Senior Software Engineer, Mapping - Autonomous Vehicles
About The Position
Nvidia DRIVE platform offers solutions to build safe, scalable, AI-enabled Autonomous Vehicles. The end‑to‑end full stack platform spans from in‑car supercomputers to cloud‑scale training and simulation. Our goal is to ship cars that continuously learn and improve, bringing the future of self-driving to today’s roads. 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. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
Requirements
- 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
Nice To Haves
- 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
- Experience with GPGPU programming (CUDA)
Responsibilities
- 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
Benefits
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
