The market of computer vision is growing rapidly with the unprecedently changing digital landscape. It typically is an interdisciplinary field of study to develop practices that enable computers to see and contemplate the content of digital images such as photographs and videos. Today, computer vision is becoming more adroit at identifying patterns from images than the human visual cognitive system. Since industries seek to leverage the capabilities of this technology, businesses are actively looking for skills germane to computer vision.
Qualcomm, an American public multinational corporation, which designs, manufactures, and markets digital wireless telecommunications products and services. As an innovation leader in the area of integrated computer engineering career that power advanced mobile devices, the company is looking for a Computer Vision Engineer or Specialist. The selected candidate will be responsible.
Research and develop computer vision algorithms for mobile, automotive and XR applications with performance and power efficiency
• Define systems architecture for computer vision solutions including data flow, task partition, interface and systems interoperation.
• Design and implement C/C++ simulator for modeling the HW functions & processing pipeline. The simulator will be used for algorithms development, verification, and quality evaluation.
• Work on DSP or GPU optimization of computer vision algorithms
• Define a methodology for performance and power analysis and develop innovative technologies to reduce memory bandwidth, processing latency, power consumption
For this job position, candidates will need to meet some criteria, including 6+ years Systems engineering or related work experience; experience with computer vision and image/video processing; proficiency in C/C++; embedded system architecture including platform architecture, software stack, security and virtualization.
They also must have a strong background in image/video coding technologies; strong analytical and mathematical skills to develop new computer vision algorithms; knowledge of video codecs such as HEVC, H.264/MPEG-4, and more.
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