These are the backend programming languages that tesla uses

Welcome back! As most of you know i’ve been talking about the most popular programming languages that massive companies use, now let’s talk about what Tesla uses for backend development. In order for me to find what Tesla uses I went over to there career page, looked at their position descriptions and noted the most popular requirements I saw:

The most popular back end languages I saw that Tesla uses were: C#/ C++, SQL, Python, GO, PHP and Java. They also require experience with: Docker, Kubernetes, Agile / SCRUM software development and REST API’s. If that’s all you wanted to know then you’re welcome ☺️, otherwise let’s get into more details of these programming languages!

C# and C++

First off we have C# and C++, these are very popular languages that i’m sure everyone knows about. C++ is another very popular language, this language was originally known as “c with classes”. Since it’s origination, it’s pretty much been it’s own language. You can build out a lot of different things with both C and C++: Games, Applications, Operating Systems, etc.. As some of you may know, C# is a language actually developed by Microsoft, but it’s used in a ton of different companies.


Next up we have SQL, this is technically a query language, but it’s still a very valuable language to learn. This is not a substitute to any other language on this list, you must learn SQL and a combination of other languages on this list. This language essentially allows you to create and manage databases, this is essentially where our data is stored. To keep it simple (and to motivate you to learn this), I would probably say that every single data science position i’ve ever seen has required some knowledge of SQL (or NoSQL, MySQL, etc.). Basically, you have to know SQL in order to become a data scientist, luckily for you, it isn’t extremely hard to learn this language.


Next up we have Python, this is by far one of the most popular programming languages right now, it’s used for tons of different things, one of these things is data science. Some data science positions were hybrid data science / software engineering positions, Python is a great balance of both of those cases. Most of these positions required experience, under their Nice to have column, with Pandas and Numpy, these are very popular data processing packages with Python.


Go is actually a lesser known language, commonly known as Golang, this language was actually built by Google. Based on what i’ve seen, it is commonly noted to be fairly similar to C, but there are a few notable differences. First off, Go has memory safety, garbage collection, structural typing and CSP-style concurrency, so even though it’s not as popular as C, there are still some massive reasons to learn this language since Google built it themselves.


Java is a very popular language used in tons of companies across the world, Tesla is one of those companies. This language is an object oriented language with a large community behind it, so if you plan on learning this language, you will have a large community to help you. I imagine Tesla uses this language for their Android applications, so if you plan on developing for any of their Android apps, it might be best to know this language. If you want to learn more about Java, click the following link:

There you have it, those are most of the common languages I saw required by Tesla for their back end. Like I mentioned before, even though the programming languages are important, the frameworks and technologies they require are very important to the positions as well.

As Always

if you have any suggestions, thoughts or just want to connect, feel free to contact / follow me on Twitter! Also, below is a link to some of my favorite resources for learning programming, Python, R, Data Science, etc.

Thanks so much for reading!

Data Scientist / Engineer

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