NVIDIA tech stack
NVIDIA builds mostly with Python, C++, Perl, Verilog. Its stack also includes Linux, Kubernetes, PyTorch, PyTorch C++. Python is named in 1,298 of the 2,360 job postings NVIDIA published in the last 12 months (55%). Counted by Alion from the job postings of NVIDIA, updated Sep 27, 2026.
What programming languages does NVIDIA use?
Python is named in 55% of job postings at NVIDIA, followed by C++ (37%), Perl (11%), Verilog (6%).
Python
1298 55%
C++
877 37%
Perl
248 11%
Verilog
150 6%
SystemVerilog
127 5%
Rust
95 4%
Go
86 4%
SQL
86 4%
Show all (43)
And 3 more, each named in fewer postings.
What frameworks and libraries does NVIDIA use?
PyTorch is named in 13% of job postings at NVIDIA, followed by PyTorch C++ (8%), TensorFlow (6%), UVM (4%).
PyTorch
302 13%
PyTorch C++
192 8%
TensorFlow
132 6%
UVM
89 4%
JAX
84 4%
TensorFlow C++
82 3%
SGLang
73 3%
Show all (103)
And 63 more, each named in fewer postings.
What databases does NVIDIA use?
ElasticSearch is named in 1% of job postings at NVIDIA, followed by MySQL (1%), PostgreSQL (<1%), Delta Lake (<1%).
ElasticSearch
22 1%
MySQL
15 1%
PostgreSQL
11 <1%
Delta Lake
11 <1%
InfluxDB
6 <1%
OpenSearch
6 <1%
Snowflake
6 <1%
Milvus
5 <1%
Show all (26)
What cloud and platforms does NVIDIA use?
Linux is named in 30% of job postings at NVIDIA, followed by Kubernetes (18%), AWS (5%), vLLM (4%).
Kubernetes
429 18%
AWS
125 5%
vLLM
105 4%
Azure
105 4%
GCP
99 4%
Grafana
88 4%
Show all (90)
And 50 more, each named in fewer postings.
What developer tools does NVIDIA use?
InfiniBand is named in 11% of job postings at NVIDIA, followed by Docker (9%), SLURM (6%), Ansible (5%).
Docker
206 9%
SLURM
138 6%
Ansible
118 5%
Git
107 5%
Jenkins
102 4%
Prometheus
77 3%
Terraform
66 3%
Show all (165)
And 125 more, each named in fewer postings.
What AI and ML technologies does NVIDIA use?
LLM is named in 14% of job postings at NVIDIA, followed by Claude (3%), VLM (1%), ChatGPT (1%).
Show all (21)
Which engineering practices does NVIDIA ask for?
HPC is named in 20% of job postings at NVIDIA, followed by AI Agents (18%), Machine Learning (15%), CI/CD (13%).
HPC
478 20%
AI Agents
434 18%
CI/CD
305 13%
Computer Vision
120 5%
Multimodal AI
103 4%
RAG
101 4%
Show all (116)
And 76 more, each named in fewer postings.
What other technologies does NVIDIA use?
CDS Views is named in <1% of job postings at NVIDIA.
What does each NVIDIA team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Hardware
387 postingsBackend
321 postingsAI/ML
316 postingsDevOps
306 postingsProduct
203 postingsSolutions
137 postingsHow does your stack fit NVIDIA?
How much does NVIDIA pay by technology?
Median stated pay of the postings that name each technology, against the median of all NVIDIA postings with stated pay: $270k across 1,321 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 740 | $265k | −2% |
| C++ | 517 | $276k | +2% |
| Linux | 367 | $276k | +2% |
| Kubernetes | 256 | $288k | +6% |
| LLM | 208 | $288k | +6% |
| PyTorch | 200 | $288k | +6% |
| PyTorch C++ | 133 | $288k | +6% |
| Perl | 129 | $219k | −19% |
| TensorFlow | 91 | $288k | +6% |
| AWS | 84 | $288k | +6% |
How is the NVIDIA stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the NVIDIA stack?
NVIDIA scores 75 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 21; legacy ones: 0.
How common is the NVIDIA stack in its industry?
Share of the 124 companies in the same industries, whose stack Alion knows, that use each technology.
What sets NVIDIA apart
NVIDIA products in its job postings
Postings at NVIDIA name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like NVIDIA
Qualcomm
412 shared technologies
Cisco Systems
369 shared technologies
Hewlett Packard Enterprise
326 shared technologies
Micron Technology
296 shared technologies
Bosch
375 shared technologies
Intel Corporation
267 shared technologies
Amazon
326 shared technologies
ByteDance
285 shared technologies
Questions about the NVIDIA tech stack
What programming languages does NVIDIA use?
The languages named in NVIDIA job postings are Python (55%), C++ (37%), Perl (11%), Verilog (6%), SystemVerilog (5%), as a share of the 2,360 postings of the last 12 months.
Does NVIDIA use PyTorch?
Yes. PyTorch is named in 302 of 2,360 job postings (13%) and required in 269 of them.
What cloud and platforms does NVIDIA use?
The cloud and platforms named in NVIDIA job postings are Linux (709), Kubernetes (429), AWS (125) (postings in brackets).
What skills do you need for a Hardware job at NVIDIA?
Hardware postings at NVIDIA most often require Python (192), C++ (126), Verilog (122), Perl (115), out of 387 postings in the last 12 months.
Is the NVIDIA tech stack changing?
Yes. Informatica, Master Data Management, Model Predictive Control, Blender first appeared in NVIDIA job postings in the last six months.
How modern is the NVIDIA tech stack?
NVIDIA scores 75 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 21; legacy ones: 0.
How does Alion know the NVIDIA tech stack?
Alion reads every job posting NVIDIA publishes and tags the technologies each one names. The figures on this page count the 2,360 postings of the last 12 months and were updated on Sep 27, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "NVIDIA tech stack: 565 technologies from 2,360 job postings", as of Sep 27, 2026. https://alion.io/company/nvidia/technologies