Principal Software Engineer, Mapping - Autonomous Vehicles

We are looking for a passionate team member to build planet‑scale maps for self‑driving technology using crowdsourced data from millions of cars worldwide. The role involves computer vision, geometry, pose estimation, sensor fusion, and large‑scale systems to transform sparse perception signals and dense video clips into accurate and fresh maps that enhance automotive safety and performance. Responsibilities Build scalable mapping systems using crowdsourced perception data and multi‑camera video collected from a large fleet of vehicles. Develop 3D reconstruction, structure‑from‑motion, pose estimation, and multi‑view geometry algorithms for large‑scale road scene understanding. Create map fusion and change‑detection methods that handle noisy observations, dynamic scenes, imperfect localization, and achieve global consistency constraints. Build C++ production systems and offline pipelines that transform fleet data into reliable map products for self‑driving and driver‑support technologies. Invent evaluation methods to measure map accuracy, freshness, coverage, consistency, and downstream autonomy impact. Develop visualization, debugging, and triage tools to analyze reconstruction quality, map issues, localization errors, and fleet data gaps. Work closely with perception, localization, simulation, planning, and infrastructure teams to integrate crowdsourced maps into autonomous driving systems. Continuously improve the scale, fidelity, freshness, and reliability of maps built from real‑world fleet data. Qualifications 15+ years of experience or equivalent education in Computer Science, Robotics, Electrical Engineering, Mathematics, or related technical field. Strong programming skills in C++ and experience building production‑quality software systems. Solid foundation in 3D computer vision, geometry, multi‑view geometry, structure from motion, SLAM, pose estimation, or related areas. Experience with large‑scale sensor data including camera video, perception outputs, vehicle poses, GPS/IMU signals, lidar, radar, or map data. Ability to reason about coordinate frames, calibration, uncertainty, optimization, geometric consistency, and error propagation. Experience developing algorithms robust to noisy real‑world data, dynamic objects, occlusions, incomplete coverage, and long‑tail failures. Strong debugging and analytical skills, with the ability to inspect data visually, build metrics, and link system‑level failures to algorithmic root causes. Ways to Stand Out Experience building maps, localization systems, 3D reconstruction systems, perception systems, or sensor‑fusion pipelines for autonomous driving or advanced driver assistance systems. Background in large‑scale mapping, crowdsourced map construction, map fusion, change detection, map freshness, road topology, lane geometry, or semantic map generation. Benefits Base salary range: USD 272,000 – 431,250 (adjusted for location, experience, and internal parity). Eligible for equity and a comprehensive benefits package. Equal Opportunity Employer NVIDIA is committed to fostering an inclusive work environment and is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr NVIDIA