Requirements

Bachelor's or Master’s degree in an engineering field, and at least 3 years of work experience in a related industry.
Good knowledge of embedded systems and C/C++ and a scripting language (Python, Bash, etc) to be proficient in operating a complex software stack.
Ability to work efficiently with Linux and QNX environments 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 a development and testing location in the greater Sindelfingen / Stuttgart area is required daily. Flexibility of work hours and willingness to travel around Europe to support testing in many locations.

Nice to Haves

Experience as ADAS software engineer at a Tier 1 or OEM.
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 require special training and license (T2).

Integrate ADAS functions and tune the software parameters to achieve the best customer experience.
Drive the roll-out onto the fleet across dozens of carlines.
Installing, trouble-shooting, and operating software.
Understand the quality standards and expected functionality of brand-new features. Align and report results to customers and the development organization.
Analyze & diagnose the underlying events contributing to these metrics, identify issues and help improve the product experience.

If you're passionate about autonomous vehicles, we would love to hear from you!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.