We are looking for passionate, AI-powered, engineers for the DRIVE Mapping team . Maps play important roles in localization, routing, and navigation. Maps offer redundancy for live sensor perceptions increasing the safety of the vehicle. In this role, you will help deliver the SD maps to all in-car consumers in the most efficient way. We are seeking the best engineers motivated about solving complex problems for self-driving cars with a background in software design, embedded software, working on real-time software and operating systems.
What Youll Be Doing:
Design and develop algorithms for map-based driving products
Architecture design for map provider, health monitors and data fusion with perception
Develop highly efficient in-vehicle code in C++14 or later
Design and integrate algorithmic solutions into the core of NVIDIA AV
Research, and develop transformer based models tailored for graphs
Implement evaluation frameworks to measure performance of large scale LLM s
Analyze and fine-tune SOTA pretrained models on domain specific datasets
Build automated map content analysis in Python, JavaScript or TypeScript
Create scalable and distributed map-building workflows
What We Need To See:
4+ years with BS in Computer Science or equivalent experience
Background in computer vision, 3D geometry and machine learning
Heavy AI user for day to day development (design, coding, review, and testing)
Hands on experience with tools like Claude CLI, Cursor, and other advanced code assistants
Strong prompt crafting skills: knows how to break problems down, provide context, and iterate with AI to reach robust solutions
Passion for robotics and autonomous vehicles
Ways To Stand Out From The Crowd:
Prior experience with any navigation maps such as NDS.Live, Open Street Maps (OSM) etc.
Software development on embedded or automotive platforms.
Knowledge of gRPC, Flat Buffers and Protocol Buffers
