We are seeking a Senior Software Engineer to join NVIDIA's Autonomous Vehicle Map Team. The map is the spatio-temporal prior for on-vehicle driving models, enabling autonomous vehicles to continuously improve performance on frequently driven routes. In this role, you will architect and implement production-grade map processing solutions across cloud and edge environments spanning automated pipeline orchestration, quality detection systems, and on-vehicle consumer integration.We are looking for outstanding engineers passionate about building intelligent systems for self-driving cars, with expertise in software design, distributed systems, and workflow automation. If you're excited about building the infrastructure that enables human-level AI for navigation, this is your opportunity to make an impact.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 dataDevelop map quality detection systems including automated hotspot detection algorithms and human-in-the-loop review workflows for large scale map validationDevelop Python, C++, and JavaScript tools for map management, data validation, on-vehicle testing, and web-based geospatial visualizationsBuild 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 performanceWork with embedded systems and real-time constraints to optimize map consumption by autonomous driving softwareCollaborate with perception, planning, and operations teams to improve map quality and real-time driving performanceWhat 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 integrationStrong C++ programming skills for performance-critical algorithms, data processing tools, and on-vehicle softwareStrong Python programming skills for automation, workflow orchestration, and API developmentProficiency with JavaScript for building web-based tools, visualizations, and internal dashboardsHands-on experience with Airflow or similar workflow orchestration frameworksExperience with Docker, Kubernetes, and cloud platformsExperience with Protocol Buffers, gRPC, and REST API designExcellent problem-solving skills and ability to debug sophisticated distributed and embedded systemsWays to stand out from the crowd:Extensive experience with SD & HD mapping and autonomous vehicle software architecturesDeep understanding of how maps are consumed by localization, perception, and planning systems in autonomous vehiclesDeep knowledge of road topology generation, analysis, and graph partitioning algorithmsExperience 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.)NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous, and love a challenge, we want to hear from you. Come join our Autonomous Vehicle team and help us build the future of transportation!