Lawrence Livermore National Laboratory tech stack
Lawrence Livermore National Laboratory builds mostly with Python, C++, Java, MATLAB. Its stack also includes Linux, Unix, PyTorch, TensorFlow. Python is named in 51 of the 103 job postings Lawrence Livermore National Laboratory published in the last 12 months (50%). Counted by Alion from the job postings of Lawrence Livermore National Laboratory, updated Sep 27, 2026.
What programming languages does Lawrence Livermore National Laboratory use?
Python is named in 50% of job postings at Lawrence Livermore National Laboratory, followed by C++ (23%), Java (16%), MATLAB (15%).
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What frameworks and libraries does Lawrence Livermore National Laboratory use?
PyTorch is named in 10% of job postings at Lawrence Livermore National Laboratory, followed by TensorFlow (9%), Angular (6%), PyTorch C++ (4%).
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What databases does Lawrence Livermore National Laboratory use?
Oracle is named in 8% of job postings at Lawrence Livermore National Laboratory, followed by MySQL (5%), Cassandra (3%), DynamoDB (3%).
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What cloud and platforms does Lawrence Livermore National Laboratory use?
Linux is named in 16% of job postings at Lawrence Livermore National Laboratory, followed by Unix (12%), AWS (10%), Windows (10%).
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What developer tools does Lawrence Livermore National Laboratory use?
Git is named in 13% of job postings at Lawrence Livermore National Laboratory, followed by AutoCAD (9%), SolidWorks (9%), Docker (8%).
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What AI and ML technologies does Lawrence Livermore National Laboratory use?
LLM is named in 5% of job postings at Lawrence Livermore National Laboratory.
Which engineering practices does Lawrence Livermore National Laboratory ask for?
Machine Learning is named in 31% of job postings at Lawrence Livermore National Laboratory, followed by HPC (12%), CI/CD (11%), AI Agents (7%).
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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
24 postingsIndustrial Engineering
13 postingsEarly Careers
12 postingsBackend
10 postingsData Science
9 postingsSecurity
8 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: $186k across 97 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 49 | $155k | −17% |
| C++ | 22 | $186k | 0% |
| Java | 16 | $223k | +20% |
| Linux | 16 | $186k | 0% |
| MATLAB | 14 | $164k | −11% |
| Unix | 12 | $186k | 0% |
| AWS | 10 | $223k | +20% |
| PyTorch | 10 | $186k | 0% |
| Windows | 10 | $186k | 0% |
| TensorFlow | 9 | $186k | 0% |
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 70 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 481 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
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 (50%), C++ (23%), Java (16%), MATLAB (15%), JavaScript (8%), as a share of the 103 postings of the last 12 months.
Does Lawrence Livermore National Laboratory use PyTorch?
Yes. PyTorch is named in 10 of 103 job postings (10%) and required in 10 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 (16), Unix (12), AWS (10) (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 (19), C++ (10), PyTorch (7), MATLAB (6), out of 24 postings in the last 12 months.
Is the Lawrence Livermore National Laboratory tech stack changing?
Yes. DNS, Drupal, MariaDB, Nginx 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 70 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 103 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, "Lawrence Livermore National Laboratory tech stack: 141 technologies from 103 job postings", as of Sep 27, 2026. https://alion.io/company/llnl/technologies
