Senior Mapping Pipeline Engineer - Autonomous Vehicles

Details

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.

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.

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.

Ways to Stand Out

• 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 pipelines (3D geometry, point clouds, structure-from-motion, COLMAP, SfM, visual odometry).
• Experience debugging and profiling performance on embedded platforms (NVIDIA Orin, Xavier, etc.).

Compensation & Benefits

• Base salary ranges by level:
  • Level 3: 148,000 USD - 235,750 USD
  • Level 4: 184,000 USD - 287,500 USD
• You will also be eligible for equity and benefits.

Additional Information

• Applications for this job will be accepted at least until November 10, 2025.
• NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.