Argonne National Laboratory tech stack
Argonne National Laboratory builds mostly with Python, C++, MATLAB, SQL. Its stack also includes PyTorch, Linux, Unix, JAX. Python is named in 30 of the 71 job postings Argonne National Laboratory published in the last 12 months (42%). Counted by Alion from the job postings of Argonne National Laboratory, updated Nov 11, 2026.
What programming languages does Argonne National Laboratory use?
Python is named in 42% of job postings at Argonne National Laboratory, followed by C++ (13%), MATLAB (7%), SQL (4%).
C++ 
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What frameworks and libraries does Argonne National Laboratory use?
PyTorch is named in 14% of job postings at Argonne National Laboratory, followed by JAX (6%), TensorFlow (6%), ROS (3%).
PyTorch
10 14%
JAX
4 6%
TensorFlow
4 6%
ROS
2 3%
Django
1 1%
FastAPI
1 1%
Flask
1 1%
Matplotlib
1 1%
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What databases does Argonne National Laboratory use?
Apache Solr is named in 1% of job postings at Argonne National Laboratory, followed by MS SQL (1%), SQLite (1%).
What cloud and platforms does Argonne National Laboratory use?
Linux is named in 13% of job postings at Argonne National Laboratory, followed by Unix (7%), Windows (4%), GitHub (4%).
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What developer tools does Argonne National Laboratory use?
Git is named in 7% of job postings at Argonne National Laboratory, followed by Rest API (4%), InfiniBand (4%), Crystalline (3%).
Git
5 7%
Rest API
3 4%
Prometheus
2 3%
Adobe Photoshop
1 1%
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What AI and ML technologies does Argonne National Laboratory use?
ChatGPT is named in 3% of job postings at Argonne National Laboratory, followed by LLM (3%), Claude (1%), VLM (1%).
Which engineering practices does Argonne National Laboratory ask for?
Machine Learning is named in 32% of job postings at Argonne National Laboratory, followed by HPC (27%), AI Agents (13%), Multimodal AI (8%).
HPC
19 27%
AI Agents
9 13%
Multimodal AI
6 8%
CI/CD
4 6%
Fine-tuning
4 6%
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And 5 more, each named in fewer postings.
What does each Argonne National Laboratory team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Science & Research
22 postingsIndustrial Engineering
16 postingsDevOps
4 postingsBackend
4 postingsAI/ML
3 postingsHow does your stack fit Argonne National Laboratory?
How much does Argonne National Laboratory pay by technology?
Median stated pay of the postings that name each technology, against the median of all Argonne National Laboratory postings with stated pay: $121k across 71 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 30 | $122k | 0% |
| PyTorch | 10 | $122k | 0% |
| C++ | 9 | $147k | +21% |
| Linux | 9 | $147k | +21% |
| Unix | 5 | $135k | +11% |
| MATLAB | 5 | $121k | 0% |
How is the Argonne 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 Argonne National Laboratory stack?
Argonne National Laboratory scores 80 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: 6; legacy ones: 0.
How common is the Argonne National Laboratory stack in its industry?
Share of the 711 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Argonne National Laboratory
Nanyang Technological University
100 shared technologies
Agency for Science, Technology and Research
100 shared technologies
Seagate Technology
82 shared technologies
Centific
79 shared technologies
Lawrence Livermore National Laboratory
84 shared technologies
Intel
115 shared technologies
KLA Corporation
107 shared technologies
Johns Hopkins University Applied Physics Laboratory
94 shared technologies
Questions about the Argonne National Laboratory tech stack
What programming languages does Argonne National Laboratory use?
The languages named in Argonne National Laboratory job postings are Python (42%), C++ (13%), MATLAB (7%), SQL (4%), Bash (3%), as a share of the 71 postings of the last 12 months.
Does Argonne National Laboratory use PyTorch?
Yes. PyTorch is named in 10 of 71 job postings (14%) and required in 9 of them.
What cloud and platforms does Argonne National Laboratory use?
The cloud and platforms named in Argonne National Laboratory job postings are Linux (9), Unix (5), Windows (3) (postings in brackets).
What skills do you need for a Science & Research job at Argonne National Laboratory?
Science & Research postings at Argonne National Laboratory most often require Python (9), PyTorch (4), Crystalline (2), JAX (2), out of 22 postings in the last 12 months.
Is the Argonne National Laboratory tech stack changing?
Yes. Julia, Rest API, Java, ALD first appeared in Argonne National Laboratory job postings in the last six months.
How modern is the Argonne National Laboratory tech stack?
Argonne National Laboratory scores 80 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: 6; legacy ones: 0.
How does Alion know the Argonne National Laboratory tech stack?
Alion reads every job posting Argonne National Laboratory publishes and tags the technologies each one names. The figures on this page count the 71 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, "Argonne National Laboratory tech stack: 146 technologies from 71 job postings", as of Nov 11, 2026. https://alion.io/company/argonne/technologies