What You Will Do:

• Develop computer vision and machine learning algorithms for creating and understanding of maps in dynamic environments

• Conduct research and development in computer vision, map understanding, semantic understanding of scenes, and related disciplines

• Collaborate with cross-functional teams to develop systems from prototypes to production

• Work at the intersection of traditional computer vision and machine learning to improve and enrich indoor robot maps

• Develop and deploy algorithms for desktop and embedded platforms, in C/C++ and other languages

To Be Successful You Will Have :

• State-of-the-art understanding of robotic perception, including multiple sensing modalities like 2D vision, 3D vision, LIDAR, etc.

• Exposure to modern machine learning

• Demonstrated experience in applications such as 3D reconstruction, 3D understanding of scenes, room layout estimation, depth estimation, point cloud processing, sensor fusion, calibration, or semantic segmentation

• Strong proficiency in C++ and Python and experience with ML frameworks (PyTorch, TensorFlow)

• Understanding of data structures, design patterns, and advanced programming techniques

• M.S. or Ph.D. in Computer Science or related fields

• Eight or more years of work experience in robotics, SLAM, or computer vision.

In Return You Can Expect:

• To work on exciting problems in computer vision and semantic maps, and deploy solutions to the world’s largest installed base of consumer robots

• Be an integral part of a team dedicated to building the next generation of robots

• Opportunities to continuously learn, collaborate with, and mentor our innovative and knowledgeable technical staff including leading scientists in computer vision, machine learning, and SLAM.

• An attractive salary package with good benefits

• Excellent career growth opportunities