Lawrence Livermore National Laboratory tech stack
Lawrence Livermore National Laboratory builds mostly with Python, C++, MATLAB, Java. Its stack also includes Linux, Unix, PyTorch, TensorFlow. Python is named in 106 of the 199 job postings Lawrence Livermore National Laboratory published in the last 12 months (53%). Counted by Alion from the job postings of Lawrence Livermore National Laboratory, updated Nov 11, 2026.
What programming languages does Lawrence Livermore National Laboratory use?
Python is named in 53% of job postings at Lawrence Livermore National Laboratory, followed by C++ (24%), MATLAB (24%), Java (14%).
Python
106 53%
C++
48 24%
MATLAB
48 24%
Java
27 14%
SQL
13 7%
JavaScript
12 6%
PowerShell
11 6%
C#
9 5%
Show all (23)
What frameworks and libraries does Lawrence Livermore National Laboratory use?
PyTorch is named in 8% of job postings at Lawrence Livermore National Laboratory, followed by TensorFlow (6%), Angular (4%), React.js (4%).
PyTorch
15 8%
TensorFlow
12 6%
Angular
8 4%
React.js
7 4%
TensorFlow C++
4 2%
JAX
3 2%
Scikit-learn
3 2%
Show all (36)
What databases does Lawrence Livermore National Laboratory use?
Oracle is named in 4% of job postings at Lawrence Livermore National Laboratory, followed by MySQL (3%), Cassandra (2%), DynamoDB (2%).
Oracle
8 4%
MySQL
5 3%
Cassandra
3 2%
DynamoDB
3 2%
MS SQL
3 2%
PostgreSQL
3 2%
MariaDB
2 1%
Neo4j
2 1%
Show all (9)
What cloud and platforms does Lawrence Livermore National Laboratory use?
Linux is named in 14% of job postings at Lawrence Livermore National Laboratory, followed by Unix (8%), Windows (8%), Kubernetes (7%).
Kubernetes
14 7%
AWS
13 7%
Azure
9 5%
Splunk
9 5%
Power BI
6 3%
Show all (42)
And 2 more, each named in fewer postings.
What developer tools does Lawrence Livermore National Laboratory use?
Git is named in 11% of job postings at Lawrence Livermore National Laboratory, followed by Docker (9%), Simulink (7%), SolidWorks (6%).
Git
22 11%
Docker
18 9%
SolidWorks
12 6%
AutoCAD
11 6%
Ansible
7 4%
IDA Pro
7 4%
SLURM
7 4%
Show all (60)
And 20 more, each named in fewer postings.
What AI and ML technologies does Lawrence Livermore National Laboratory use?
LLM is named in 6% of job postings at Lawrence Livermore National Laboratory.
LLM
11 6%
Which engineering practices does Lawrence Livermore National Laboratory ask for?
Machine Learning is named in 30% of job postings at Lawrence Livermore National Laboratory, followed by HPC (11%), CI/CD (9%), AI Agents (5%).
HPC
22 11%
CI/CD
17 9%
AI Agents
9 5%
Multimodal AI
7 4%
Transfer Learning
6 3%
Show all (44)
And 4 more, each named in fewer postings.
What does each Lawrence Livermore National Laboratory team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
33 postingsEarly Careers
28 postingsIndustrial Engineering
27 postingsBackend
17 postingsSecurity
15 postingsScience & Research
10 postingsHow does your stack fit Lawrence Livermore National Laboratory?
How much does Lawrence Livermore National Laboratory pay by technology?
Median stated pay of the postings that name each technology, against the median of all Lawrence Livermore National Laboratory postings with stated pay: $155k across 189 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 101 | $155k | 0% |
| MATLAB | 45 | $186k | +20% |
| C++ | 45 | $143k | −7% |
| Java | 27 | $186k | +20% |
| Linux | 27 | $155k | 0% |
| Unix | 16 | $186k | +20% |
| Windows | 15 | $186k | +20% |
| PyTorch | 15 | $143k | −7% |
| Kubernetes | 14 | $204k | +32% |
| AWS | 13 | $223k | +44% |
How is the Lawrence Livermore National Laboratory 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 Lawrence Livermore National Laboratory stack?
Lawrence Livermore National Laboratory scores 68 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 1.
How common is the Lawrence Livermore National Laboratory stack in its industry?
Share of the 754 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Lawrence Livermore National Laboratory apart
Companies with a stack like Lawrence Livermore National Laboratory
GRVTY
138 shared technologies
Markon Solutions
110 shared technologies
Johns Hopkins University Applied Physics Laboratory
129 shared technologies
Parsons
141 shared technologies
KLA Corporation
141 shared technologies
Pennsylvania State University
124 shared technologies
MITRE
122 shared technologies
Agency for Science, Technology and Research
126 shared technologies
Questions about the Lawrence Livermore National Laboratory tech stack
What programming languages does Lawrence Livermore National Laboratory use?
The languages named in Lawrence Livermore National Laboratory job postings are Python (53%), C++ (24%), MATLAB (24%), Java (14%), SQL (7%), as a share of the 199 postings of the last 12 months.
Does Lawrence Livermore National Laboratory use PyTorch?
Yes. PyTorch is named in 15 of 199 job postings (8%) and required in 15 of them.
What cloud and platforms does Lawrence Livermore National Laboratory use?
The cloud and platforms named in Lawrence Livermore National Laboratory job postings are Linux (28), Unix (16), Windows (15) (postings in brackets).
What skills do you need for a AI/ML job at Lawrence Livermore National Laboratory?
AI/ML postings at Lawrence Livermore National Laboratory most often require Python (28), C++ (12), PyTorch (12), MATLAB (10), out of 33 postings in the last 12 months.
Is the Lawrence Livermore National Laboratory tech stack changing?
Yes. MQTT, NATS, ROS, EVMS first appeared in Lawrence Livermore National Laboratory job postings in the last six months.
How modern is the Lawrence Livermore National Laboratory tech stack?
Lawrence Livermore National Laboratory scores 68 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 1.
How does Alion know the Lawrence Livermore National Laboratory tech stack?
Alion reads every job posting Lawrence Livermore National Laboratory publishes and tags the technologies each one names. The figures on this page count the 199 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, "Lawrence Livermore National Laboratory tech stack: 215 technologies from 199 job postings", as of Nov 11, 2026. https://alion.io/company/llnl/technologies