- Location
- Germany, Munich
- Type
- Internship
- Department
- Engineering
- Seniority
- Internship
- Education
- PhD
- Source
- Workday
Description
NVIDIA is powering the AI revolution. One of the most exciting applications of our AI capabilities is in Autonomous Driving. Autonomous vehicles demand the highest standards of safety and reliability — and the test infrastructure behind them must match that bar.
We are looking for a highly motivated intern to join our ADAS Engineering team, with a focus on automating testing workflows for validation of ADAS Software on the test-benches and accelerating triaging of issues through intelligent log analysis. You will work alongside a world-class team of engineers to build the tools and frameworks that make our ADAS validation pipeline faster, smarter, and more scalable.
What You'll Be Doing:
Designing and implementing automated test frameworks for ADAS functions, focusing on automating the workflow to test ADAS on the test- benches
Building automated log analysis pipelines based on cutting edge LLMs to parse, classify, and triage relevant failures from in-vehicle and simulation runs — reducing manual triage time
Developing scripts and tools to detect regressions, anomalies, and performance degradations across large volumes of test logs and sensor data
Integrating test automation tooling into existing CI/CD infrastructure to enable continuous validation of ADAS software changes
What We Need to See:
Pursuing a Master's or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or Robotics
Strong Python programming skills; experience writing production- quality scripts for data processing or test automation
Familiarity with Linux-based development environments and shell scripting (Bash)
Experience with version control systems such as Git and GitLab
Analytical mindset with the ability to work through ambiguous failure scenarios and communicate findings clearly
Ways to Stand Out from the Crowd:
Prior exposure to test automation frameworks
Experience with C++ in an embedded or automotive software context
Familiarity with automotive data formats (e.g., MDF, ROS bags) or in-vehicle bus protocols (CAN, Ethernet)
NVIDIA is widely considered to be one of the technology world's most desirable employers. We are at the forefront of AI, autonomous systems, and high-performance computing — and our ADAS team sits at the intersection of all three. If you are passionate about making autonomous vehicles safer and smarter, we want to hear from you.
