Lawrence Livermore National Laboratory tech stack

Lawrence Livermore National Laboratory builds mostly with Python, C++, Java, MATLAB. Its stack also includes Linux, Unix, PyTorch, TensorFlow. Python is named in 51 of the 103 job postings Lawrence Livermore National Laboratory published in the last 12 months (50%). Counted by Alion from the job postings of Lawrence Livermore National Laboratory, updated Sep 27, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 27, 2026
Technologies in use
141
Postings analysed
103
Open now
54
Modernity
70 /100
New in 6 months
8

What programming languages does Lawrence Livermore National Laboratory use?

Python is named in 50% of job postings at Lawrence Livermore National Laboratory, followed by C++ (23%), Java (16%), MATLAB (15%).

Python 51 50% required in 100% · 26 open now · since Feb 2026
C++ 24 23% required in 100% · 12 open now · since Feb 2026
Java 16 16% required in 100% · 5 open now · since Jun 2026
MATLAB 15 15% required in 93% · 11 open now · since Feb 2026
JavaScript 8 8% required in 100% · 2 open now · since Jul 2026
SQL 8 8% required in 100% · 2 open now · since Jun 2026
PowerShell 7 7% required in 100% · since Jun 2026
PHP 6 6% required in 100% · since Jul 2026
Show all (19)
TypeScript6
C#5
Node JS3
Fortran2
Julia2
Bash1
Lua1
Perl1
Visual Basic1
C1
R1

What frameworks and libraries does Lawrence Livermore National Laboratory use?

PyTorch is named in 10% of job postings at Lawrence Livermore National Laboratory, followed by TensorFlow (9%), Angular (6%), PyTorch C++ (4%).

PyTorch 10 10% required in 100% · 4 open now · since Mar 2026
TensorFlow 9 9% required in 100% · 3 open now · since Mar 2026
Angular 6 6% required in 100% · since Jul 2026
PyTorch C++ 4 4% required in 100% · since Aug 2026
Ray 4 4% required in 100% · 3 open now · since Mar 2026
React.js 4 4% required in 100% · since Jul 2026
TensorFlow C++ 4 4% required in 100% · since Aug 2026
Scikit-learn 3 3% required in 100% · 1 open now · since Apr 2026
Show all (27)
Spring Boot3
LangChain2
LlamaIndex2
NumPy2
OpenCV2
Plotly2
Quarkus2
SciPy2
Vue.js2
JAX1
Keras1
MPI1
Matplotlib1
NLTK1
OpenGL1
Pandas1
SciML1
Shiny1
scikit-image1

What databases does Lawrence Livermore National Laboratory use?

Oracle is named in 8% of job postings at Lawrence Livermore National Laboratory, followed by MySQL (5%), Cassandra (3%), DynamoDB (3%).

Oracle 8 8% required in 100% · 2 open now · since Jun 2026
MySQL 5 5% required in 100% · since Jun 2026
Cassandra 3 3% required in 100% · since Jun 2026
DynamoDB 3 3% required in 100% · since Jun 2026
MS SQL 2 2% required in 100% · since Jun 2026
MariaDB 2 2% required in 100% · since Sep 2026
PostgreSQL 2 2% required in 100% · since Jun 2026
ElasticSearch 1 1% required in 100% · since Jul 2026
Show all (9)
Neo4j1

What cloud and platforms does Lawrence Livermore National Laboratory use?

Linux is named in 16% of job postings at Lawrence Livermore National Laboratory, followed by Unix (12%), AWS (10%), Windows (10%).

Linux 16 16% required in 100% · 5 open now · since May 2026
Unix 12 12% required in 100% · 5 open now · since Apr 2026
AWS 10 10% required in 100% · 2 open now · since Jun 2026
Windows 10 10% required in 100% · 2 open now · since Jun 2026
Kubernetes 8 8% required in 100% · 2 open now · since Jun 2026
Azure 7 7% required in 100% · 1 open now · since Jun 2026
Power BI 6 6% required in 100% · 3 open now · since Aug 2026
SIEM 4 4% required in 100% · 1 open now · since Jul 2026
Show all (32)
Active Directory3
Bitbucket3
Datadog3
GCP3
GitLab3
Splunk3
AWS Bedrock2
Amazon EKS2
GitHub2
Grafana2
.NET1
Amazon SageMaker1
Anthropic1
AppDynamics1
Azure AKS1
Cognos1
Dynatrace1
Google GKE1
Hugging Face1
MicroStrategy1
OpenAI1
VMWare1
Vertex AI1
Windows Server1

What developer tools does Lawrence Livermore National Laboratory use?

Git is named in 13% of job postings at Lawrence Livermore National Laboratory, followed by AutoCAD (9%), SolidWorks (9%), Docker (8%).

Git 13 13% required in 100% · 5 open now · since May 2026
AutoCAD 9 9% required in 100% · 4 open now · since Feb 2026
SolidWorks 9 9% required in 89% · 5 open now · since Mar 2026
Docker 8 8% required in 100% · 2 open now · since Jul 2026
Ansible 5 5% required in 100% · 1 open now · since Jun 2026
Apache HTTP Server 4 4% required in 100% · 1 open now · since Jul 2026
Apache Tomcat 4 4% required in 100% · 1 open now · since Jun 2026
Jenkins 4 4% required in 100% · since Jun 2026
Show all (24)
Terraform4
Microsoft Excel3
SLURM3
Simulink3
Drupal2
Model Context Protocol2
Nginx2
WordPress2
Altium Designer1
Ansys HFSS1
CloudFormation1
Fusion 3601
Helm1
IDA Pro1
LTspice1
Puppet1

What AI and ML technologies does Lawrence Livermore National Laboratory use?

LLM is named in 5% of job postings at Lawrence Livermore National Laboratory.

LLM 5 5% required in 100% · 1 open now · since Feb 2026

Which engineering practices does Lawrence Livermore National Laboratory ask for?

Machine Learning is named in 31% of job postings at Lawrence Livermore National Laboratory, followed by HPC (12%), CI/CD (11%), AI Agents (7%).

Machine Learning 32 31% required in 97% · 20 open now · since Feb 2026
HPC 12 12% required in 100% · 4 open now · since Apr 2026
CI/CD 11 11% required in 100% · 3 open now · since Jun 2026
AI Agents 7 7% required in 100% · 2 open now · since Feb 2026
Multimodal AI 5 5% required in 100% · 3 open now · since Mar 2026
Reinforcement Learning 5 5% required in 100% · 2 open now · since Apr 2026
Computer Vision 4 4% required in 100% · 1 open now · since Aug 2026
Configuration Management 4 4% required in 100% · 2 open now · since Jun 2026
Show all (29)
RAG4
Fine-tuning3
Knowledge Graph3
NLP3
SLI/SLO/SLA3
DNS2
Diffusion Models2
Explainable AI2
Incident Management2
PKI2
Time Series Forecasting2
Transfer Learning2
ETL/ELT1
Edge AI1
Human-in-the-Loop1
Interpretability1
Knowledge Distillation1
Model Distillation1
Platform Engineering1
Red Teaming1
Sentiment Analysis1

What does each Lawrence Livermore National Laboratory team work with?

The technologies each team's postings require most often, with the number of postings that require them.

AI/ML

24 postings
Python19
C++10
PyTorch7
MATLAB6
TensorFlow5
Unix3

Industrial Engineering

13 postings
SolidWorks5
Python4
AutoCAD3
MATLAB3
Simulink3
C++2

Early Careers

12 postings
Python5
C++3
Power BI2

Backend

10 postings
Git8
JavaScript7
Python7
Angular6
Docker6
Java6

Data Science

9 postings
Python8
Linux5
Unix4
Windows4
Oracle3
PyTorch3

Security

8 postings
Java5
AWS4
Azure4
C#4
PHP4
PowerShell4

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How much does Lawrence Livermore National Laboratory pay by technology?

Median stated pay of the postings that name each technology, against the median of all Lawrence Livermore National Laboratory postings with stated pay: $186k across 97 postings.

TechnologyPostings with payMedianvs company median
Python49$155k−17%
C++22$186k0%
Java16$223k+20%
Linux16$186k0%
MATLAB14$164k−11%
Unix12$186k0%
AWS10$223k+20%
PyTorch10$186k0%
Windows10$186k0%
TensorFlow9$186k0%

How is the Lawrence Livermore 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.

First appeared
DNSSep 2026
DrupalSep 2026
MariaDBSep 2026
NginxSep 2026
WordPressSep 2026
SLI/SLO/SLASep 2026
Microsoft ExcelAug 2026
Power BIAug 2026
Rising
Java7% → 19%
Docker0% → 10%
JavaScript0% → 10%
Git7% → 15%
Angular0% → 8%
PHP0% → 8%
Power BI0% → 8%
TypeScript0% → 8%
Falling
Machine Learning47% → 28%
RAG20% → 1%
TensorFlow20% → 6%
PyTorch20% → 8%
HPC20% → 11%
Unix20% → 11%
Ansible13% → 4%
Reinforcement Learning13% → 4%

How modern is the Lawrence Livermore National Laboratory stack?

Modern AI adopter 70/100

Lawrence Livermore National Laboratory scores 70 out of 100 (Modern). 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: 1.

How common is the Lawrence Livermore National Laboratory stack in its industry?

Share of the 481 companies in the same industries, whose stack Alion knows, that use each technology.

Python44%
C++22%
Java13%
Linux25%
MATLAB14%
Unix8%
AWS26%
PyTorch12%
Windows23%
TensorFlow10%

What sets Lawrence Livermore National Laboratory apart

Ray3%
TensorFlow C++3%
Bitbucket3%
Cassandra1%
Datadog3%
DynamoDB2%
Splunk3%

Questions about the Lawrence Livermore National Laboratory tech stack

What programming languages does Lawrence Livermore National Laboratory use?

The languages named in Lawrence Livermore National Laboratory job postings are Python (50%), C++ (23%), Java (16%), MATLAB (15%), JavaScript (8%), as a share of the 103 postings of the last 12 months.

Does Lawrence Livermore National Laboratory use PyTorch?

Yes. PyTorch is named in 10 of 103 job postings (10%) and required in 10 of them.

What cloud and platforms does Lawrence Livermore National Laboratory use?

The cloud and platforms named in Lawrence Livermore National Laboratory job postings are Linux (16), Unix (12), AWS (10) (postings in brackets).

What skills do you need for a AI/ML job at Lawrence Livermore National Laboratory?

AI/ML postings at Lawrence Livermore National Laboratory most often require Python (19), C++ (10), PyTorch (7), MATLAB (6), out of 24 postings in the last 12 months.

Is the Lawrence Livermore National Laboratory tech stack changing?

Yes. DNS, Drupal, MariaDB, Nginx first appeared in Lawrence Livermore National Laboratory job postings in the last six months.

How modern is the Lawrence Livermore National Laboratory tech stack?

Lawrence Livermore National Laboratory scores 70 out of 100 (Modern). 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: 1.

How does Alion know the Lawrence Livermore National Laboratory tech stack?

Alion reads every job posting Lawrence Livermore National Laboratory publishes and tags the technologies each one names. The figures on this page count the 103 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, "Lawrence Livermore National Laboratory tech stack: 141 technologies from 103 job postings", as of Sep 27, 2026. https://alion.io/company/llnl/technologies

Licence: CC BY-SA 4.0JSON