NVIDIA
N

NVIDIA

Computer Hardware Development

Apt Insight

They're operating at massive global scale with exceptional employee sentiment and major technical momentum. Headquartered in Santa Clara, California, the public hardware and computing giant develops accelerated computing platforms and artificial intelligence infrastructure. With dozens of offices worldwide and a giant workforce of tens of thousands, they maintain an active hiring pace with thousands of open roles. Employee confidence is reflected in consistently high leadership and culture scores across thousands of reviews.
Is this a good match for you?
Unlock your full match with Apt ProStart with the AI-powered career test to unlock your personal career mentor, full company insights, and a personalized job board designed around your goals.

About

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Founded1993
HeadquartersSanta Clara, US
IndustryComputer Hardware Development
Websitewww.nvidia.com
Employees48.3K
Total Funding$8.1B

Why people join & leave

Why join
High compensation and competitive equityIndustry-leading work in AI and hardwareStrong leadership and vision from executive teamSupportive and collaborative technical culture
Why leave
Intense workloads and risk of burnoutCross-timezone scheduling pressuresUneven management capabilities across teamsLimited non-hardware software engineering focus

Company Pulse

Headcount
-24%past year
Raised
$8.1Btotal

In the News

NVIDIA Announces Financial Results for Second Quarter Fiscal 2027 - Awesome - Lifestylelifestyle.awe.sm · Aug 26, 2026
NVIDIA Posts $96.2B Quarter as Data Center Revenue Hits $89B – Unite.AIunite.ai · Aug 26, 2026
Leading Publishers Bring Blockbuster PC Games and Technology to NVIDIA RTX Spark | NVIDIA Blogblogs.nvidia.com · Aug 25, 2026
CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access | NVIDIA Technical Blogdeveloper.nvidia.com · Aug 25, 2026
NVIDIA Advances Vera Rubin Inference With New LPX and CPX Platforms for Faster AI Performance, Lower Token Costs | NVIDIA Blogblogs.nvidia.com · Aug 24, 2026

Employee Experience

4.6/5
Career Opportunities
4.5
Compensation & Benefits
4.6
Culture & Values
4.6
Diversity & Inclusion
4.5
Senior Management
4.4
Work-Life Balance
4.1

Quick Take

Strengths
High CEO approvalCEO rating stands at 98% alongside a 94% positive business outlook.
Record data center revenueReported $96.2B in quarterly revenue with data center revenue reaching $89.0B in Q2 FY2027.
Strong workplace recognitionConsistently ranked among the top Best Places to Work, including a #4 ranking in 2025.
Watch out
Lower work-life scoreWork-life balance sits at 82%, trailing other internal ratings like culture and compensation at 92%.

Things to consider

Work-life balance strain — Work-life balance is rated at 82%, with some employees noting high pressure, demanding output expectations, and coordination challenges across remote overseas teams.
Performance review opacity — Several reviews highlight that performance reviews and promotion processes can lack transparency across certain departments.

Leadership

JH
Jensen HuangCo-founder, President, and Chief Executive Officer

What They Build

NVIDIA designs accelerated computing hardware, graphics processors, and full-stack software platforms for modern artificial intelligence and data centers. Their engineering work spans chip design, parallel computing architectures, operating systems, and distributed AI training systems. The engineering culture centers on deep technical execution, complex hardware-software co-design, and high-performance computing.
Accelerated Computing
Artificial Intelligence
Data Center Infrastructure
Autonomous Vehicles
Computer Graphics & Gaming
Domains
Hardware Engineering
Systems Software
Machine Learning
Distributed Systems
Embedded Systems
Tech Stack
CUDA
Debian
Ubuntu
Helm
GitLab
Git
Elastic Stack
BitBake
+4