Senior Software Engineer - AV Components

NVIDIA; München; Vor Ort; EUR 110.000 - 150.000; Vollzeit

Zusammenfassung

NVIDIA is seeking a Senior Software Engineer to advance the autonomous driving AV stack across perception, mapping, planning and control, bringing features from prototype to production in a production environment.

The role requires strong C/C++ and QNX/Linux expertise, collaboration with OEM partners and global teams, and the ability to travel within the EU for vehicle testing as needed.

Qualifikationen

• Proven experience with C/C++ in real-time embedded or control systems.
• Strong knowledge of QNX and Linux for production software.
• Deep AV stack expertise: Perception, Mapping, Planning & Control.
• Ability to communicate across global teams and with OEMs.
• Proactive, self-driven with ownership mindset.
• Willingness to travel within the EU and internationally for testing.

Aufgaben

• Design, develop, optimize components of NVIDIA's AV stack and integrate on OEM platforms, taking features from prototype to production performance.
• Evaluate and tune feature performance across carlines, platforms, regions, ODDs, and sensor configurations.
• Triage complex feature issues using simulation, logs, and diagnostics to drive end-to-end resolution with customer teams.
• Develop AI-assisted tools for large-scale replay, KPI evaluation, issue classification, root-cause analysis, and regression detection.

Kenntnisse

C/C++ programming

QNX/Linux real-time systems

AV stack components

Cross-functional collaboration

Travel for testing

Ausbildung

BS/MS/PhD in CS/EE/Robotics/Math/Physics

Tools

QNX

Linux

Jobbeschreibung

At NVIDIA, we are building the next generation AI-native autonomous driving architecture — combining classical safety stacks, foundation models, and scalable AI systems into a unified production platform. Autonomous driving is entering a new era. The next generation of AV systems will not be purely classical stacks, nor purely end-to-end neural networks. The future lies in the deep integration of classical architectures and large-scale AI-driven systems. If you have the drive to build the future of autonomous systems over the next decade, this is the place!

We are looking for a Senior Software Engineer who will work on state-of-the-art autonomous vehicle technologies in AI / deep learning, computer vision, mapping, prediction, and vehicle control. You will be responsible for developing, maintaining, and integrating components of AV stack. In this role, you will be working with cross-functional teams within NVIDIA as well as OEM partners locally.

What You’ll Be Doing:

• Design, develop, optimize components of NVIDIA's AV stack and integrate on OEM platforms, taking features from prototype to production performance.

• Evaluate and tune feature performance across OEM carlines, platforms, regions, ODDs, and sensor configurations, ensuring that KPIs reflect real-world performance.

• Triage complex feature issues, identify root causes using simulation, replay tools, vehicle logs, and on-vehicle diagnostics and drive end-to-end resolution in collaboration with customer engineering teams.

• Develop AI-assisted tools for large-scale replay, KPI evaluation, issue classification, root-cause analysis, and regression detection

What We Need To See:

• BS/MS/PhD or equivalent experience in Computer Science, Electrical Engineering, Robotics, Mathematics, Physics, or a related field, with 5+ years of relevant industry experience.

• Strong C/C++ and QNX/Linux skills, including modern C++, data structures, debugging, software design, and performance optimization in real-time embedded/control systems

• Deep expertise in one or more components of AV stack — Perception, Mapping, Planning & Control

• Ability to communicate clearly and collaborate effectively across global teams and more importantly with OEM partners

• A proactive, self-driven, owner mindset.

• Travel within EU and internationally for vehicle testing and OEM collaboration as needed

Ways to Stand Out from the Crowd:

• Experience delivering one or more components of production grade AV stack: Perception, Fusion, Mapping, Planning & Control

• Hands-on deep learning experience — model training, evaluation, and optimisation under production-grade deployment constraints.

• Advanced control theory — classical, nonlinear, MPC, or optimal control — applied to real vehicle behavior.

• Certified test driver experience in Europe

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to outstanding growth, our elite engineering teams are fast-growing fast. If you're a creative test engineer with a sincere real passion for technology, we want to hear from you.