NVIDIA, Software Engineering Intern — Replay Tooling & Test Automation, Autonomous Driving

• Build a productized replay "run command" — a single, parameterized entry point that resolves automatically and without the need of expert knowledge to launch a run.
• Develop a direct bug-replay workflow that reproduces a reported issue straight from its recording and proves that an implemented fix is working as expected.
• Implement replay tests for the CI so it triggers on every new build drop and returns a clear pass/fail verdict, protecting releases from silent regressions.
• Work hands-on with large-scale recorded sensor data and a production autonomous-driving stack.
• Deliver foundational infrastructure that makes autonomous-driving software faster and safer to ship across NVIDIA's automotive customers.
• Support with vehicle and feature testing as needed onsite in Munich.

• Currently pursuing a MS, PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Robotics, or related technical field.
• Strong programming ability in Python and C++.
• Proven computer science fundamentals: data structures, algorithms, and clean software design.
• Comfort working on Linux and with Git-based version control.
• A self-directed builder's mentality— a track record of turning manual, ad-hoc processes into clean, reusable tools.
• Full professional proficiency in English (written and spoken).

Ways to stand out from the crowd:

• Background in autonomous driving, robotics, or sensor data (camera, lidar, radar).
• Experience with Bazel or other large Monorepo build systems.
• Comfort working on QNX.