Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials
Overview
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.
News
Report
Salvation Army hosts thrift pop-up store Saturday in Grand Rapids
The one-day event at 1491 Division Ave. S. runs from 9 a.m. to 7 p.m., featuring vintage clothing and unique finds with proceeds supporting the Adult Rehabilitation Center's recovery programs.
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NVIDIA Corporation (NVDA) & Advanced Micro Devices (AMD): Nvidia Might Ship AI Chips With Less Memory. AMD Says It's Not Worried
NVIDIA Corporation (NASDAQ:NVDA) is weighing a step that would have seemed unthinkable a year ago: shipping its next-generation Rubin Ultra GPU with less memory than originally promised.
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Technologies
Tech DNA
Python
C++
Perl
PyTorch
CUDA
UVM
PostgreSQL
ElasticSearch
MySQL
AWS
Azure
GCP
LLM
Claude
VLM
AI/ML
Python
C++
SQL
MATLAB
Scala
Cython
Kubernetes
HPC
AI Agents
CUDA Toolkit
CI/CD
LLM
PyTorch
CUDA
InfiniBand
Docker
PyTorch C++
SLURM
Ansible
NVLink
NCCL
AWS
Jenkins
TensorRT
Git
vLLM
Azure
TensorFlow
RAG
Triton
GCP
Grafana
GitHub
Multimodal AI
NVIDIA NeMo
GitLab
Fine-tuning
Quantization
Platform Engineering
Prometheus
Terraform
Computer Vision
SGLang
JAX
Claude
TensorFlow C++
GitOps
Cursor
LLVM
TensorRT-LLM
Model Context Protocol
Post-training
Edge AI
Puppet
Synthetic Data
Function Calling
ArgoCD
Helm
Gerrit
RTOS
Configuration Management
Reinforcement Learning
Transformers
OpenCL
LangChain
KVM
LLM Guardrails
Ubuntu
OpenTelemetry
RAPIDS
Claude Code
Megatron-LM
OpenGL
SLI/SLO/SLA
Chef
OpenStack
Red Hat
VLM
Spark
Knowledge Distillation
Diffusion Models
Speech Recognition
OpenAI
Incident Management
CentOS Stream
GitLab CI
VMWare
llama.cpp
LocalAI
OpenMP
Mixture of Experts
DirectX
Vector
QEMU
eBPF
Hyper-V
Ray
CrewAI
LangGraph
RLHF
Triton Inference Server
OpenAI Codex
cuDNN
Pre-training
Human-in-the-Loop
PostgreSQL
ElasticSearch
containerd
Datadog
Splunk
OpenShift
SRE
Debian
Amazon S3
Copilot
NeMo Guardrails
Semantic Kernel
Llama
Ollama
NVIDIA NIM
Perplexity
FSDP
Recommender Systems
Hugging Face
LLM Evaluation
Text-to-Speech
MySQL
STL
TBB
FluxCD
Kibana
GitHub Actions
Fedora
CRI-O
Jaeger
FinOps
IAM
ONNX
Anomaly Detection
LlamaIndex
LoRA
PEFT
cuDF
NLP
NumPy
Prompt Engineering
AutoGen
Data Augmentation
DeepSpeed
Pandas
SFT
DPO
PPO
Scale AI
OpenAI Agents SDK
Weights & Biases
Red Teaming
InfluxDB
MS SQL
Amazon EKS
Progressive Delivery
Service Mesh
Self-Healing
Alertmanager
Loki
Bazel
Envoy
Podman
Gateway API
KubeVirt
Argo Workflows
Akamai
Cloudflare
Fastly
Cilium
HAProxy
Istio
Nginx
Chaos Engineering
Vagrant
Buildkite
Blue-Green Deployment
SaltStack
Amazon CloudWatch
Amazon ECS
AWS Step Functions
API Gateway
Scikit-learn
GNN
Together AI
Ignite
Keras
Time Series Forecasting
SciPy
Vision Transformer
ChatGPT
Image Segmentation
OpenCV
BERT
QLoRA
DeepSpeed-Chat
Diffusers
MLFlow
PyG
Kubeflow
Gaussian Splatting
NER
Hallucination
Accelerate
Google ADK
A2A
GRPO
Structured Outputs
ROCm
TPU
Context Engineering
DynamoDB
SQLite
ClickHouse
Redis
Databricks
Google BigQuery
Presto
Qdrant
Oracle
Amazon Aurora
Qt
Simulink
CMake
Dask
Pydantic
PyQt
PyBind11
Amazon EC2
AWS Fargate
Azure AKS
Google GKE
Kustomize
Pipeline as Code
Pulumi
AIOps
PagerDuty
VictoriaMetrics
Xen
Tekton
kubectl
WebRTC
Shift-Left
AWS Lambda
WebSockets
Zabbix
AWS CDK
CloudFormation
AppDynamics
Amazon Kinesis
cuML
AgentOps
Replicate
XGBoost
Hadoop
Stable Diffusion
Whisper
MLC LLM
Flash Attention
DeepSeek
LLMOps
Amazon SageMaker
Lovable
NATS
MinIO
RocksDB
Amazon Redshift
Delta Lake
Cassandra
Milvus
OpenSearch
Backend
Java
C#
Node JS
PHP
Groovy
gRPC
Rest API
Apache Kafka
Flask
FastAPI
Django
Maven
.NET
Spring Boot
Ruby on Rails
GraphQL
Security
Perl
Go
Bash
JavaScript
Ruby
PowerShell
Threat Modeling
HashiCorp Vault
SOC 2
Crowdstrike
Wireshark
Zero Trust
Calico
Vault
CVSS
ISO 27001
Qualys Cloud Platform
Tanium
SBOM
MITRE ATT&CK
Kyverno
Microsoft Sentinel
GDPR
HIPAA
Defense in Depth
FortiGate
Tcpdump
Microsoft Entra ID
Shift-Left Security
Scapy
Least Privilege
Hardware
Verilog
SystemVerilog
Rust
C
Ada
Assembly
SystemC
Nim
VHDL
Embedded C
UVM
MPI
Formal Verification
Synopsys Verdi
Pthreads
PoC Library
Ansys SIwave
Cadence Sigrity
Ansys HFSS
Synopsys PrimeTime
Synopsys HSPICE
FreeRTOS
GCC
Cadence Xcelium
Synopsys VC Formal
Synopsys VCS
Cadence Palladium
Siemens Veloce
Cadence Virtuoso
Synopsys PrimeSim
Ansys RedHawk
Cadence Innovus
Cadence Spectre X
Cadence Voltus
Cadence Spectre
Ansys Totem
Synopsys SpyGlass
Valgrind
WinDbg
SDL
FFmpeg
Cadence JasperGold
OrCAD
Cadence Allegro
Cadence Quantus
Synopsys FineSim
Synopsys Design Compiler
Synopsys ZeBu
Synopsys PrimePower
Synopsys HAPS
Xilinx Vivado
Synopsys Fusion Compiler
Quantum
OpenQASM
NVIDIA cuQuantum
Cirq
PennyLane
Qiskit
Qiskit Aer
Stim
Data Science
Fortran
ETL/ELT
Tableau
Power BI
Matplotlib
A/B Testing
Frontend
TypeScript
React.js
SolidWorks
Next.js
Angular
Vue.js
Figma
Bootstrap
JQuery
Robotics
Digital Twin
Isaac Sim
NVIDIA Drive
Reinforcement Learning
ROS
Isaac Lab
Sensor Fusion
Sim-to-Real
Motion Planning
Mapping
GStreamer
Imitation Learning
Isaac Gym
SLAM
Gazebo
MuJoCo
Teleoperation
ROS2
NVIDIA Omniverse
Localization
Other
Jira
Pytest
Slack
Confluence
DLSS SDK
NVIDIA PhysX
Unity
Unreal Engine
Robot Framework
Realm
Microsoft Project
Linear
Smartsheet
Wrike
n8n
ServiceNow
Playwright
Vitest
Tokenomics
Salesforce
Stack modernity
76/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
238 jobs
Required
$270k
+50% vs market
C++
155 jobs
Required
$250k
+25% vs market
Kubernetes
93 jobs
Required
$288k
+61% vs market
HPC
86 jobs
Required
$288k
+25% vs market
AI Agents
75 jobs
Required
$288k
+30% vs market
CUDA Toolkit
74 jobs
Required
$288k
+9% vs market
CI/CD
72 jobs
Required
$288k
+80% vs market
PyTorch
62 jobs
Required
$288k
+28% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
21%
JavaScript
17%
CI/CD
17%
SQL
16%
AWS
16%
TypeScript
14%
Share of companies in the same industry that use each technology.
Stack changes
Context Engineering
Aug 2026
Red Teaming
Aug 2026
TPU
Aug 2026
ROCm
Aug 2026
API Gateway
Aug 2026
Structured Outputs
Aug 2026
AWS Step Functions
Aug 2026
Amazon ECS
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Jobgether
Booz Allen Hamilton
Weekday
Bosch
Qualcomm
Accenture
Salary insights
Compensation ranges based on this company's open jobs
Median
$276k
Typical range
$115k – $518k
Open positions
260
247
Jobs
Junior
5.3%
Middle
3.2%
Senior
66%
Staff
7.3%
Principal
5.3%
Architect
13%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 13 | $196k | $115k – $357k |
| Middle | 8 | $256k | $196k – $357k |
| Senior | 163 | $276k | $136k – $518k |
| Staff | 18 | $279k | $150k – $489k |
| Principal | 13 | $431k | $242k – $489k |
| Architect | 32 | $288k | $167k – $489k |
Highest paying role
Senior Director, Enterprise Software Engineering and AI Platforms
$518k
Normalized to USD per year
Products
NVIDIA DRIVE
DRIVE is NVIDIA's end-to-end platform for autonomous vehicles, combining in-car computers with perception, planning and simulation software. Automakers use it to develop and validate assisted and self-driving systems.
nvidia.com
NVIDIA Omniverse
Omniverse is a platform for building and operating industrial digital twins and 3D simulation pipelines. It connects design tools through the OpenUSD format so distributed teams can collaborate on the same virtual scene.
nvidia.com
NVIDIA DGX
DGX is a family of turnkey AI supercomputers that package multiple data centre GPUs with high-speed interconnect and a curated software stack. Research labs and enterprises use them to train and serve large models without assembling their own clusters.
nvidia.com
CUDA
CUDA is NVIDIA's parallel computing platform and programming model for running general-purpose workloads on GPUs. Its libraries and compilers underpin most modern deep learning frameworks and scientific computing stacks.
nvidia.com
GeForce RTX
GeForce RTX is NVIDIA's consumer graphics card line for gaming and creative workloads. It combines ray tracing cores with tensor cores that drive DLSS upscaling and on-device AI features.
nvidia.com
People
Jay Puri
Executive Vice President, Worldwide Field Operations
Jay Puri runs NVIDIA's global sales, business development and field engineering organisation. He joined the company in 2005 after a career at Sun Microsystems and Hewlett-Packard.
Colette Kress
Executive Vice President & Chief Financial Officer
Colette Kress leads NVIDIA's finance organisation, investor relations and capital allocation. She joined in 2013 after senior finance roles at Cisco and Microsoft.
Curtis Priem
Co-Founder & former Chief Technical Officer
Curtis Priem co-founded NVIDIA and served as its first chief technical officer, designing the architecture of its earliest graphics chips. He retired from the company in 2003.
Chris Malachowsky
Co-Founder & NVIDIA Fellow
Chris Malachowsky co-founded NVIDIA and shaped its early hardware engineering and operations. He remains with the company as a fellow and senior technology executive.
Jensen Huang
Co-Founder, President & Chief Executive Officer
Jensen Huang co-founded NVIDIA in 1993 and has led it as chief executive ever since, steering the company from PC graphics into accelerated computing and artificial intelligence. He previously worked as a microprocessor designer at LSI Logic and AMD.
Growth
Hiring Momentum
81/100
Scaling fast
Open positions
427
63 opened / 61 closed in 30 days
Median time-to-fill
3 days
faster than 89% of the market
ATS activity
Every ~2 hours
08/25/2026
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
21%
Hardware
21% ▲
AI/ML
16%
DevOps
13%
Product
12%
QA
5%
Actively hiring for Backend (+124 in 30 days)
Activity Timeline
New location: Champaign
Aug 2026
New location: Sweden
Aug 2026
New location: Finland
Aug 2026
New location: Denmark
Aug 2026
Added Google ADK to stack
Aug 2026
Added Stim to stack
Aug 2026
Added Qiskit Aer to stack
Aug 2026
Added Amazon Aurora to stack
Aug 2026
+10 jobs in a week
Aug 2026
New location: Redmond
Aug 2026
New location: Courbevoie
Aug 2026
New location: Durham
Aug 2026
Jobs
In office • Full-Time • 8+ years exp • Bachelor's Degree • Pune
Platform Engineering
SRE
Apply
In office • Full-Time • 3+ years exp • Master's Degree • Shanghai • Shenzhen
C++
C
TBB
C
MPI
Pthreads
AI/ML
CUDA
CUDA Toolkit
cuDF
OpenMP
RAPIDS
Apply
ASIC Verification Engineer - GPU
5 days ago$136k – $219k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Santa Clara • Durham
C++
SystemVerilog
Verilog
Synopsys Verdi
UVM
Apply
In office • Full-Time • 8+ years exp • Bachelor's Degree • Tel Aviv
SystemVerilog
Verilog
UVM
Apply
Senior Chip Architect
5 days agoIn office • Full-Time • 5+ years exp • Bachelor's Degree • Yokneam • Tel Aviv
Verilog
VHDL
ChatGPT
Apply
$136k – $219k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Santa Clara • Westford • Austin • Durham
Perl
Python
SystemVerilog
Verilog
Cadence Xcelium
Synopsys Verdi
UVM
Apply
Senior Mask Design Engineer – Hardware
5 days ago$136k – $213k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Santa Clara
Perl
Python
Apply
Senior HPC Performance Engineer
5 days ago≈ $98k – $252k per year (Estimated) • Remote • Full-Time • 8+ years exp • Bachelor's Degree • Switzerland
Assembly
C++
Fortran
C
MPI
AI/ML
CUDA
CUDA Toolkit
OpenMP
DevOps
HPC
Apply
HPC Performance Engineer
5 days agoRemote • Full-Time • 5+ years exp • Bachelor's Degree • United Kingdom • Switzerland • Germany • France
Assembly
C++
Fortran
C
MPI
AI/ML
CUDA
CUDA Toolkit
OpenMP
Apply
HPC Engineer
5 days agoIn office • Full-Time • Bachelor's Degree • Singapore
C
MPI
DevOps
Ansible
Puppet
SLURM
Apply
Senior Mask Design Engineer – Hardware
5 days agoIn office • Full-Time • 5+ years exp • Bachelor's Degree • Hsinchu
Perl
Python
Apply
Senior High Speed SerDes Validation Engineer
5 days agoIn office • Full-Time • 5+ years exp • Hsinchu • Taipei
C++
Python
InfiniBand
Apply
Show more jobs
Financials
Est. Annual Revenue
$130.5B
2025
Total raised
$42M
Latest round
IPO
Funding rounds
1
Investors
2
Revenue
+114% YoY
Estimate
Modelled from public signals, not audited accounts - read it as an order of magnitude.
| Year | Estimate | Low | High |
|---|---|---|---|
| 2014 | $4.1B | $4.1B | $4.1B |
| 2015 | $4.7B | $4.7B | $4.7B |
| 2016 | $5B | $5B | $5B |
| 2017 | $6.9B | $6.9B | $6.9B |
| 2018 | $9.7B | $9.7B | $9.7B |
| 2019 | $11.7B | $11.7B | $11.7B |
| 2020 | $10.9B | $10.9B | $10.9B |
| 2021 | $16.7B | $16.7B | $16.7B |
| 2022 | $26.9B | $26.9B | $26.9B |
| 2023 | $27B | $27B | $27B |
| 2024 | $60.9B | $60.9B | $60.9B |
| 2025 | $130.5B | $130.5B | $130.5B |
Funding rounds
| Round | Announced | Amount |
|---|---|---|
| IPO | 1999 | $42M |
Key Investors
Sutter Hill Ventures
Sutter Hill Ventures co-led NVIDIA's founding investment alongside Sequoia Capital. The Palo Alto firm specialises in company formation and early-stage technology bets.
shv.com
Sequoia Capital
Sequoia Capital was one of NVIDIA's original venture backers in 1993. The Menlo Park firm has funded semiconductor and infrastructure companies for five decades.
sequoiacap.com