Senior Mapping Engineer - Autonomous Vehicles

What you'll do

• Develop C++ modules for real-time map consumption by perception, localization, and planning systems.
• Optimize map parsing and query APIs under real-time constraints on NVIDIA platforms.
• Design low-latency interfaces for lane geometry and routing graph queries in autonomous driving software.
• Integrate cloud-generated maps with on-vehicle stacks to validate map quality and measure performance impact.
• Create Python and C++ tools for testing, validating, debugging, and profiling map data on vehicles.
• Support cloud mapping pipelines using Airflow, Python, and other tools for map generation and validation.

What we're looking for

• 8+ years of experience in developing in-vehicle firmware or map-to-vehicle integration for autonomous driving.
• Strong C++ programming skills for performance-critical embedded systems and real-time constraints.
• Proficiency in Python for tooling, testing, and automation in cloud mapping pipelines.
• Experience with embedded platforms like NVIDIA Orin, Xavier, QNX, and understanding of real-time operating environments.
• Deep knowledge of autonomous vehicle software architectures and map consumption by localization, perception, and planning systems.
• Expertise in debugging and profiling performance on memory-constrained embedded hardware.
• Understanding of SD & HD mapping data formats and experience with Protocol Buffers for efficient data serialization.