Senior Mapping Pipeline Engineer - Autonomous Vehicles

Nvidia•Santa Clara, CA

46d•$148,000 - $287,500

About The Position

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.

Requirements

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

Nice To Haves

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.)

Responsibilities

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