NVIDIA
Technology / SemiconductorsFounded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, NVIDIA designs graphics processing units (GPUs) and system-on-chip processors. Its GPUs have become the dominant hardware platform for AI training and inference.
Official NVIDIA Careers Website
Quick Facts
- Founded
- 1993
- Founders
- Jensen Huang, Malachowsky & Priem
- Headquarters
- Santa Clara, California
- Industry
- Semiconductors & AI
About NVIDIA
NVIDIA was founded in 1993 in Santa Clara, California. The company originally focused on graphics chips for gaming, releasing the world's first GPU — the GeForce 256 — in 1999. In 2006, NVIDIA introduced CUDA, a parallel computing platform that opened its GPUs to general-purpose computing beyond graphics.
CUDA became foundational to the AI research community, as training large neural networks required the parallel processing power that NVIDIA GPUs provided. The A100 and H100 data center GPUs subsequently established NVIDIA as the dominant supplier of AI computing infrastructure.
What NVIDIA Does
Data Center
AI and high-performance computing GPUs (A100, H100, Blackwell) and networking products for hyperscale data centers.
Gaming
GeForce GPUs for PC gaming, and gaming-related software platforms.
Professional Visualization
RTX professional GPUs for 3D design, scientific simulation, and virtual workstations.
Automotive
NVIDIA DRIVE platform for autonomous vehicle development and in-vehicle AI.
Career Areas
Types of professional roles found inside NVIDIA.
- Hardware Engineering
- Software Engineering
- AI & Deep Learning Research
- Data Center Solutions
- VLSI & Chip Design
- Product Management
- Sales & Marketing
- Finance
NVIDIA's History
- 1993Founded in Santa Clara
NVIDIA founded by Jensen Huang, Chris Malachowsky, and Curtis Priem.
- 1999World's first GPU
GeForce 256 released, described as the world's first graphics processing unit.
- 2006CUDA launched
CUDA parallel computing platform released, opening NVIDIA GPUs to general-purpose computing.
- 2020Mellanox acquired
NVIDIA acquires Mellanox Technologies, expanding into high-speed networking for data centers.
- 2022H100 GPU released
H100 Hopper GPU released, becoming the primary hardware for large-scale AI model training.
Purpose & Values
“To solve the world's most important challenges with accelerated computing”
