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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