As one of the leading automotive suppliers worldwide, we develop products and solutions to fulfill people´s dreams of mobility every day. Driver safety, comfort, sustainability and industrialization of future technology are just some of our key fields where we already make a meaningful difference in people`s lives. Knowing our innovations help to make the world a better and safer place is what drives us.
JOB DESCRIPTION
To be part of our team means to participate in the development process of the products and the systems based on intelligent Cameras and Radars that can “see” and collect details of the traffic in the surrounding area of the vehicles. Those sensors contain powerful processing elements that run algorithms through which a high volume of information gathered from the traffic is analyzed and translated into actions and decisions, having as the final goal to protect the lives of passengers and pedestrians alike. You will collaborate with a strong international team and see the impact of your work on streets around the globe.
In your day to day job you will:
Develop the software environmental model for automated driving
Analyze and improve existing environmental model algorithms and develop new ones
Analyze the potential issues and derive corrective actions
University Degree (i.e. Electronics, Telecommunications, Computer Science)
Knowledge of C/C++ programming language
Fluent in English
Would be a plus
Knowledge of Python programming language
Understanding of machine learning and neural networks
Versioning tools knowledge
Knowledge of SW development life cycles
Automotive experience
WHAT WE OFFER
A dynamic team in a globally active organization
Competitive pay and a comprehensive benefit package
Professional development opportunities
Flexible working hours and mobile work (4 days per month)
Private health Insurance
Fitpass premium
If you are interested in this job position, you can send us your resume and letter of application in English language via poslovi.Infostud.com. Application deadline is 05.10.2019. Only short listed candidates will be contacted.
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