Argonne National Laboratory tech stack
Argonne National Laboratory builds mostly with Python, C++, MATLAB, SQL. Its stack also includes Ray, Linux, PyTorch, Unix. Python is named in 22 of the 50 job postings Argonne National Laboratory published in the last 12 months (44%). Counted by Alion from the job postings of Argonne National Laboratory, updated Sep 26, 2026.
What programming languages does Argonne National Laboratory use?
Python is named in 44% of job postings at Argonne National Laboratory, followed by C++ (12%), MATLAB (10%), SQL (6%).
C++ 
C 
Crystal Show all (11)
What frameworks and libraries does Argonne National Laboratory use?
Ray is named in 28% of job postings at Argonne National Laboratory, followed by PyTorch (12%), JAX (6%), TensorFlow (6%).
Ray
14 28%
PyTorch
6 12%
JAX
3 6%
TensorFlow
3 6%
PyTorch C++
2 4%
Django
1 2%
FastAPI
1 2%
Flask
1 2%
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What databases does Argonne National Laboratory use?
SQLite is named in 2% of job postings at Argonne National Laboratory.
SQLite
1 2%
What cloud and platforms does Argonne National Laboratory use?
Linux is named in 12% of job postings at Argonne National Laboratory, followed by Unix (6%), GitHub (6%), Grafana (6%).
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What developer tools does Argonne National Laboratory use?
Git is named in 8% of job postings at Argonne National Laboratory, followed by InfiniBand (6%), Crystalline (4%), Microsoft Excel (4%).
Git
4 8%
Prometheus
2 4%
Ansible
1 2%
ArgoCD
1 2%
AutoCAD
1 2%
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What AI and ML technologies does Argonne National Laboratory use?
ChatGPT is named in 4% of job postings at Argonne National Laboratory, followed by LLM (4%), Claude (2%), VLM (2%).
Which engineering practices does Argonne National Laboratory ask for?
HPC is named in 30% of job postings at Argonne National Laboratory, followed by Machine Learning (28%), AI Agents (12%), Reinforcement Learning (10%).
HPC
15 30%
AI Agents
6 12%
Reinforcement Learning
5 10%
CI/CD
3 6%
Multimodal AI
3 6%
AIOps
2 4%
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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
13 postingsIndustrial Engineering
12 postingsAI/ML
4 postingsBackend
4 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: $147k across 50 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 22 | $141k | −4% |
| Ray | 14 | $147k | 0% |
| Linux | 6 | $158k | +7% |
| C++ | 6 | $147k | 0% |
| PyTorch | 6 | $147k | 0% |
| MATLAB | 5 | $121k | −18% |
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 82 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: 4; legacy ones: 0.
How common is the Argonne National Laboratory stack in its industry?
Share of the 944 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Argonne National Laboratory apart
Companies with a stack like Argonne National Laboratory
Agency for Science, Technology and Research
78 shared technologies
Lila Sciences
67 shared technologies
Lawrence Livermore National Laboratory
59 shared technologies
Nanyang Technological University
75 shared technologies
Millennium Management
62 shared technologies
Tower Research Capital
57 shared technologies
Zoox
74 shared technologies
Mistral AI
63 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 (44%), C++ (12%), MATLAB (10%), SQL (6%), Bash (4%), as a share of the 50 postings of the last 12 months.
Does Argonne National Laboratory use Ray?
Yes. Ray is named in 14 of 50 job postings (28%) and required in 14 of them.
What cloud and platforms does Argonne National Laboratory use?
The cloud and platforms named in Argonne National Laboratory job postings are Linux (6), Unix (3), GitHub (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 Ray (7), Python (4), Crystalline (2), PyTorch (2), out of 13 postings in the last 12 months.
Is the Argonne National Laboratory tech stack changing?
Yes. Java, SQL, ChatGPT, Microsoft Excel 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 82 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: 4; 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 50 postings of the last 12 months and were updated on Sep 26, 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: 106 technologies from 50 job postings", as of Sep 26, 2026. https://alion.io/company/argonne/technologies