Our Automotive Division is set on making driving safer and more autonomous. In exclusive collaboration with a major automotive safety supplier – Arriver – we’re developing computer vision algorithms for ADAS, with a focus on understanding the traffic scene.
Our technology is already an integral part of first-rate cars such as Mercedes S-class, Polestar 2, and Cadillac Escalade.
Each of our small and agile teams is focused on solving a specific, real-world problem. Real world is also where we like to test our work, so we often take our test Mercedes for a spin. So far, our technology has powered adaptive cruise control, automatic emergency braking, lane departure warnings, road edge detection, and more.
Some of the technologies we use include deep learning, C++, C, C#, Python, and Linux.
We’ve been among the fastest-growing companies since 2017. This was made possible by creating a place where people always come first. We enjoy a true work-life balance, but also get to contribute to a remarkable/unique project that directly affects the development of automotive vehicles.
“Everything is exciting when you work on a product that is going to be distributed across the world and help save lives. It’s one of the rare research and development jobs where you actually perform research, knowing that your software will truly be used in industry.”
“You are a part of a huge project hundreds of experts are working on. It’s truly unique in this region and one of the few of its kind in the world. Being included into its various phases gives you a bigger picture of the project.”
“While working alongside hundreds of people, you’re also a part of a small team which makes settling in and learning much easier. For someone straight out of school, it’s a great place to pursue your curiosity while delivering a valuable product, making the sense of accomplishment even sweeter.”