Computer Vision Engineer
Velodyne LiDAR is exploding in size as the company is aiming to bring LiDAR sensor technology for self-driving cars to the market as soon as 2020. Velodyne is gearing up for mass production now! Help Velodyne’s team during this exciting time!
Job Summary
Velodyne LiDAR, Inc. is looking for a highly experienced candidate to work on SLAM (simultaneous localization and mapping). The successful candidate will collaborate with R&D personnel to develop and implement new algorithms, conduct experiments, and implement new features for LiDAR sensors.
Job Responsibilities
Conduct advanced research and product development for real-time 3-D SLAM using LiDAR sensor
- Strong background in computer vision, augmented/mixed reality, image processing, and related fields
- Expertise and Hands-on experience in computer vision especially in 3D SLAM, camera calibration, image/video-based modeling and object recognition, camera pose estimation
Job Requirements
- Experience in providing high level C/C++ or MATLAB models suitable for FPGA/ASIC hardware implementation.
- Solid understanding of core vision and estimation algorithms
- Strong research and problem solving skills.
- Excellent communication and teamwork skills.
- Proficient with C/C++, MATLAB,
- Experience with computer vision libraries (OpenCV)
- Experience with open source software related to SLAM
- Experience with research projects that are published in top venues (ICCV/CVPR/ECCV/ISMAR/VR, etc)
- Experience in real-time computer vision systems
- Preferably have experience with LiDAR and image/video sensor fusion
- A minimum of 7 year of experience developing computer vision solutions
Education Requirement
- Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering or equivalent engineering field with a focus on robotics