Teraki is a Berlin-based tech-driven company enabling true mobility. We stand for innovation in the rapidly developing connected car, self-driving and 3D mapping world. Teraki provides the data reduction and data processing solution for Automotive (IoT) applications and enables the launch of new applications by reducing costs. We help our customers with the challenges that are posed by the exploding amounts of data in connected cars for all sensor, video and 3D mapping data.
As Intern/Working Student, you will work six or more months with us on video streaming software and algorithms, while making sure that we deliver the highest quality products. You will be closely working with Research Scientists, Software Engineers and Test Engineers.
- Understand and implement algorithms for video processing and compression.
- Prototype and evaluate new concepts for improved prediction algorithms.
- Carry out performance benchmarking and analysis to support engineering decisions.
Who we are looking for:
- You are currently majoring in Computer Science or Software Engineering.
- You have very strong programming skills in C++ (C++14).
- You have a good working knowledge of Linux and development for embedded devices.
- You have a basic understanding of video compression algorithms. It is a plus if you have experience with motion estimation / motion compensation for video.
- You interest in algorithm development and a fundamental knowledge of mathematics.
- You have a “Can do” and above all “want to do” attitude.
- You are a motivated, fast learner and a problem solver team player who can work independently as well.
- You are fluent in English.
More info about Teraki:
- Teraki is 5 years old and well-funded, with 15 million euros received so far: [...] explains why image compression needs to be optimized for machine perception: [...] explains why edge computing is critical for AD: [...] is the leader in efficient edge computing, for both compression and analysis: [...] is the leader in point cloud compression: [...] explains the necessity of efficient sensor fusion: [...]