Chief Autonomous Navigation Engineer

1 week ago

Singapore beBeeVisual Full time $120,000 - $160,000
Key Roles

We are seeking a highly skilled Visual SLAM Engineer to lead the development of high-performance Visual-based Simultaneous Localization and Mapping (SLAM) solutions for autonomous robots.

Main Responsibilities:
  • Design and implement real-time Visual SLAM systems with optimal computational efficiency while maintaining high accuracy.
  • Deploy visual SLAM systems onto a fleet of autonomous robots ensuring reliable and robust performance across diverse environments.
  • Establish key performance metrics for SLAM and benchmark against industry standards.
  • Evaluate and integrate sensors such as RGB-D cameras, IMUs, and LiDARs for SLAM applications.
  • Collaborate closely with product teams to ensure optimal sensor placement for new products.
  • Research emerging SLAM and computer vision technologies to identify patentable innovations.
  • Maintain comprehensive documentation and lead knowledge-sharing initiatives.
  • Mentor junior engineers and uphold software engineering best practices through reviews and guidance.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field.
  • 3+ years of experience in Visual SLAM development in robotics or related industries.
  • Proficient with ROS/ROS2.
  • Proficiency in modern C++ and scripting languages (e.g., Python, Bash).
  • Strong understanding of Simultaneous Mapping and Localization (SLAM).
  • Solid knowledge in computer vision and sensor fusion techniques.
  • Familiar with open-source non-linear optimization libraries (e.g., GTSAM, Ceres, g2o).
  • Solid foundation in linear algebra, probability, and optimization techniques.

This is an exciting opportunity to work on cutting-edge technology and contribute to shaping the future of cleaning robots. If you're ready to take on challenges and push the boundaries of Visual SLAM, we encourage you to apply.

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