Job Information
Qualcomm Computer Vision Systems Engineer, up to Staff in Taipei, Taiwan
Company:
Qualcomm Semiconductor Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Qualcomm Computer Vision Systems group develops computer vision IP solutions for all of Qualcomm’s Snapdragon platforms including mobile, automotive, VR/AR. The team’s scope includes computer vision algorithm, architecture design and software implementation for CV solutions with power and performance optimization.
We seek Systems Engineers with demonstrable knowledge and hands-on experience in one or more of the following areas:
Define systems architecture for computer vision solutions including data flow, task partition, user interface, systems interoperation, test plan and quality closure.
Design and implement simulator for computer vision functions to be used for algorithm evaluation, hardware verification, and customer training
Define methodology for performance and power analysis and develop innovative technologies to reduce memory bandwidth, processing latency, power consumption
Collaborate with other teams to commercialize the technologies and provide strong customer support to enable the best visual analytics experiences
Qualifications
Required: Bachelors in, Computer Science and/or Electrical Engineering
Preferred: Masters or Doctorate, Computer Science, and/or Electrical Engineering
Minimum Skills
Working knowledge of visual signal processing, and computer vision
Strong analytical and mathematical skills to develop new computer vision algorithms
Proficiency in C/C++/Python or other programming languages
Experience with OpenCV library
Strong communication skills
Working Knowledge of Embedded systems and architectures
DSP/Neon/GPU optimization and multi-thread programming is a plus
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.
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