2019-08-28
44次
Computer Vision Engineer
面议
深圳蓝胖子机器人有限公司
申请职位
基本信息
工作性质全职
职位类别C++
招聘人数若干人
学历要求硕士
工作经验不限
性别要求不限
年龄要求不限
招聘部门不限
工作地点深圳市南山区左炮台路2号赤湾石油基地H6-2库(广东/深圳/南山区)
联系方式
联系人:李夏宁
联系电话:企业设置不公开
职位动态
100%
近两周该职位的简历处理率
简历处理率
0天
简历平均处理时长
06-06 18:05
企业最近登录时间
职位描述
Job Description
1. Work with both 2D (RGB) and 3D (Depth) raw perception data.
2. Solve vision tasks including but not limited to the following:
- Vision sensor calibration (internal and external)
- Identifying and classifying objects, generating bounding boxes, segmenting objects, and generating object masks
- Measuring object sizes
- Estimating and tracking object poses
- Learning/scanning new objects quickly with surface reconstruction
- Identifying and reading barcodes
- Large-scale automatic data collection
- Efficient and autonomous data labeling
- Vision-based mapping, localization, and navigation
3. Program robots to perform the tasks listed above in various lighting conditions, with heavy occlusion, while robots/cameras are moving at high speeds.
4. The job might involve researching particular topics, reading papers, attending conferences, efficiently implementing algorithms for hardware, testing, debugging, parallelization, sourcing sensors and computing platforms, writing documents/papers, and generating patents.

Position Requirements
1. Background in computer vision, computer graphics, image processing, machine learning or other related fields
2. Very skilled in C++ and Python (knowledge and daily experience)
3. Solid knowledge of computer vision with experience of turning theories into practical programs.
4. Very skilled with vision libraries: OpenCV, PCL, etc.
5. Very skilled with deep learning frameworks: Tensor Flow, Keras, etc.
6. Skilled with machine learning techniques, especially deep learning, reinforcement learning, and transfer learning.

Preferred Qualifications
1. Published author in Computer Vision and Graphics journals and attended conferences such as CVPR, ICCV, SIGGRAPH, etc.
2. Experienced in programming, robotics, or vision algorithm challenges, e.g. ILSVRC
3. Strong experience in any of the following areas:
- Image detection and segmentation
- Scene comprehension
- Image captioning
- Video analysis
- Multi-object pose estimation
- RGB-D segmentation
- 3D reconstruction
- Motion tracking
- Large-scale datasets creation
- Multi-cluster GPU training
- Open source project collaboration
- Blogging/writing about computer vision or robotics
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