Riverside Research tech stack
Riverside Research builds mostly with Python, Rust, C++, MATLAB. Its stack also includes Kubernetes, AWS, GDAL, OpenCV. Python is named in 23 of the 32 job postings Riverside Research published in the last 12 months (72%). Counted by Alion from the job postings of Riverside Research, updated Sep 27, 2026.
What programming languages does Riverside Research use?
Python is named in 72% of job postings at Riverside Research, followed by Rust (19%), C++ (16%), MATLAB (13%).
Show all (13)
What frameworks and libraries does Riverside Research use?
GDAL is named in 9% of job postings at Riverside Research, followed by OpenCV (9%), TensorFlow (9%), PyTorch (6%).
GDAL
3 9%
OpenCV
3 9%
TensorFlow
3 9%
PyTorch
2 6%
Scikit-learn
2 6%
Angular
1 3%
Hadoop
1 3%
Hibernate
1 3%
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What databases does Riverside Research use?
Cassandra is named in 3% of job postings at Riverside Research, followed by ElasticSearch (3%), HBase (3%), MS SQL (3%).
What cloud and platforms does Riverside Research use?
Kubernetes is named in 16% of job postings at Riverside Research, followed by AWS (16%), Azure (16%), GitHub (16%).
Kubernetes
5 16%
AWS
5 16%
Azure
5 16%
GitHub
5 16%
GitLab
3 9%
Istio
3 9%
Apache Kafka
2 6%
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What developer tools does Riverside Research use?
Docker is named in 25% of job postings at Riverside Research, followed by Git (16%), Helm (9%), QGIS (9%).
Show all (14)
What AI and ML technologies does Riverside Research use?
LLM is named in 3% of job postings at Riverside Research.
LLM
1 3%
Which engineering practices does Riverside Research ask for?
Machine Learning is named in 28% of job postings at Riverside Research, followed by Computer Vision (9%), BGP (3%), Configuration Management (3%).
Computer Vision
3 9%
Dependency Injection
1 3%
Show all (13)
What does each Riverside Research team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Industrial Engineering
10 postingsSecurity
6 postingsProduct
3 postingsHow does your stack fit Riverside Research?
How much does Riverside Research pay by technology?
Median stated pay of the postings that name each technology, against the median of all Riverside Research postings with stated pay: $168k across 22 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 16 | $160k | −4% |
| AWS | 5 | $135k | −19% |
| Azure | 5 | $135k | −19% |
How modern is the Riverside Research stack?
Riverside Research scores 75 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: 1; legacy ones: 0.
How common is the Riverside Research stack in its industry?
Share of the 433 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Riverside Research apart
Companies with a stack like Riverside Research
Lawrence Livermore National Laboratory
51 shared technologies
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50 shared technologies
Western Digital
50 shared technologies
Starfish Holdings
50 shared technologies
GRVTY
62 shared technologies
Freedom Consulting Group
54 shared technologies
Momentum Engineering
50 shared technologies
Scalian
63 shared technologies
Questions about the Riverside Research tech stack
What programming languages does Riverside Research use?
The languages named in Riverside Research job postings are Python (72%), Rust (19%), C++ (16%), MATLAB (13%), Java (9%), as a share of the 32 postings of the last 12 months.
Does Riverside Research use GDAL?
Yes. GDAL is named in 3 of 32 job postings (9%) and required in 3 of them.
What cloud and platforms does Riverside Research use?
The cloud and platforms named in Riverside Research job postings are Kubernetes (5), AWS (5), Azure (5) (postings in brackets).
What skills do you need for a Industrial Engineering job at Riverside Research?
Industrial Engineering postings at Riverside Research most often require Python (10), GDAL (3), MATLAB (3), OpenCV (3), out of 10 postings in the last 12 months.
Is the Riverside Research tech stack changing?
No new technology has appeared in Riverside Research job postings in the last six months.
How modern is the Riverside Research tech stack?
Riverside Research scores 75 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: 1; legacy ones: 0.
How does Alion know the Riverside Research tech stack?
Alion reads every job posting Riverside Research publishes and tags the technologies each one names. The figures on this page count the 32 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, "Riverside Research tech stack: 82 technologies from 32 job postings", as of Sep 27, 2026. https://alion.io/company/riversideresearch/technologies