Computer Vision Embedded Engineer

Belgrade, Serbia

This job is not available any more.

Developing smart and reliable Electronic Control Units (ECU) and Software Platforms, jointly with TTTech Automotive, we deliver the innovative components to make highly-automated cars a reality. Curiosity and passion for high-tech innovation have made us part of the technological heart of complex field of autonomous driving and Advanced Driving Assistance Systems (ADAS). Work with us on enabling autonomous driving in the car in the near future!

Location: Belgrade

Your role:

• Development, Porting and Optimization of Computer Vision (CV) algorithms

• Development, Porting and Optimization of CNN algorithms

• Integration, Testing and Validation of CV and CNN algorithms on the target Linux (optionally QNX/FreeRTOS) environment for an automotive embedded platform

• Development according to ASPICE (optionally ISO2626) standards

• Team work according to agile methodology (SCRUM)

• Evaluation of cutting edge CV and CNN embedded accelerators


• University degree in computer technology or computer science

• At least 3 years (medior) or 5 years (senior) work experience in C/C++ development

• Understanding of software development for Linux OS, usage of tools and methods of work on Linux console

• Understanding of principles of operating systems, development of multithreaded applications, real time operating systems

• Good understanding of debug techniques

• Active use of English in spoken and written communication

• Orientation towards team work

• Initiative and independence in solving daily tasks

Preferred skills and knowledge:

• Usage and/or development of CV and CNN algorithms

• Experience with openCV

• Experience with autotools/CMake

• Knowledge of working with version control system: Git and Gerrit

• Experience with CNN and Caffe modeling and network training

If you do not have this knowledge, we will give you an

opportunity to master it.

We thank all the candidates that show interest in our company,

but only shortlisted candidates will be contacted.

For more information visit: