- Robot type
- Robot AI and Software
- Location
- Santa ClaraCaliforniaUSA
- Job type
- Software
- Posted
- Aug 28, 2026
Principal Software Engineer, Mapping - Autonomous Vehicles
Job description
We seek a passionate team member to build planet-scale maps supporting self-driving technology using crowdsourced data from millions of cars around the world. The role involves computer vision, geometry, pose estimation, sensor fusion, and large-scale systems. You will transform sparse perception signals and dense video clips into accurate and fresh maps. Our work helps autonomous vehicles understand the road with high-quality map priors. These maps improve driving performance, safety, and coverage. You will work with a diverse team of engineers in mapping, perception, reconstruction, localization, and autonomous driving. Together, we will deliver impact to customers worldwide.
Job responsibilities
- Build scalable mapping systems using crowdsourced perception data and multi-camera video collected from a vast number of vehicles.
- Develop 3D reconstruction, structure-from-motion, pose estimation, and multi-view geometry algorithms for large-scale road scene understanding.
- Build map fusion and change-detection methods that can handle noisy observations, dynamic scenes, imperfect localization, and global consistency constraints.
- Build C++ production systems and offline pipelines that transform fleet data into reliable map products used in 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 understand 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.
- Relentlessly improve the scale, fidelity, freshness, and reliability of maps built from real-world fleet data.
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