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【猎职位】中国最大的专业软件园区天府软件园 (II)

2018-3-30 13:00 |来自: 互联网 309 0

摘要: 两家天府软件园的企业还不能满足你的胃口? 没关系,继续为你送上另外两家企业的招聘信息! 记得带上你的简历4月15日来沃顿峰会哦~ 不见不散! 天府软件园的企业将参与: 沃顿峰会招聘会 时间:4月15日 18:00-20: ...


两家天府软件园的企业还不能满足你的胃口?

没关系,继续为你送上另外两家企业的招聘信息! 记得带上你的简历4月15日来沃顿峰会哦~ 不见不散!



天府软件园的企业将参与:


沃顿峰会招聘会

时间:4月15日 18:00-20:00

地址:Annenberg Center for Performance Arts,360 Walnut St., Philadelphia, PA 19104

参 与 企 业



3

Ygomi 宜高美


企 业 简 介



宜高美集团为全球企业服务,在定制软件研发及系统集成领域有超过45年的经验。


宜高美全球雇员近300人。宜高美成都公司是全球的研发中心,IT技术支持,和财务中心;为美洲,欧洲,亚洲等全球各个分公司提供技术支持和服务。


虽然宜高美是一个中型企业,但是灵活敏捷,并且能不断超越强大的竞争对手并赢得客户的青睐。


在宜高美成都分公司,工作氛围愉悦,员工互相信任,互相尊敬,不同背景经历的团队成员共同成长。



职 位 信 息


职位总览

Algorithm Engineer

DSP Engineer

C Senior Enginneer

Application Engineer


Algorithm Engineer(CV/SLAM)


Job description:

1. Working on frontier algorithm design such as SFM/SLAM;

2. 2D/3D 3D modeling based on vision and point-cloud;

3. Self-localization and scene reconstruction based on monocular camera;
4. Data fusion of multi-sensory such as laser, radar, GPS and video.


Requirments:
1. Master or PHD degree of Universities, major in computer vision, pattern recognition, picture processing, applied mathematics,etc;
2. Familiar with SFM/SLAM algorithm will be preferred;

3. Familiar with C,C ,Matlab and OpenCV or other tools;
4. With excellent theory foundation, familiar with robot, can handle academic research independently;

5. Published ** or won awards in the international conference or journal about computer vision, picture processing will be preferred;

6. Familiar with Ros open source system,with related project experience and can design robot control software based on Ros will be preferred.



Algorithm Engineer( Multi-Sensor Data Fusion, Vehicle Localization and Navigation)


Duties:
1. Analyze and understand sensor measurement data, develop the corresponding mathematical and statistical models for Global Positioning System (GPS) receivers, inertial measurement units (IMU),
odometer, and other sensor systems;
2. Develop algorithms to localize the vehicle using multi-sensor data in realtime;
3. Track and apply the latest algorithm improvements from industry and the research community;
4. Optimize performance of algorithms on CPU, GPU or other architectures.


Qualifications:
1. Master orPh.D. in Navigation/Automation/EE/CS/Math/Remote sensing or a related technical field;

2. Hands-on experience in inertial navigation, GPS navigation, vehicle trajectory modeling/simulation, estimation theory (e.g. Kalman Filtering, Particle Filtering);

3. Solid experience in Matlab/Python, C/C programming.


Preferred:

1. Experience in GIS R

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