System Software Integration Engineer

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Nvidia

Seamlessly integrate and optimize system software components for automotive applications.
Craft and maintain automation pipelines to streamline processes.
Dive deep into analysis, diagnosing root causes, and refining the product experience.
Collaborate globally with our engineering teams in the US, APAC, and Europe to deliver cutting-edge solutions to customers.
Focus on developing and testing infrastructure components to preempt issues before they impact vehicles.

Bachelor's or Master’s degree in an engineering field with over 5 years of experience as an ADAS software engineer at a Tier 1, OEM, or equivalent.
Exceptional problem-solving and analytical skills.
Proficiency in embedded systems, C/C++, and scripting languages (Python, Bash, etc.) with top-notch debugging abilities.
Solid grasp of embedded systems, real-time operating systems, ADAS sensor sets, and software integration principles.
Knowledge of Autosar (Adaptive and Classical).
Proficient in Linux and QNX environments.
Extensive knowledge of autonomous vehicle stack integration and firsthand experience in overcoming system challenges.
Knowledge of CI/CD topics , version control and Dockers.
Familiarity with vehicle architecture and communication protocols such as CAN, Flexray, and Ethernet.
Regular presence in the Sindelfingen/Stuttgart area. Flexibility in work hours.

Proven track record of series introduction of automotive projects, having contributed to a full OEM-based product currently on the roads.
First hand experience in customer-facing roles.
Familiarity with System in Loop and Hardware in Loop systems, including essential simulation tools.
Understanding of various OEM factory processes and requirements.
EU driver's license and advanced driving skills, including T2 certification for test driving prototypes.

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