Panasonic R&D Center Vietnam

Tóm tắt công việc

To expand business activities in Vietnam, Panasonic R&D Center Vietnam is now looking for large number of potential candidates for position as AI/ Deeplearning/ Machine Learning Researcher with various attractive opportunities:
• Professional and friendly global working environment;
• Clearly defined long-term multi-career roadmap;
• Development & training opportunities: Oversea business trip, Japanese training, Technical training; Soft-skill training; etc.
• Attractive and competitive salary & bonus package depend on abilities, performance and competencies;
• Flexible working time that supports work-life balance (Core time: 9:00-16:00; 5 days from Monday - Friday/ week); Additional special holiday – up to 9 days.
• Well-protected with 24/7 personal accidental and medical care insurance;

* Responsibilities:
• Lead AI team to develop AI product/service of Panasonic
• Research and develop AI/Deep Learning/Machine Learning applications for various business (Automotive, Security, IoT, etc).
• Develop and optimize to deploy AI/Deep Learning/Machine Learning system into embedded system such as Jetson TX board.

• Vietnamese nationality;
• University degree or higher.
• Good programming skill in one of languages C/C++/C#/Python.
• Familiar with Computer vision/machine learning/deep learning or graphic programming (2D & 3D, OpenGL, Pointcloud, etc)
• Experiences with common frameworks (OpenCV, Caffe, Tensor Flow, etc).
• Software design skill (UML, Object oriented design).
• Team work, analysis, problem solving and logical thinking skill.
• Highly initiative, able to work in autonomous environment without the need for constant supervision.
• Language skills: English

* APPLICATIONS
Interested candidates are kindly invited to send your application (in English) by click on “Apply”/”Nộp đơn” button to send your application (Please ATTACH your application set).
Only CVs submitted via internet are accepted.

DEADLINE for application: As soon as possible
* Your applications will be treated on “First come, first serve” basis
* Only short-listed candidates will be notified.