Step into the future with NVIDIA, a global leader in AI computing, data science, and graphics, driving innovation in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles. Our team of visionaries is reshaping industries worldwide with cutting-edge technologies. Join us on an exhilarating journey as a Systems/Software Integration Engineer, where you'll fuse our ADAS software stack with OEM applications, witnessing your creations hit the road in real-time. NVIDIA is synonymous with innovation, boasting trailblazers who are shaping the world with their forward-thinking approaches. This is your chance to be part of a vibrant community that's redefining the technological landscape. Ready to shape the future of automotive technology with NVIDIA? Apply now to be part of a team that's revolutionizing the industry and driving innovation to new heights. Your potential awaits!

This role involves regular on-site activities with NVIDIA customers in the Stuttgart area. The selected candidate is expected to be based in or near Stuttgart and available to work on-site as required.

What You'll Be Doing:

• 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.

What We Need To See:

• 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.

Ways To Stand Out From The Crowd:

• 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.