Carnegie Mellon University tech stack
Carnegie Mellon University builds mostly with Python, C++, Java, MATLAB. Its stack also includes Linux, PyTorch, TensorFlow, Windows. Python is named in 70 of the 160 job postings Carnegie Mellon University published in the last 12 months (44%). Counted by Alion from the job postings of Carnegie Mellon University, updated Nov 14, 2026.
What programming languages does Carnegie Mellon University use?
Python is named in 44% of job postings at Carnegie Mellon University, followed by C++ (23%), Java (11%), MATLAB (9%).
C++ 
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What frameworks and libraries does Carnegie Mellon University use?
PyTorch is named in 9% of job postings at Carnegie Mellon University, followed by TensorFlow (9%), NumPy (4%), ROS (4%).
PyTorch
15 9%
TensorFlow
15 9%
NumPy
7 4%
ROS
7 4%
TensorFlow C++
6 4%
CatBoost
4 3%
FastAPI
4 3%
JAX
4 3%
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What databases does Carnegie Mellon University use?
Snowflake is named in 3% of job postings at Carnegie Mellon University, followed by Google BigQuery (3%), Realm (3%), Oracle (3%).
Snowflake
5 3%
Google BigQuery
4 3%
Realm
4 3%
Oracle
4 3%
Trino
3 2%
MS SQL
2 1%
PostgreSQL
2 1%
Amazon Aurora
1 1%
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What cloud and platforms does Carnegie Mellon University use?
Linux is named in 16% of job postings at Carnegie Mellon University, followed by Windows (8%), Power BI (5%), Amazon S3 (4%).
Power BI
8 5%
Vertex AI
4 3%
GitHub
4 3%
Kubernetes
4 3%
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What developer tools does Carnegie Mellon University use?
Microsoft Excel is named in 8% of job postings at Carnegie Mellon University, followed by IDA Pro (8%), Git (6%), SolidWorks (5%).
IDA Pro
12 8%
Git
10 6%
SolidWorks
8 5%
Docker
7 4%
Ghidra
6 4%
Wireshark
6 4%
Cobalt Strike
4 3%
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And 5 more, each named in fewer postings.
What AI and ML technologies does Carnegie Mellon University use?
LLM is named in 4% of job postings at Carnegie Mellon University, followed by Llama (2%), ChatGPT (1%), Claude (1%).
Which engineering practices does Carnegie Mellon University ask for?
Machine Learning is named in 34% of job postings at Carnegie Mellon University, followed by Computer Vision (12%), AI Agents (10%), Multimodal AI (8%).
Computer Vision
19 12%
AI Agents
16 10%
Multimodal AI
13 8%
CI/CD
8 5%
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And 8 more, each named in fewer postings.
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.
Science & Research
23 postingsAI/ML
17 postingsSecurity
16 postingsEarly Careers
13 postingsBackend
11 postingsHow does your stack fit Carnegie Mellon University?
How is the Carnegie Mellon University 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 Carnegie Mellon University stack?
Carnegie Mellon University scores 83 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: 5; legacy ones: 0.
How common is the Carnegie Mellon University stack in its industry?
Share of the 1,485 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
135 shared technologies
Valeo
122 shared technologies
Agency for Science, Technology and Research
135 shared technologies
Parsons
144 shared technologies
SanDisk
124 shared technologies
Siemens Healthineers
134 shared technologies
Nielsen
118 shared technologies
Teradyne
126 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++ (23%), Java (11%), MATLAB (9%), C# (5%), as a share of the 160 postings of the last 12 months.
Does Carnegie Mellon University use PyTorch?
Yes. PyTorch is named in 15 of 160 job postings (9%) and required in 15 of them.
What cloud and platforms does Carnegie Mellon University use?
The cloud and platforms named in Carnegie Mellon University job postings are Linux (25), Windows (12), Power BI (8) (postings in brackets).
What skills do you need for a Science & Research job at Carnegie Mellon University?
Science & Research postings at Carnegie Mellon University most often require Python (6), MATLAB (4), out of 23 postings in the last 12 months.
Is the Carnegie Mellon University tech stack changing?
Yes. Bash, ChatGPT, PHP, Canva first 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 83 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: 5; 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 160 postings of the last 12 months and were updated on Nov 14, 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: 213 technologies from 160 job postings", as of Nov 14, 2026. https://alion.io/company/cmu/technologies