Senior Software Engineer - AV Components
AI in this role
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.
How we rate this
Senior Software Engineer - AV Components at NVIDIA rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
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- List these exact terms on your resume: Computer Vision. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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