Carnegie Mellon University tech stack
Carnegie Mellon University builds mostly with Python, C++, Java, MATLAB. Its stack also includes Linux, Windows, PyTorch, TensorFlow. Python is named in 32 of the 72 job postings Carnegie Mellon University published in the last 12 months (44%). Counted by Alion from the job postings of Carnegie Mellon University, updated Sep 29, 2026.
What programming languages does Carnegie Mellon University use?
Python is named in 44% of job postings at Carnegie Mellon University, followed by C++ (25%), Java (14%), MATLAB (13%).
C++ 
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What frameworks and libraries does Carnegie Mellon University use?
PyTorch is named in 7% of job postings at Carnegie Mellon University, followed by TensorFlow (7%), NumPy (4%), ROS (4%).
PyTorch
5 7%
TensorFlow
5 7%
NumPy
3 4%
ROS
3 4%
PyTorch C++
2 3%
Supervision
2 3%
TensorFlow C++
2 3%
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What databases does Carnegie Mellon University use?
Realm is named in 4% of job postings at Carnegie Mellon University, followed by Oracle (3%), BigQuery (1%), Google BigQuery (1%).
Realm
3 4%
Oracle
2 3%
BigQuery
1 1%
Google BigQuery
1 1%
MySQL
1 1%
PostgreSQL
1 1%
Snowflake
1 1%
Trino
1 1%
What cloud and platforms does Carnegie Mellon University use?
Linux is named in 19% of job postings at Carnegie Mellon University, followed by Windows (7%), Amazon S3 (4%), Unix (4%).
Power BI
3 4%
GitHub
2 3%
Airflow
1 1%
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What developer tools does Carnegie Mellon University use?
Rest API is named in 13% of job postings at Carnegie Mellon University, followed by SolidWorks (11%), IDA Pro (10%), Wireshark (7%).
Rest API
9 13%
SolidWorks
8 11%
IDA Pro
7 10%
Wireshark
5 7%
Cobalt Strike
3 4%
Git
3 4%
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What AI and ML technologies does Carnegie Mellon University use?
LLM is named in 6% of job postings at Carnegie Mellon University, followed by Llama (1%).
Which engineering practices does Carnegie Mellon University ask for?
Machine Learning is named in 26% of job postings at Carnegie Mellon University, followed by Computer Vision (8%), AI Agents (7%), Agentic Workflows (7%).
Computer Vision
6 8%
AI Agents
5 7%
Multimodal AI
5 7%
CI/CD
2 3%
Show all (32)
What does each Carnegie Mellon University team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
13 postingsSecurity
7 postingsHardware
5 postingsHow does your stack fit Carnegie Mellon University?
How modern is the Carnegie Mellon University stack?
Carnegie Mellon University 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: 2; legacy ones: 0.
How common is the Carnegie Mellon University stack in its industry?
Share of the 3,483 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Carnegie Mellon University apart
Companies with a stack like Carnegie Mellon University
Software Engineering Institute
112 shared technologies
Agency for Science, Technology and Research
117 shared technologies
Careers@Gov
132 shared technologies
SanDisk
116 shared technologies
KLA Corporation
122 shared technologies
Intuitive Surgical
115 shared technologies
GRVTY
106 shared technologies
Gilead Sciences
88 shared technologies
Questions about the Carnegie Mellon University tech stack
What programming languages does Carnegie Mellon University use?
The languages named in Carnegie Mellon University job postings are Python (44%), C++ (25%), Java (14%), MATLAB (13%), C# (7%), as a share of the 72 postings of the last 12 months.
Does Carnegie Mellon University use PyTorch?
Yes. PyTorch is named in 5 of 72 job postings (7%) and required in 5 of them.
What cloud and platforms does Carnegie Mellon University use?
The cloud and platforms named in Carnegie Mellon University job postings are Linux (14), Windows (5), Amazon S3 (3) (postings in brackets).
What skills do you need for a AI/ML job at Carnegie Mellon University?
AI/ML postings at Carnegie Mellon University most often require Python (9), IDA Pro (7), C++ (6), Wireshark (5), out of 13 postings in the last 12 months.
Is the Carnegie Mellon University tech stack changing?
No new technology has appeared in Carnegie Mellon University job postings in the last six months.
How modern is the Carnegie Mellon University tech stack?
Carnegie Mellon University 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: 2; legacy ones: 0.
How does Alion know the Carnegie Mellon University tech stack?
Alion reads every job posting Carnegie Mellon University publishes and tags the technologies each one names. The figures on this page count the 72 postings of the last 12 months and were updated on Sep 29, 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, "Carnegie Mellon University tech stack: 139 technologies from 72 job postings", as of Sep 29, 2026. https://alion.io/company/cmu/technologies