B GARAGE

B GARAGE was founded in 2017 by two PhD graduates from Stanford University.. After having spent over five years researching robotics, computer vision, aeronautics, and drone autonomy, the co-founders set their minds on building a future where aerial robots would become an integral part of our daily lives without anyone necessarily piloting them.. The B GARAGE team is looking for an enthusiastic, proactive, and collaborative 3D computer vision/ perception engineer in mapping to support the launch of intelligent aerial robots and autonomously sustainable ecosystems.. M.S. degree in computer science, robotics, electrical engineering, or other engineering disciplines. Proficient in mapping, SLAM, and multiple view geometry using camera and lidar

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B GARAGE was founded in 2017 by two PhD graduates from Stanford University. After having spent over five years researching robotics, computer vision, aeronautics, and drone autonomy, the co-founders set their minds on building a future where aerial robots would become an integral part of our daily lives without anyone necessarily piloting them. Together, our common goal is to redefine the user experience of drones and to expand the horizon for the use of drones. The B GARAGE team is looking for an enthusiastic, proactive, and collaborative 3D computer vision/ perception engineer in mapping to support the launch of intelligent aerial robots and autonomously sustainable ecosystems. Roles and Responsibilities Design and develop mapping software for aerial robots Aid the autonomy team to deliver prototype and product in a timely manner Collaborate with other teams in the company Minimum Qualifications M.S. degree in computer science, robotics, electrical engineering, or other engineering disciplines 5+ year of work experience in computer vision or robotics Proficient in mapping, SLAM, and multiple view geometry using camera and lidar Proficient with ROS, C++, and Python Experience with robots operating on real-time onboard processing Self-motivated person who thrives in a fast-paced environment Good problem solving and troubleshooting skills Legally authorized to work in the United States Optional Qualifications Ph.D. degree in computer science, robotics, electrical engineering, or other engineering disciplines Experience with state estimation, visual-inertial odometry, graph optimization, and bundle adjustment Experience with computer vision libraries and GPU libraries Experience with simulation and field tests of aerial vehicles, specifically drones Publish research papers in CVPR, ICCV, ECCV, ICRA, IROS, etc. Company Benefits Competitive compensation packages Medical, dental, vision, life insurance, and 401(k) Flexible vacation and paid holidays Complimentary lunches and snacks Professional development reimbursement (online courses, conferences, exhibits, etc.) Compensation Range: $124K - $180K

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