Engineer - Camera Systems – ISP/3A/IQ/CV
Qualcomm
Hyderabad
2d ago

Company :

Qualcomm India Private Limited

Job Area :

Engineering Group, Engineering Group >

Job Overview :

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives.

But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products.

This is the Invention Age - and this is where you come in.

GENERAL SUMMARY

Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices. Qualcomm Multimedia Camera System group creates embedded camera and imaging solutions for Qualcomm chipsets that power todays most advanced mobile devices.

With dedicated hardware, multi-core processors and GPU, QCT imaging solutions achieve state of the art video / photo quality and also target applications requiring auto white balance, auto exposure control, auto focus, automatic scene detection and compensation.

Join Qualcomm India and become part of the growing multimedia systems team that innovates to bring the higher performance on mobile multimedia capabilities at the lowest power consumption and device cost, while providing the strongest feature differentiation.

We are seeking system engineers for our cutting-edge efforts in areas related to camera / image processing. Successful candidates will be part of a systems team that develops embedded camera and imaging solutions, image signal processor (ISP), advanced 3A algorithms ( Auto Exposure, Auto Focus and Auto White Balance ), Computer Vision Solutions for camera / image processing as well as integration with other technologies including motion sensors, video encoders, DSPs, GPU and display.

Responsibilities : The job responsibilities may include a subset of the following :

  • Designing camera / image processing, 3A algorithms for mobile devices
  • Designing and evaluating algorithms to be implemented in hardware on software prototypes
  • Implementing algorithms on the target hardware and provide optimization to meet requirements
  • Identify and improve existing algorithms for better user experience
  • Development of Computer Vision ( CV ) and Machine Learning ( ML ) features
  • Required : Bachelor degree of Computer Engineering, Computer Science or Electrical Engineering

    Preferred : Master degree or P.hD. in Computer Engineering, Electrical / Electronics Engineering

    Mastersin ECE or EE(Image / Camera / Video processing, Computer vision areas)

    Ph.D. in ECE or EE(Image / Camera / Video processing, Computer vision areas)

  • 2-12 years of experience in multimedia / embedded technologies
  • Solid knowledge of Digital / image processing.
  • Working experience with image processing algorithms. Background in color science and image signal processor pipelines is a plus.
  • Knowledge / working experience in computer vision algorithms
  • Exposure or working experience in Camera, Video or Multimedia accelerators
  • Background in machine learning and working experience with machine learning framework / packages (e.g, TensorFlow, Keras, PyTorch etc.)
  • Experienced working with real time / embedded systems is a plus
  • Experienced in development of driver and frameworks for multimedia systems including camera, audio, video, display and graphics is a plus
  • Programming skills in C / C++, MATLAB, Python
  • Working experience with image / camera / Signal processing algorithms.
  • Working experience in Computer Vision(CV) Features, Machine Learning
  • Experience in Image or Video Quality analysis, Metrics or Architectures
  • Working experience with Android / linux Camera / Embedded systems
  • Minimum Qualifications

    Education :

    Bachelors - Computer Science, Bachelors - Engineering, Bachelors - Information Systems

    Work Experiences : Certifications :

    Certifications : Skills :

    Skills :

    Preferred Qualifications

    Education : Work Experiences :

    Work Experiences : Certifications :

    Certifications : Skills :

    Skills :

    Object-Oriented Programming (OOP), Software Development Lifecycle (SDLC)

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