- Core
- 16%
- Required
- 22%
- Context
- 62%
- Nice
- <1%
NVIDIA
Interview preparation
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Use the role-specific guide to plan technical practice around the vacancy you choose.
Read the NVIDIA interview guide →About NVIDIA
NVIDIA is an accelerated computing company whose work spans GPUs, AI, high-performance computing, graphics, robotics, autonomous vehicles and data center infrastructure.
People & hiring
Company scale, with the denominator visible
Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.
ApplyDjinn hiring evidence · current 30-day window
Explore these jobs →Current open roles
Change versus 2026-10-28.
Technical open roles
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
Live vacancy evidence
Technology coverage at NVIDIA
Coverage always uses all 775 active roles as the denominator. Scope only changes which requirement signals count.
- Active roles
- 775
- Technologies
- 40
- Hard mentions
- 862
- Core
- 18%
- Required
- 10%
- Context
- 70%
- Nice
- 2%
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- 36%
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- 51%
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- 15%
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- 15%
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- 12%
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- 4%
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- 61%
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- 90%
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- <1%
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- 8%
- Context
- 84%
- Nice
- 7%
- Core
- 4%
- Required
- 20%
- Context
- 73%
- Nice
- 2%
- Core
- 24%
- Required
- 13%
- Context
- 63%
- Nice
- 0%
- Core
- 6%
- Required
- 4%
- Context
- 78%
- Nice
- 12%
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- 84%
- Nice
- 6%
- Core
- 11%
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- 11%
- Context
- 78%
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- Core
- 2%
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- 90%
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- 4%
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- 86%
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- 73%
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- Core
- 4%
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- 2%
- Context
- 91%
- Nice
- 4%
- Core
- 16%
- Required
- 26%
- Context
- 58%
- Nice
- 0%
- Core
- 5%
- Required
- 2%
- Context
- 91%
- Nice
- 2%
- Core
- <1%
- Required
- 5%
- Context
- 90%
- Nice
- 4%
- Core
- 2%
- Required
- 10%
- Context
- 86%
- Nice
- 2%
- Core
- 0%
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- 23%
- Context
- 71%
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- 6%
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- 25%
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- 75%
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- 7%
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- 77%
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- 2%
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- 97%
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- 1%
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- 7%
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- 89%
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- Core
- 1%
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- 2%
- Context
- 95%
- Nice
- 1%
- Core
- 0%
- Required
- 8%
- Context
- 92%
- Nice
- 0%
Curated company stack
Company-level metadata, kept separate from live vacancy requirements.
Perks & Benefits
Company Details
Industry
Semiconductors
Company size
30000+
Headquarters
Santa Clara, California, United States
Founded
1993
Domain
nvidia.com
Rating
The company activity baseline is being collected.
Open roles
775
NVDA share
$215.38
30-day share move
-5.9%
Hiring and market history
Daily vacancy snapshots and closing share prices are independent signals.
Vacancy history
NVDA closing price
Share price is shown for context, not as company-size or investment advice.
775 open positions at NVIDIA
Showing the latest 0 here.
Employee perspectives
Reviews of NVIDIA
Publisher ratings on a shared 5-point scale. The overall score averages the available publishers equally.
Glassdoor
Employee ratings and reviews
DOU
A verified DOU profile is not available for this company yet.
Dated snapshots may differ from the latest source. DOU scores are converted from 100 to 5 by dividing by 20. Survey responses and written reviews are separate counts. Review text stays on the publisher’s site. Glassdoor may require sign-in.
Company monitor
Published about NVIDIA
Official updates and independent stories that name NVIDIA, with dates and source attribution. Each preview opens here first.
Thin, Light and Built for Everything: NVIDIA RTX Spark Windows Laptops Gain New Models, Agent Tools and Games
NVIDIA RTX Spark powers thin and light laptops built for everything that developers, creators and gamers do. RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI. These powerful systems combine an NVIDIA Blackwell RTX GPU and an NVIDIA Grace CPU in a single superchip with up to 128GB of unified memory and up to 1 petaflop of FP4 AI performance. That puts the NVIDIA CUDA platform, RTX graphics and the capabilities of a personal AI supercomputer inside premium Windows laptops built to go anywhere. New and expected RTX Spark updates, coming soon, include: - NVIDIA Nemotron 3.5 Transcribe, an open weight speech model for transcription, speaker attribution and translation is available on RTX Spark.
Open story →Voice AI in vogue: Nvidia releases new open transcription model
Nvidia just released a free speech-to-text model that can transcribe up to 40 languages, but it only works on recordings, not live audio, so it’s a big step for meeting and medical transcription tools while still leaving real-time use to rivals like ElevenLabs.
Open story →How AI Is Changing the Pace of Discovery for Millions Living With Dementia
There are 57 million people worldwide living with dementia today. For the researchers working to help them, the obstacle isn’t a lack of effort — it’s too much data, too few experts to synthesize it and a pace of discovery that can’t keep up with the disease. The Consortium for Biomedical Research and AI in Neurodegeneration (C-BRAIN), working with NVIDIA, is using AI to change that. Alzheimer’s disease is one of today’s leading global health challenges, with over 10 million new dementia cases diagnosed each year. Despite a 7x increase in National Institutes of Health funding in the last 15 years — reaching $3.9 billion annually — no treatment has been found to stop, prevent or reverse the disease yet. The bottlenecks are not enough high impact scientific findings, too much data living in institutional silos and too slow a pace of synthesis to keep up with the research that is published.
Open story →Nvidia backs Indian startup helping companies run AI models with fewer GPUs
Simplismart says its annualized revenue run rate has grown 14-fold in six months, with the U.S. accounting for more than half its revenue.
Open story →Hottest toy for Christmas? Nvidia CEO plays with adorable Microduck robots, 20,000 sell
The robots, stomping their little feet and making tiny R2-D2 noises, sat, fell down dead for a "nap," and summersaulted on voice command.
Open story →Uber rival inDrive eyes 2027 robotaxi tests in Central Asia with Pony.ai and Nvidia
Ride-hailing company inDrive, known for letting passengers and drivers negotiate fares, is working with Chinese autonomous driving firm Pony.ai and Nvidia to begin testing robotaxis in Kazakhstan in 2027. The companies said Friday that they had signed a memorandum of understanding to explore bringing Pony.ai’s robotaxis to inDrive’s platform — a reflection of the growing interest in self-driving technology beyond the U.S. and China. Testing will begin in Kazakhstan’s capital, Astana, in the first half of 2027, inDrive CTO Yuri Misnik told TechCrunch. The tests will initially involve a safety operator, with fully driverless rides as the eventual goal. Under the proposed plan, Pony.ai would provide its Gen-7 robotaxis, which inDrive would offer through its ride-hailing app and operate in Kazakhstan. Nvidia, on the other hand, would supply the AI technology, including its Hyperion platform and Halos safety system.
Open story →Kazakhstan Expands Compute for Its AI Future
Kazakhstan’s AI ecosystem is moving from infrastructure plans to deployment. The shift is visible across the full AI stack — from infrastructure to models to applications. Together, the ecosystem announcements below point to the nation’s increasing supply of accelerated computing — along with its growing demand for what comes next. Building on its first AI factory in Armenia, Firebird is expanding into Kazakhstan, where it has secured a U.S. export license for 45,000 NVIDIA Grace Blackwell GPUs. The first phase is under construction with Kazakhtelecom at Data Center Valley, targeting commercial launch in the third quarter of 2027.
Open story →OpenAI, Anthropic, and Nvidia had record lobbying quarters
It was a busy summer for AI lobbyists. Anthropic, OpenAI, and Nvidia each had their highest-spending lobbying quarter between July and September, federal disclosures show. Nvidia spent the most of the group at $2.2 million, followed by Anthropic’s $2.1 million and OpenAI’s $1.5 million. Compared to other Big Tech companies with long-established presences in Washington, the sums aren’t out of the ordinary. Microsoft, for example, has spent at least $2 million a quarter going back to 2021, and Google regularly spends over $3 million, including this quarter. But it’s a clear signal that the three AI firms recognize how important shaping policy has become. Tech CEOs were already visible fixtures in Washington during this period, with many of them attending a White House lunch with President Donald Trump in late September, which resulted in a “morally binding” AI safety accord that they agreed to. The lobbying disclosures show that even more discussions were happening frequently behind the scenes, during a time just before Trump named his AI czar and task force. With Democrats expected to win back at least some control in Congress after this year’s midterm elections, AI companies may only find it more important to engage with lawmakers who see cracking down on the industry as a winning issue. Anthropic included a detailed list of bills, executive orders, and other topics it lobbied Congress and the White House about in the third quarter. Among them were AI-related provisions in the Kids Online Safety Act (KOSA), export control provisions in the AI Overwatch Act, Trump’s executive order renaming AI “Super Intelligence,” and the Ratepayer Protection Act, which aims to put energy costs for data centers on their developers.
Open story →