Tesla Laboratories tech stack

Tesla Laboratories builds mostly with JavaScript, Node JS, Python, C++. Its stack also includes Power BI, AWS, DynamoDB, ElasticSearch. Power BI is named in 8 of the 22 job postings Tesla Laboratories published in the last 12 months (36%). Counted by Alion from the job postings of Tesla Laboratories, updated Sep 27, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 27, 2026
Technologies in use
51
Postings analysed
22
Open now
18
Modernity
69 /100
New in 6 months
8

What programming languages does Tesla Laboratories use?

JavaScript is named in 18% of job postings at Tesla Laboratories, followed by Node JS (9%), Python (9%), C++ (5%).

JavaScript 4 18% required in 50% · 2 open now · since Aug 2026
Node JS 2 9% required in 100% · 1 open now · since Sep 2026
Python 2 9% required in 50% · 2 open now · since Aug 2026
C++ 1 5% required in 100% · 1 open now · since Aug 2026
Java 1 5% required in 100% · 1 open now · since Sep 2026
Perl 1 5% required in 100% · 1 open now · since Aug 2026
Scala 1 5% required in 100% · 1 open now · since Sep 2026
TypeScript 1 5% optional · 1 open now · since Sep 2026

What frameworks and libraries does Tesla Laboratories use?

Angular is named in 5% of job postings at Tesla Laboratories, followed by D3.js (5%), Hadoop (5%), JUnit (5%).

Angular 1 5% required in 100% · 1 open now · since Sep 2026
D3.js 1 5% required in 100% · since Sep 2026
Hadoop 1 5% required in 100% · 1 open now · since Aug 2026
JUnit 1 5% required in 100% · 1 open now · since Sep 2026
Jest 1 5% required in 100% · 1 open now · since Sep 2026
Next.js 1 5% required in 100% · since Sep 2026
React.js 1 5% required in 100% · since Sep 2026
Spring Boot 1 5% required in 100% · 1 open now · since Sep 2026
Show all (12)
Spring Framework1
Spring Security1
Vue.js1
Angular Material1

What databases does Tesla Laboratories use?

DynamoDB is named in 9% of job postings at Tesla Laboratories, followed by ElasticSearch (5%), HBase (5%), PostgreSQL (5%).

DynamoDB 2 9% required in 100% · 1 open now · since Sep 2026
ElasticSearch 1 5% required in 100% · 1 open now · since Aug 2026
HBase 1 5% required in 100% · 1 open now · since Aug 2026
PostgreSQL 1 5% required in 100% · 1 open now · since Sep 2026

What cloud and platforms does Tesla Laboratories use?

Power BI is named in 36% of job postings at Tesla Laboratories, followed by AWS (18%), Azure (18%), Microsoft Sentinel (14%).

Power BI 8 36% required in 100% · 8 open now · since Sep 2026
AWS 4 18% required in 75% · 3 open now · since Aug 2026
Azure 4 18% required in 75% · 2 open now · since Sep 2026
Microsoft Sentinel 3 14% required in 100% · 1 open now · since Sep 2026
Windows 3 14% required in 100% · 2 open now · since Aug 2026
GitHub 2 9% required in 100% · 1 open now · since Aug 2026
Linux 2 9% required in 100% · 1 open now · since Aug 2026
AWS Step Functions 1 5% required in 100% · since Sep 2026
Show all (17)
Amazon CloudWatch1
Amazon EC21
Amazon ECS1
Amazon S31
CentOS Stream1
Spark1
VMWare1
Windows Server1
Tableau1

What developer tools does Tesla Laboratories use?

AutoCAD is named in 23% of job postings at Tesla Laboratories, followed by Git (9%), Apache Tomcat (5%), Hyper-V (5%).

AutoCAD 5 23% required in 100% · 5 open now · since Mar 2026
Git 2 9% required in 100% · 1 open now · since Sep 2026
Apache Tomcat 1 5% required in 100% · 1 open now · since Sep 2026
Hyper-V 1 5% required in 100% · since Sep 2026
Jenkins 1 5% required in 100% · 1 open now · since Sep 2026
Lighthouse 1 5% required in 100% · 1 open now · since Jul 2026
pySpark 1 5% required in 100% · 1 open now · since Aug 2026

Which engineering practices does Tesla Laboratories ask for?

CI/CD is named in 5% of job postings at Tesla Laboratories, followed by Incident Management (5%), NLP (5%).

CI/CD 1 5% required in 100% · since Sep 2026
Incident Management 1 5% required in 100% · 1 open now · since Jul 2026
NLP 1 5% optional · 1 open now · since Sep 2026

What does each Tesla Laboratories team work with?

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

Industrial Engineering

6 postings
Power BI5
AutoCAD3

Backend

3 postings
AWS2
DynamoDB2
Git2
JavaScript2
Node JS2

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How is the Tesla Laboratories 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
Power BISep 2026
AzureSep 2026
Microsoft SentinelSep 2026
DynamoDBSep 2026
GitSep 2026
Node JSSep 2026
AWSAug 2026
JavaScriptAug 2026

How modern is the Tesla Laboratories stack?

Modern 69/100

Tesla Laboratories scores 69 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: 0; legacy ones: 0.

How common is the Tesla Laboratories stack in its industry?

Share of the 2,841 companies in the same industries, whose stack Alion knows, that use each technology.

Power BI19%
AWS38%
Azure35%
JavaScript40%
Microsoft Sentinel3%
Windows25%
DynamoDB5%
GitHub18%
Linux27%
Node JS18%

What sets Tesla Laboratories apart

Microsoft Sentinel3%

Questions about the Tesla Laboratories tech stack

What programming languages does Tesla Laboratories use?

The languages named in Tesla Laboratories job postings are JavaScript (18%), Node JS (9%), Python (9%), C++ (5%), Java (5%), as a share of the 22 postings of the last 12 months.

Does Tesla Laboratories use Power BI?

Yes. Power BI is named in 8 of 22 job postings (36%) and required in 8 of them.

What cloud and platforms does Tesla Laboratories use?

The cloud and platforms named in Tesla Laboratories job postings are Power BI (8), AWS (4), Azure (4) (postings in brackets).

What skills do you need for a Industrial Engineering job at Tesla Laboratories?

Industrial Engineering postings at Tesla Laboratories most often require Power BI (5), AutoCAD (3), out of 6 postings in the last 12 months.

Is the Tesla Laboratories tech stack changing?

Yes. Power BI, Azure, Microsoft Sentinel, DynamoDB first appeared in Tesla Laboratories job postings in the last six months.

How modern is the Tesla Laboratories tech stack?

Tesla Laboratories scores 69 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: 0; legacy ones: 0.

How does Alion know the Tesla Laboratories tech stack?

Alion reads every job posting Tesla Laboratories publishes and tags the technologies each one names. The figures on this page count the 22 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, "Tesla Laboratories tech stack: 51 technologies from 22 job postings", as of Sep 27, 2026. https://alion.io/company/tesla-6/technologies

Licence: CC BY-SA 4.0JSON