Senior SLAM Engineer
- Design and implement state-of-the-art SLAM algorithms for real-time localization and mapping using multi-modal sensor inputs (e.g., cameras, IMUs, GPS, wheel encoders).
- Develop robust online and offline state estimation methods for complex urban and highway environments.
- Focus on 3D geometric vision problems such as VSLAM, VIO, SfM, and scene reconstruction.
- Implement robust motion estimation, feature matching, loop closure, and map optimization pipelines.
- Apply non-linear optimization and filtering techniques (e.g., bundle adjustment, graph SLAM, EKF) to maximize system accuracy and robustness.
- Collaborate with sensor calibration and perception teams to improve system performance and consistency.
- Evaluate and benchmark system performance using large-scale datasets and real-world driving scenarios.
- Contribute to system integration, continuous validation, and deployment of SLAM modules on autonomous vehicle platforms.
- Mentor junior engineers and contribute to technical leadership within the team.
- PhD degree in computer vision, robotics, or a related field is a plus
- Minimum of 2 years of industrial or postdoctoral experience in SLAM, localization, or robotic perception
- Deep theoretical and practical understanding of SLAM systems, 3D geometry, and sensor fusion
- Hands-on experience with real-world datasets and deployment of SLAM pipelines in field environments
- Proficiency in modern C++ and Python, with strong software engineering practices
- Experience with optimization libraries (e.g., g2o, Ceres Solver) and robotics frameworks (e.g., ROS)
- Experience in large-scale autonomous driving or robotics system development
- Familiarity with sensor modeling and calibration for cameras, IMUs, GPS, and wheel encoders
- Expertise in real-time performance optimization, multi-threading, and hardware acceleration (GPU, SIMD)
- Contributions to open-source SLAM libraries or publications in top-tier conferences (e.g., ICRA, CVPR, RSS)Experience with mapping infrastructure, map maintenance, and life-long localization
- Strong communication skills and ability to collaborate across multidisciplinary teams
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