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מעל 80,000 משרות • 4,000 חדשות ביום
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חברה בתחום תקשורת וסלולר

חיפה

חברה בתחום תקשורת וסלולר

חיפה
מלאה

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.

Primary Function:

Develop and implement innovative algorithms and architectures for video processing and computational photography.

Define flows utilizing multitude of imaging and auxiliary sensors to provide best-in-class video processing solutions for digital cameras.

Define novel HW modules for improved performance of video processing and computational photography solutions.

Requirements:
Minimum Qualifications:
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

Required qualifications:

Energetic and proactive.

Excellent communication and interaction skills.

Capable of leading, directing and collaborating between multidisciplinary teams.

Independent and capable of self-study.

Knowhow and interest in image processing / video processing / computer vision.

Good knowledge and experience in programming: C/C++, Python and MATLAB.

4+ years of experience with image and video processing or related field.

Knowhow and experience in SoC, HW architecture and HW/SW system flows - advantage.

Knowhow in depth estimation, depth processing and related applications - advantage.

Knowhow in machine learning / deep learning / artificial intelligence - advantage.

Preferred Formal Education:

BSc in Electrical Engineering or Computer Science or related field.

MSc or PhD in the field of image processing / computer vision advantage.

This position is open to all candidates.