Software Engineering Intern, Test Automation — Autonomous Vehicles

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.