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Supporting the integration, adaptation and testing of NVIDIA vehicle automation software in customer vehicle variants.
Installing, trouble-shooting and operating software.
Collect test data or tune parameters live in-car.
Understand the quality standards and expected functionality of brand-new features.
Analyze & diagnose the underlying events contributing to these metrics, identify issues and help improving the product experience
Bachelor's or Master’s degree in an engineering field, or 1-2 years of relevant work experience.
Good knowledge of embedded systems and C/C++ and a scripting language (Python, Bash, etc) to be proficient operating a complex software stack.
Ability to work efficiently with Linux environment on the command line.
Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills, soft skills for customer interaction.
Passion for working on cars, autonomous driving or software engineering.
Onsite attendance in one of the development and testing locations is required daily.
Flexibility of work hours and willingness to travel around Europe to support testing in many locations.
Internship experience as ADAS software engineer at a Tier 1 or OEM.
Hands-on experience with BlackBerry QNX
Well-rounded knowledge of how an autonomous vehicle stack (or similar large system) works, and practical experience dealing with the challenges in integrating many components into one solution
Understanding of vehicle architecture and communication protocols (CAN, LIN, Ethernet).
EU driver license and advanced driving skills for test driving prototypes that requires a special training and license (T2)
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