Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, automotive, IoT, and XR devices. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. Join Qualcomm India and become part of the multimedia systems team that innovates to bring the higher performance and quality on mobile, IoT and AR/VR platforms. The Camera Systems team creates embedded imaging solutions for Snapdragon chipsets, leveraging dedicated hardware, multi-core processors, DSP, and GPU cores to provide state-of-the-art photographs, video recordings, photo-realistic video see-through (for immersive mixed reality), as well as scene data for image understanding and object detection.
The job responsibilities may include a subset of the following:
Prototype solutions on mobile/XR platforms for proof of concept and demonstration purposes
Developing and/or Optimizing image processing and computer vision algorithms for HW acceleration
Design of camera systems that balance power, memory, silicon area to maximize imaging performance
Bachelors + 3yrs relevant experience, Master's + 2 yrs relevant experience or PhD degree in Electrical Engineering, Computer Science, and/or closely related field
Background in digital signal & image processing, image quality tuning
Background in CMOS sensors and algorithms for sensor and optics processing
Background in multi-camera system design including at least one of following subjects: temporal synchronization, image fusion, depth estimation, dual-camera calibration
Working knowledge with C, C++, Matlab, Python
Preferred qualifications:
5+ years working experience in signal/image processing and/or computer vision
Experience in XR related imaging/perception problems, and/or automotive perception is desired
Working knowledge & experience with modern machine learning techniques
Academic publications in image processing & computer vision research at top conferences and journals
Educational requirements:
Required: Bachelor’s in Computer science or Electrical & Computer Engineering
Preferred: Master’s or PhD in Computer science or Electrical & Computer Engineering
Keywords: Image Processing, Camera, ISP, Optimization, Computer Vision, Mixed reality, Machine learning
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
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