Teraki is the leader in compression and edge-based data analytics for the three primary types of data used in AD: telematics (e.g. location, speed, acceleration, motor state, etc.), video (cameras), and point clouds (generally generated from LiDAR, Radar, and Time-of-Flight cameras).
Data Science Intern for Autonomous Driving
Autonomous driving (AD) is an active field of research for all major car manufacturers. To drive by themselves, cars are equipped with various type of sensors that try to "see" the world around them. The huge amount of data streaming from these sensors needs to be analyzed and interpreted like a human in real-time. For example:
Here's a red light → I need to stop.
There's an obstacle in front of the car → I should go around it.
I've seen this building before → I must have went in a circle.
To accomplish this, we need smart and efficient algorithms that run either in the car itself (edge computing) or on a more powerful server in the cloud (cloud computing). However, since the amount of data being generated is too large to be handled completely in the car, we need to get some of that data to the cloud, where we have more computational resources. Unfortunately, even with the upcoming 5G technology, the amount of sensor data being generated is too large and requires compression. That's where Teraki comes in...
Teraki is the leader in compression and edge-based data analytics for the three primary types of data used in AD:
telematics (e.g. location, speed, acceleration, motor state, etc.)
point clouds (generally generated from LiDAR, Radar, and Time-of-Flight cameras)
We are looking for a Data Science Intern in the culturally-diverse Berlin-based office, where English is the working language. You will be working on the point cloud research team to develop lightweight simultaneous localization and mapping (SLAM) algorithms for autonomous driving, although knowledge of SLAM is not a prerequisite.
Student or recent graduate in a STEM subject
Strong problem-solving skills
Above-average programming skills in either C++ or Python, under Linux or MacOS
Ability to work in a team
What we offer:
actively contribute to the new mobility revolution: the emergence of novel data-driven automotive platforms
increase your technical know-how in very hot topics in AD
see how research and development works in industry
work in a vibrant startup environment and share insights within an international team
work on your own self-contained project
be mentored closely by three senior point cloud data scientists
learn about point clouds, which are used for autonomous driving, drones, Augmented Reality (AR), or Virtual Reality (VR)