimized full-stack solutions for end-to-end GeoAI processing, all the way from orbit to ground stations.”

“Alchemy, along with Cosmos, allows us to stand up production weed control and field analytics models so quickly that we can now deploy in the same season we see a crop. Normally that takes three to four years of collecting data, labeling it, and training models. The labels come with the data by construction rather than from a manual annotator, so we're no longer beholden to seasonality, model turnaround is hours instead of seasons, and efficient models now deploy straight to NVIDIA Jetson Orin NX on our solar-powered Element robots.”

“Aigen is the only company doing fully-autonomous, solar-powered mechanical weed control, and every watt of compute counts. Switching to NVIDIA took us down from five SoCs to three and gave each robot more capability. That’s what lets our four-arm robot run full edge AI on solar, navigate without GPS, and keep compute margin for capabilities beyond weed control.”

“Cosmos 3’s pretrained priors and extensible architecture provide an excellent foundation for building a custom world model. This helped accelerate Alchemy’s development, which unlocks new capabilities in outdoor unstructured autonomy.”

• LaunchDLSS 3NVIDIA introduced DLSS 3, a breakthrough in AI-powered graphics.
• LaunchNVIDIA RTXNVIDIA RTX taps into AI and ray tracing to deliver a new level of realism in graphics.
• LaunchAI servicesNVIDIA builds new AI services that help companies create their own AI factories.
• ResearchAI and digital twinsNVIDIA's work in AI and digital twins is transforming industries and impacting society.

Headquarters

Santa Clara, US

Employees

10,001+

Founded

1993

Industry

Artificial Intelligence

Sector (NAICS)

Manufacturing

Peer

Scale AI

Website

nvidia.com

Careers

nvidia.com/en-us/about-nvidia/careers

Social

LinkedIn · X · YouTube · Instagram · Facebook

Sources: Employees from Wikidata

• Santa Clara141 open roles
• California, United States132 open roles
• United States100 open roles
• Austin57 open roles
• Yoqneam Illit34 open roles
• Tel Aviv32 open roles

• Scale AI159 open roles
• Visium118 open roles
• Mercor112 open roles
• ImagineArt28 open roles
• Astrafy6 open roles
• Artificialy5 open roles

Is NVIDIA hiring?

Yes. As of October 10, 2026, NVIDIA has 5,694 open roles on Metaintro. 3,202 were posted in the last 30 days. The most are in Science, Technology, Engineering, and Math (185), Developer (140), and DevOps (21).

Where is NVIDIA hiring?

NVIDIA is hiring in Santa Clara, California, United States, United States, Austin, Yoqneam Illit, and Tel Aviv, with the most open roles in Santa Clara.

Does NVIDIA offer remote or hybrid work?

13% of open roles are hybrid and 3% are remote.

Who are NVIDIA's customers?

NVIDIA names 6 customers, including Agility Robotics, Recursion, CYRAN AI Solutions, Aigen, and Widelabs AI.

What skills does NVIDIA look for?

Its open roles most often ask for Python, C++, C/C++, CUDA, and Linux.