NVIDIA AI jobs are mostly senior engineering and sales roles. On 9 November 2026, NVIDIA’s own careers board listed 2,806 postings, and 523 had AI, machine learning, deep learning, LLM or agentic in the title: 256 in engineering, 120 in sales and 69 internships. 290 of the 523 were based in the United States, and none was data labelling work.
Listen to this article, about 15 minutes. A synthetic voice reads the article and announces each section title as it begins; tables are read row by row and the questions at the end are left out.
Recorded 9 November 2026 from the article as published that day. Press a chapter to jump there; the highlighted line is what is playing. A play button sits beside every section heading, and once you scroll past this player a bar at the bottom of the screen keeps the controls in reach. Tap or click any sentence to hear the reading start from there.
On this page: every posting on NVIDIA’s own Workday board counted by team on 9 November 2026, with the 523 AI titled ones split by job family and country, aggregator counts set beside them, pay exactly as four postings print it, and what applicants report about the wait.
Think you already know this? Five questions, one minute.
Every answer is on this page. Answer from what you know now; the page fills in the rest.
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1. Why do some trackers report exactly 2,000 NVIDIA openings?
The total on NVIDIA’s careers site stops at 2,000; counted team by team on 9 November 2026 there were 2,806 postings. Read the section
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2. Which NVIDIA job category held the second most AI titled postings on 9 November 2026?
Sales had 120, behind engineering’s 256, on NVIDIA’s own board; research had 20. Read the section
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3. How many postings matched a plain search for AI in NVIDIA’s own search box?
The search box matched 2,426 of 2,806 postings because most descriptions mention AI, on NVIDIA’s board on 9 November 2026. Read the section
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4. What hourly range did NVIDIA’s agentic systems internship posting list?
The Research and Engineering Intern posting, JR2028260, on NVIDIA’s careers site, listed $20 to $94 an hour, as read on 9 November 2026. Read the section
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5. Which email domains does NVIDIA say its real recruiters use?
NVIDIA’s recruitment scams page says communications come from an @nvidia.com or @career.nvidia.com address. Read the section
How many AI jobs does NVIDIA’s own board list today?
Most pages that rank for this search quote one number and never say where it came from. So we went to the source. NVIDIA posts its jobs on a Workday board at NVIDIA’s careers site, and on 9 November 2026 we read every posting on it by script, team by team. The board’s own total stops at 2,000, which is why some trackers report exactly that figure. Counted by team, the real number was 2,806 open postings.
Then we needed a rule for what counts as an AI job, because NVIDIA’s search box is generous. A search for AI on the board matched 2,426 of the 2,806 postings, since almost every NVIDIA job description mentions AI somewhere. That is a bit like searching a bakery for jobs that involve bread. Our rule is narrower and you can repeat it: a posting counts when its title contains AI, artificial intelligence, ML, machine learning, deep learning, LLM, generative, GenAI or agentic. By that rule, 523 postings were AI jobs.
For scale, NVIDIA’s annual report for fiscal 2026 says it had approximately 42,000 employees in 38 countries at the end of that year, 31,000 of them in research and development. A board with 2,806 openings is a company still hiring hard, but almost entirely for people who already build or sell computing systems. A smaller AI chip maker shows the same tilt at a different scale: SambaNova’s own board held 75 roles on 15 November 2026, almost all of them in San Jose and Austin, as our count of SambaNova careers by office and team shows.
Which NVIDIA teams are hiring for AI roles?
Engineering dominates, as you would expect from a chip company, but the sales count surprises people. Here is how the 523 AI titled postings split across NVIDIA’s own job categories on 9 November 2026, next to each category’s full size.
| NVIDIA job category | AI titled postings | All postings in category | Example AI title |
|---|---|---|---|
| Engineering | 256 | 1,777 | Senior AI Infrastructure Engineer |
| Sales | 120 | 328 | Field Technologist, Enterprise AI Factory |
| University (interns and graduates) | 69 | 219 | AI Developer Technology Engineering Intern, 2027 |
| Marketing | 26 | 96 | Senior Product Marketing Manager, AI Infrastructure |
| Research | 20 | 42 | AI Research Scientist |
| Information technology | 12 | 47 | Senior Salesforce AI Developer |
| Program management | 10 | 109 | Senior Technical Program Manager, LLM Safety |
| Professional services, finance, business development, legal | 10 | 64 | Legal Counsel, AI Governance |
By primary location, 290 of the 523 were in the United States, 84 in China, 46 in Israel and 23 in India. Only 51 carried a remote location. Seniority is the other pattern: 254 titles said senior, staff or lead, 80 said manager and 27 said principal, director or above, against 69 internships and 13 new graduate roles. One quirk worth knowing: 1,281 of all 2,806 postings showed the same Posted 9 Days Ago stamp, which looks like a bulk refresh of older listings rather than 1,281 new jobs in one day. NVIDIA does not say why, so read posting ages on its board with care.
If you are not sure which of these families fits your background, the AI jobs match quiz gives you a shortlist in about a minute.
Why do job sites show different NVIDIA AI job counts?
Because nobody is counting the same thing. On 9 November 2026, the search result pages showed Glassdoor at 227 NVIDIA AI jobs in the United States, Indeed at 149, and inferencejobs.com at 710 open NVIDIA positions of every kind. NVIDIA’s board itself showed 290 AI titled postings based in the United States and 2,806 postings in total.
| Source | What it counted | Figure seen on 9 November 2026 |
|---|---|---|
| NVIDIA’s Workday board, our title rule | AI titled postings, all countries | 523 |
| NVIDIA’s Workday board, our title rule | AI titled postings, United States | 290 |
| NVIDIA’s Workday board, search box | Postings matching the word AI anywhere | 2,426 |
| Glassdoor search page | Nvidia ai jobs, United States | 227 |
| Indeed search page | Nvidia ai jobs | 149 |
| inferencejobs.com | All NVIDIA positions it lists | 710 |
Each aggregator scrapes on its own schedule, matches on its own keywords and drops or keeps duplicates its own way. None of them is wrong, exactly. They are just answering different questions, which is why the only count worth planning around is the one on NVIDIA’s board, read on the day.
What pay do NVIDIA AI postings list?
NVIDIA prints a pay range on its United States postings, and it is the most useful thing on the page because it is the company’s own wording. These are four AI postings we read on 9 November 2026, with pay exactly as listed. A listed range is not an offer: NVIDIA’s postings say base pay depends on location, experience and other job related factors, rates change, and nothing here is a promise of a job or of pay.
| Posting (Santa Clara) | Posted | Pay as listed on 9 November 2026 | What it asks for |
|---|---|---|---|
| Research and Engineering Intern, Agentic Systems Intelligence, Summer 2027 | 5 November 2026 | $20 to $94 an hour | Pursuing a master’s or PhD in computer science, electrical engineering or similar |
| Deep Learning Performance Architect, New College Grad 2027 | 30 October 2026 | $124,000 to $195,500 a year at Level 2; $152,000 to $241,500 at Level 3 | BS, MS or PhD in a computing field or equivalent experience, C++ and Python |
| Senior Solutions Architect, AI Hyperscalers | 3 November 2026 | $184,000 to $287,500 a year at Level 4; $224,000 to $356,500 at Level 5 | BS or MS or equivalent, 8 or more years of engineering experience |
| Senior AI Engineer, AI Safety | 6 November 2026 | $184,000 to $287,500 a year at Level 4; $224,000 to $356,500 at Level 5 | Degree or equivalent experience, 8 or more years in ML or software engineering |
The getAIwork work board carried four NVIDIA listings among its 1,952 live listings on 9 November 2026, all picked up from Himalayas and all marked intermediate or advanced by our screening. Two printed pay: a Senior Solutions Architect, Physical AI Cloud listed at USD 152,000 to 287,500 a year, and a Senior Datacenter Technical Program Manager for AI clusters listed at USD 168,000 to 322,000. Our board quotes pay only as the posting states it, so those figures are as listed by the source, not our estimate.
Can you get an NVIDIA AI job without a technical degree?
Almost never, going by NVIDIA’s own postings. Every engineering, research and intern posting we read asked for a computing degree, a degree in progress, or equivalent experience that amounts to the same thing. The sales and marketing roles are less strict on paper, but the senior ones ask for years of selling data centre or cloud technology, which is a technical background by another name.
What NVIDIA’s board does not have is the entry level AI work this site mostly covers. We found no data labelling, annotation or rating roles among the 2,806 postings. That work exists, but it sits on training platforms and their contractors, not on NVIDIA’s payroll. On 9 November 2026, the getAIwork board’s stats.json counted 750 AI data work listings and 298 marked beginner, out of 1,952 live. Our explainer on RLHF jobs and who hires for them shows what that work involves, and if you came here for NVIDIA’s training courses rather than its jobs, the guide to NVIDIA’s AI certification exams covers what they test. A certificate is not a job offer, whatever the course banner says.
What do people who applied to NVIDIA report?
We read three Reddit threads from May to November 2026 about applying to NVIDIA, carrying about a dozen accounts from applicants, almost all for senior engineering roles. These are what people report, not NVIDIA policy, and none of it can be checked against the company.
In an October 2026 r/FAANGrecruiting thread, a senior software engineer in Europe described six interview rounds covering C++, algorithms, GPUs and CUDA, then eight weeks of silence; another reply described the same silence after three rounds. In an August 2026 thread, an applicant for an autonomous driving role in Germany said the candidate portal still read In progress four months after eight rounds. One commenter there said a rejection came two and a half months after their last interview, and that friends waited between one and four months.
A May 2026 r/interviews thread opened with a poster saying experienced colleagues had applied to 15 or more NVIDIA jobs without a single screen. Replies ran both ways. One person described eight interviews with positive feedback and then an automated rejection a month later. Another said four applications failed and the one sent with a referral got through. Against the pattern, an August 2026 reply said an interview invitation came within a week with no referral, and next steps arrived within days.
Where the accounts agree with NVIDIA’s postings is the bar: long, role specific loops for experienced people. Where they add something the postings never say is the waiting. If you are applying, plan for weeks of silence and keep other applications moving.
How do you spot a fake NVIDIA recruiter?
NVIDIA’s recruitment scams page is short and specific. It warns of people falsely claiming to represent its recruitment team who may offer fake jobs, request up front fees or claim to be a third party hiring supplier, over email, text, social media and messaging apps. It says real communications come from an @nvidia.com or @career.nvidia.com address, and that open jobs are posted on its careers site, or on LinkedIn with a reference back to the original posting.
So the Telegram recruiter offering you an NVIDIA AI trainer role for a small registration fee has made three mistakes in one sentence. The test is simple: if the job is not on NVIDIA’s own board, or the message does not come from those two domains, treat it as fake. NVIDIA’s page asks people who think they were targeted to report it to local police and to the Federal Trade Commission.
For how another big company’s AI hiring compares, our count of Meta’s AI postings after its cuts uses the same method, and the guide to AI solutions architect roles covers the job family NVIDIA’s sales side hires most. If NVIDIA’s bar is higher than your experience today, the match quiz for AI jobs that need no experience points to work you can apply for now, and the free getAIwork board lists screened roles with no signup.
Frequently asked questions
Does NVIDIA hire remote AI workers?
A few. Of the 523 AI titled postings on NVIDIA’s board on 9 November 2026, 51 carried a remote location, 24 of them in the United States. Most AI roles named an office such as Santa Clara.
Does NVIDIA hire AI interns?
Yes. On 9 November 2026 its board listed 69 AI titled internships, most for 2027. The Santa Clara agentic systems internship we read listed $20 to $94 an hour and asked for a master’s or PhD in progress.
Does NVIDIA hire in India?
Yes. On 9 November 2026 NVIDIA’s board listed 247 postings with a primary location in India, 23 of them AI titled under our rule, mostly in Bengaluru and Hyderabad.
Does NVIDIA charge a fee to apply?
No. NVIDIA’s recruitment scams page warns that requests for up front fees are a sign of fraud and says it runs its own hiring through its careers site.
Does NVIDIA hire data annotators or AI trainers?
Not on its own board. We found no labelling, annotation or rating roles among its 2,806 postings on 9 November 2026. That work is listed by training platforms and their contractors.
How long does NVIDIA take to respond to an application?
NVIDIA does not publish a timeline. Applicants on Reddit in 2026 reported waits from under a week to four months, and several described silence after final interviews. These are reports, not company policy.
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Platform statuses and listed pay change without notice. Pay figures are quoted only as listed by the poster on the date shown and are never a promise of earnings. This page was verified on the date shown and is rechecked on the weekly refresh.
