
NVIDIA
Designs GPUs and systems for AI, data centres, gaming and graphics, and the CUDA software platform that programs them.
Santa Clara, California, United States
5,000 and up
5,000 or more peopleNot known
Not known
Not enough signal to say. Check the careers page directly.Open internships
How they hire
NVIDIA says most candidates get a decision within weeks of the first interview; candidates report two to four months in practice. Using unapproved tools such as ChatGPT during interviews leads to disqualification.
- 1
Apply
OfficialApplication screenNVIDIA suggests applying to the five roles that best match your background and says you will usually hear within a couple of weeks if selected.
- 2
Recruiter screen
ReportedRecruiter screenRemote - 3
Coding exercise
Official +1Live codingTechnical roles may complete a coding exercise, usually on HackerRank. Candidates report C or C++ problems where core logic is written from scratch.
C/C++Data structures - 4
Interview rounds
OfficialPanel interviewSeveral interviews of 30 to 60 minutes with the hiring manager, team members and others, one to one, in small groups or as a panel, by phone, video or in person.
- 5
In-person onsite
OfficialOn-site testNVIDIA requires an in-person interview at an office before any offer.
What comes up
Recurring themes from candidate accounts, not a question bank. Nobody is served by leaked question lists, least of all you in the interview.
Low-level C and C++
ReportedCandidates report implementing things like caches, hash maps or memory copy routines without leaning on library functions.
Concurrency and GPU work
ReportedMultithreading, parallelism and, on relevant teams, CUDA and GPU resource questions, plus team-specific domain knowledge.
Worth reading before you apply
From the Sefism resource library, matched to the rounds above.
A browsable practice library of coding problems that can be filtered by pattern, data structure, difficulty and company, so you can drill exactly the weakness you found this week. Patterns include two pointers, sliding window, hash maps, stacks, backtracking and greedy algorithms, with company filters for Google, Meta, Microsoft, Amazon, Oracle and LinkedIn. Free to browse, with an in-browser editor and solutions.
- Job search
- DSA
A course built around 75 coding interview questions chosen for coverage across 18 topic areas, from arrays and sliding window to graphs, backtracking, dynamic programming and tries. Each question has a step-by-step algorithm, a walkthrough and complexity analysis, with solutions in six languages. It suits candidates with a few weeks before an interview who need a balanced, finite problem set rather than an endless list.
- Job search
- DSA
A practical course on negotiating compensation in tech, from preparing and building a strategy to specific tactics, the full package beyond base salary, handling multiple offers and asking for a raise. It has tailored sections for fresh graduates and experienced engineers. It suits anyone with an offer coming, and anyone who has ever accepted the first number out of discomfort.
- Career
- Job search
A paid, human review of your resume by experienced engineers and hiring managers from large technology companies, returned in three to five business days with line-by-line suggestions, proposed rewrites of bullet points and applicant tracking system advice. It suits engineers whose resume is already reasonably solid and who want detailed feedback from people who screen engineering resumes for a living before a job search.
- Career
- Job search
A quick-revision companion to the DSA roadmap in nine chapters: complexity, arrays and hashing, linked lists, stacks and queues, recursion, sorting and searching, trees and heaps, graphs, coding patterns, dynamic programming and timed practice habits. Costs are stated for every structure and algorithm, in Python, Java, C++ or JavaScript editions. Use it after each roadmap stage and before a contest or coding round.
- Programming
- DSA
- Web
An eight-stage path from Big-O through arrays, hashing, recursion, trees, graphs, coding patterns and dynamic programming to timed, mixed practice, in Python, Java, C++ or JavaScript. It suits students and developers who can write code but freeze on problems with no obvious library call. By the end you can pick the right data structure, recognise common problem shapes and solve a medium problem in about 35 minutes with edge cases tested.
- Programming
- DSA
- Web
What it pays
Nothing collected for this company yet, and nothing worth guessing at. A made-up range is worse than no range because people negotiate against it.
Universities they recruit from
No sourced university links yet. A campus drive, a career fair appearance or an internship partnership is what puts a university here.
How to actually get seen
Brush up on C or C++ fundamentals and concurrency rather than only high-level algorithm practice. Plan for an in-person onsite, which NVIDIA requires before an offer.
Sources
- NVIDIA websiteread 2026-09-22
- NVIDIA careers pageread 2026-09-22
- NVIDIA: How we hireread 2026-09-22
- Exponent: NVIDIA software engineer interview guideread 2026-09-22
Whole profile last checked 2026-09-22.
Interviewed at NVIDIA? Fill in what changed.
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