University of Maryland tech stack
University of Maryland builds mostly with Python, SQL, C++, JavaScript. Its stack also includes PyTorch, Linux, Azure, TensorFlow. Python is named in 25 of the 62 job postings University of Maryland published in the last 12 months (40%). Counted by Alion from the job postings of University of Maryland, updated Sep 27, 2026.
What programming languages does University of Maryland use?
Python is named in 40% of job postings at University of Maryland, followed by SQL (11%), C++ (10%), JavaScript (8%).
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What frameworks and libraries does University of Maryland use?
PyTorch is named in 16% of job postings at University of Maryland, followed by TensorFlow (11%), FastAPI (8%), Lightning Web Components (6%).
PyTorch
10 16%
TensorFlow
7 11%
FastAPI
5 8%
Flask
3 5%
PyTorch C++
3 5%
Scikit-learn
3 5%
TensorFlow C++
3 5%
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What databases does University of Maryland use?
PostgreSQL is named in 5% of job postings at University of Maryland, followed by Cassandra (2%), ElasticSearch (2%), MySQL (2%).
What cloud and platforms does University of Maryland use?
Linux is named in 13% of job postings at University of Maryland, followed by Azure (11%), AWS (10%), Windows (10%).
Azure
7 11%
AWS
6 10%
GitHub
6 10%
Power BI
4 6%
GCP
3 5%
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What developer tools does University of Maryland use?
Rest API is named in 11% of job postings at University of Maryland, followed by Docker (10%), Git (10%), Canva (6%).
Rest API
7 11%
Docker
6 10%
Git
6 10%
Canva
4 6%
Ansible
3 5%
Adobe Photoshop
3 5%
Adobe After Effects
2 3%
CloudFormation
2 3%
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What AI and ML technologies does University of Maryland use?
LLM is named in 3% of job postings at University of Maryland, followed by Gaussian Splatting (2%).
LLM
2 3%
Gaussian Splatting
1 2%
Which engineering practices does University of Maryland ask for?
Machine Learning is named in 45% of job postings at University of Maryland, followed by CI/CD (13%), ETL/ELT (11%), Computer Vision (10%).
CI/CD
8 13%
Computer Vision
6 10%
AI Agents
4 6%
Multimodal AI
3 5%
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And 1 more, each named in fewer postings.
What does each University of Maryland team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
15 postingsAI/ML
6 postingsEnterprise Apps
4 postingsHow does your stack fit University of Maryland?
How much does University of Maryland pay by technology?
Median stated pay of the postings that name each technology, against the median of all University of Maryland postings with stated pay: $120k across 49 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 20 | $131k | +9% |
| PyTorch | 8 | $118k | −1% |
| Azure | 7 | $140k | +17% |
| TensorFlow | 7 | $127k | +6% |
| C++ | 6 | $118k | −1% |
| Linux | 5 | $159k | +32% |
| Windows | 5 | $139k | +16% |
| SQL | 5 | $135k | +13% |
| GitHub | 5 | $125k | +4% |
| JavaScript | 5 | $121k | 0% |
How is the University of Maryland 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 University of Maryland stack?
University of Maryland scores 77 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 University of Maryland stack in its industry?
Share of the 910 companies in the same industries, whose stack Alion knows, that use each technology.
What sets University of Maryland apart
Companies with a stack like University of Maryland
Lawrence Livermore National Laboratory
85 shared technologies
Zeiss
117 shared technologies
IQVIA
119 shared technologies
Applied Materials
119 shared technologies
Bespoke Technologies
90 shared technologies
Vantor
108 shared technologies
The University of Texas at Austin
111 shared technologies
Magna
105 shared technologies
Questions about the University of Maryland tech stack
What programming languages does University of Maryland use?
The languages named in University of Maryland job postings are Python (40%), SQL (11%), C++ (10%), JavaScript (8%), Apex (6%), as a share of the 62 postings of the last 12 months.
Does University of Maryland use PyTorch?
Yes. PyTorch is named in 10 of 62 job postings (16%) and required in 9 of them.
What cloud and platforms does University of Maryland use?
The cloud and platforms named in University of Maryland job postings are Linux (8), Azure (7), AWS (6) (postings in brackets).
What skills do you need for a Data Science job at University of Maryland?
Data Science postings at University of Maryland most often require Python (10), Linux (4), PyTorch (4), Git (3), out of 15 postings in the last 12 months.
Is the University of Maryland tech stack changing?
Yes. Sentence-Transformers, Transformers, Fortran, MATLAB first appeared in University of Maryland job postings in the last six months.
How modern is the University of Maryland tech stack?
University of Maryland scores 77 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 University of Maryland tech stack?
Alion reads every job posting University of Maryland publishes and tags the technologies each one names. The figures on this page count the 62 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, "University of Maryland tech stack: 165 technologies from 62 job postings", as of Sep 27, 2026. https://alion.io/company/umd/technologies