Nvidia Senior Mapping Pipeline Engineer - Autonomous Vehicles 

United States, California 

115303090

What you'll be doing:

• Design and implement triggering systems and deploy containerized orchestration pipelines for distributed map creation, maintenance, and evaluation from crowdsourced vehicle data

• Develop map quality detection systems including automated hotspot detection algorithms and human-in-the-loop review workflows for large scale map validation

• Develop Python, C++, and JavaScript tools for map management, data validation, on-vehicle testing, and web-based geospatial visualizations

• Build C++ modules for on-vehicle map integration with perception, localization, and other consumers to ensure end-to-end validation of the maps' impact on driving performance

• Work with embedded systems and real-time constraints to optimize map consumption by autonomous driving software

• Collaborate with perception, planning, and operations teams to improve map quality and real-time driving performance

What we need to see:

• BS or MS degree in Computer Science, Software Engineering, or related field (or equivalent experience)

• 5+ years of proven experience building production data pipelines, distributed systems, mapping infrastructure, or map to vehicle integration

• Strong C++ programming skills for performance-critical algorithms, data processing tools, and on-vehicle software

• Strong Python programming skills for automation, workflow orchestration, and API development

• Proficiency with JavaScript for building web-based tools, visualizations, and internal dashboards

• Hands-on experience with Airflow or similar workflow orchestration frameworks

• Experience with Docker, Kubernetes, and cloud platforms

• Experience with Protocol Buffers, gRPC, and REST API design

• Excellent problem-solving skills and ability to debug sophisticated distributed and embedded systems

Ways to stand out from the crowd:

• Extensive experience with SD & HD mapping and autonomous vehicle software architectures

• Deep understanding of how maps are consumed by localization, perception, and planning systems in autonomous vehicles

• Deep knowledge of road topology generation, analysis, and graph partitioning algorithms

• Background with computer vision concepts pipelines (3D geometry, point clouds,structure-from-motion,COLMAP, SfM, visual odometry)

• Experience debugging and profiling performance on embedded platforms (NVIDIA Orin, Xavier, etc.)