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.