Principal Software Engineer, Mapping, Autonomous Vehicles

What you'll do

• Build scalable mapping systems using crowdsourced perception data and multi-camera video from a large vehicle fleet.
• Develop 3D reconstruction, structure-from-motion, pose estimation, and multi-view geometry algorithms for road scene understanding.
• Create map fusion and change-detection methods to handle noisy observations, dynamic scenes, and global consistency constraints.
• Build C++ production systems and offline pipelines to transform fleet data into reliable map products.
• Invent evaluation methods to measure map accuracy, freshness, coverage, and downstream impact on autonomy.
• Develop visualization, debugging, and triage tools to identify reconstruction quality issues and localization errors.
• Integrate crowdsourced maps into autonomous driving systems by collaborating with perception, localization, and planning teams.

What we're looking for

• Strong programming skills in C++ and experience building production-quality software systems.
• Solid foundation in 3D computer vision, 3D geometry, multi-view geometry, structure from motion, SLAM, or pose estimation.
• Experience working with large-scale sensor data including camera video, lidar, radar, GPS/IMU signals, and map data.
• Ability to reason about coordinate frames, calibration, uncertainty, optimization, geometric consistency, and error propagation.
• Experience crafting algorithms robust to noisy real-world data, dynamic objects, occlusions, and long-tail failures.
• Strong debugging and analytical skills to inspect data visually and connect system-level failures to algorithmic root causes.
• 15+ years of experience.
• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related technical field.