Software Engineering Intern — Replay Tooling and Test Automation - Autonomous Driving

NVIDIA Gruppe; München; Vor Ort; EUR 17.000 - 23.000; Vollzeit

Zusammenfassung

NVIDIA Munich is offering an on-site internship focused on building tooling to replay recorded drives for autonomous-driving software. You will work with large-scale sensor data and a production stack, turning manual processes into automated, reusable tools.

This six- to twelve-month internship requires pursuing a MS or PhD in related fields, strong Python/C++ skills, and English proficiency. Start date is as soon as possible and you will be based in Munich.

Qualifikationen

• Pursuing a MS or PhD 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.
• Full professional proficiency in English (written and spoken).

Aufgaben

• Build a productized replay run command for automated launches.
• Develop a direct bug-replay workflow from recording to confirm fixes.
• Implement replay tests for CI to catch regressions on new builds.
• Work hands-on with large-scale recorded sensor data and autonomous-driving stack.
• Deliver foundational infrastructure to ship autonomous-driving software faster and safer.
• Support vehicle and feature testing onsite in Munich.

Kenntnisse

Python

C++

Linux

Git

Algorithms

Clean code

English

Self-directed

Ausbildung

MS/PhD in Computer Science / Electrical Engineering / Robotics

Tools

Bazel

QNX

Monorepo build systems

Jobbeschreibung

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Replay of recorded drives is how NVIDIA's autonomous-driving software is debugged, regression-tested and validated. Re-running recorded drives through the ADAS software on x86 instead of putting a car back on the road. This internship builds the tooling that turns replay from an expert-only, manual process into automation the whole team relies on.

This is an on-site internship at NVIDIA’s Munich office, with a minimum duration of six months (12 months preferred) and a preferred start date as soon as possible.

What you'll be doing:

• 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.

What we need to see:

• Currently pursuing a MS or PhD 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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/