NVIDIA-posted 5 days ago
Full-time • Senior
Us, CA
5,001-10,000 employees

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.

  • 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
  • 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
  • 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.)
  • equity
  • benefits
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