Camera ISP (algorithm) Systems Engineer

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.

Responsibilities:  

The job responsibilities may include a subset of the following:

• Research and development for next generation camera features and image quality improvement for Mixed-reality platforms & AI-camera/video capabilities on mobile & smart glasses 

  
  
  

• 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 

  
  
  

Minimum qualifications:  

• Bachelors + 2yrs relevant experience, Master's + 1 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: 

• 2+ 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 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.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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