NVIDIA tech stack
NVIDIA builds mostly with Python, C++, Perl, Verilog. Its stack also includes Linux, Kubernetes, PyTorch, TensorFlow. Python is named in 2,006 of the 3,681 job postings NVIDIA published in the last 12 months (54%). Counted by Alion from the job postings of NVIDIA, updated Nov 11, 2026.
What programming languages does NVIDIA use?
Python is named in 54% of job postings at NVIDIA, followed by C++ (36%), Perl (10%), Verilog (6%).
Python
2006 54%
C++
1312 36%
Perl
355 10%
Verilog
224 6%
SystemVerilog
186 5%
Rust
145 4%
SQL
144 4%
Bash
137 4%
Show all (45)
And 5 more, each named in fewer postings.
What frameworks and libraries does NVIDIA use?
PyTorch is named in 12% of job postings at NVIDIA, followed by TensorFlow (5%), UVM (4%), Triton (3%).
PyTorch
450 12%
TensorFlow
169 5%
UVM
137 4%
JAX
125 3%
TensorFlow C++
107 3%
SGLang
104 3%
MPI
74 2%
Show all (116)
And 76 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
26 1%
MySQL
23 1%
PostgreSQL
18 <1%
Delta Lake
15 <1%
Redis
14 <1%
Snowflake
11 <1%
ClickHouse
9 <1%
OpenSearch
9 <1%
Show all (30)
What cloud and platforms does NVIDIA use?
Linux is named in 29% of job postings at NVIDIA, followed by Kubernetes (18%), AWS (5%), Windows (5%).
Kubernetes
646 18%
AWS
185 5%
Azure
155 4%
vLLM
149 4%
GCP
145 4%
Grafana
128 3%
Show all (106)
And 66 more, each named in fewer postings.
What developer tools does NVIDIA use?
InfiniBand is named in 10% of job postings at NVIDIA, followed by Docker (8%), SLURM (6%), Ansible (5%).
Docker
309 8%
SLURM
204 6%
Ansible
176 5%
Git
172 5%
Jenkins
151 4%
Prometheus
111 3%
Terraform
99 3%
Show all (200)
And 160 more, each named in fewer postings.
What AI and ML technologies does NVIDIA use?
LLM is named in 13% of job postings at NVIDIA, followed by Claude (2%), VLM (1%), ChatGPT (1%).
LLM
495 13%
Claude
83 2%
VLM
45 1%
ChatGPT
24 1%
PEFT
19 1%
LoRA
17 <1%
Llama
14 <1%
DeepSeek
13 <1%
Show all (22)
Which engineering practices does NVIDIA ask for?
HPC is named in 19% of job postings at NVIDIA, followed by AI Agents (18%), Machine Learning (15%), CI/CD (13%).
HPC
707 19%
AI Agents
663 18%
CI/CD
461 13%
Computer Vision
178 5%
Multimodal AI
164 4%
RAG
164 4%
Reinforcement Learning
145 4%
Show all (132)
And 92 more, each named in fewer postings.
What other technologies does NVIDIA use?
ABAP Objects is named in <1% of job postings at NVIDIA, followed by CDS Views (<1%).
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
594 postingsBackend
511 postingsAI/ML
469 postingsDevOps
448 postingsProduct
277 postingsIndustrial Engineering
261 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 1,979 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 1087 | $265k | −2% |
| C++ | 732 | $265k | −2% |
| Linux | 511 | $270k | 0% |
| Kubernetes | 370 | $288k | +6% |
| PyTorch | 289 | $288k | +6% |
| LLM | 284 | $288k | +6% |
| Perl | 178 | $219k | −19% |
| AWS | 118 | $288k | +6% |
| TensorFlow | 113 | $288k | +6% |
| Verilog | 98 | $219k | −19% |
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: 22; legacy ones: 0.
How common is the NVIDIA stack in its industry?
Share of the 380 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
Questions about the NVIDIA tech stack
What programming languages does NVIDIA use?
The languages named in NVIDIA job postings are Python (54%), C++ (36%), Perl (10%), Verilog (6%), SystemVerilog (5%), as a share of the 3,681 postings of the last 12 months.
Does NVIDIA use PyTorch?
Yes. PyTorch is named in 450 of 3,681 job postings (12%) and required in 403 of them.
What cloud and platforms does NVIDIA use?
The cloud and platforms named in NVIDIA job postings are Linux (1055), Kubernetes (646), AWS (185) (postings in brackets).
What skills do you need for a Hardware job at NVIDIA?
Hardware postings at NVIDIA most often require Python (297), C++ (188), Verilog (183), Perl (180), out of 594 postings in the last 12 months.
Is the NVIDIA tech stack changing?
Yes. Autonomous Navigation, OPC UA, AutoGPT, JTAG Debuggers 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: 22; 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 3,681 postings of the last 12 months and were updated on Nov 11, 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: 653 technologies from 3,681 job postings", as of Nov 11, 2026. https://alion.io/company/nvidia/technologies