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3 days ago
We are seeking a Principal Engineer with deep domain expertise in visual odometry, sensor fusion, SLAM, and AI-based perception to lead the development of real-world localization and mapping solutions.
About the RoleYou will work at the intersection of embedded sensing, robotics, and machine learning, helping create systems that can understand, navigate, and adapt to their environments autonomously — in factories, warehouses, vehicles, and beyond.
Responsibilities- Lead the design and deployment of SLAM, VIO, and multi-sensor fusion systems that enable robust, real-time mapping and localization across diverse environments.
- Drive algorithm development and evaluation for perception tasks, including pose estimation, depth reconstruction, loop closure, map optimization, and semantic understanding.
- Architect AI pipelines that combine classical and learned methods (e.g., CNNs, transformers, foundation models) for environmental understanding at the edge.
- Develop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.
- Collaborate cross-functionally with embedded, hardware, and systems engineers to bring scalable solutions from research to production.
- 10+ years of experience in robotics, computer vision, or AI, including 5+ years in SLAM, VO, or sensor fusion; with 3+ years in a technical leadership role.
- M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field.
- Demonstrated expertise in at least one of the following:
- Visual-inertial odometry (VIO)
- Multi-sensor fusion (camera, LiDAR, IMU, encoders)
- 3D SLAM and mapping in dynamic environments
- AI-based perception models for real-time localization
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