Related skills
python computer vision slam structure from motion vslamπ Description
- Define and lead CV-based mapping for vehicle mapping and localization
- Develop methods to monitor environment changes and update maps
- Integrate visual maps with LIDAR maps to create fused world maps
- Productionize and deploy CV solutions onto autonomous vehicle fleets
- Collaborate with LIDAR localization and perception teams to improve on-road performance
- Hybrid schedule with in-office time at Boston, Pittsburgh or Las Vegas, or remote
π― Requirements
- Geometric computer vision: camera models, calibration
- VSLAM, structure from motion, visual-inertial SLAM
- 3D CV solutions for AV/AR/robotics
- Masters/PhD in CS or equivalent industry experience
- 7+ years of professional software engineering
- Strong C++ programming and software engineering principles
π Benefits
- Medical, dental, vision, 401k with company match
- Health savings accounts, life and pet insurance
- Diversity and inclusive culture with growth opportunities
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