Design and development of camera image processing pipeline for Mobile/Automotive/XR /AR/Compute use cases Implementing algorithms on the target hardware and provide optimization to meet requirements in terms of Image quality , power, latency Development of Computer Vision ( CV ) and Machine Learning (ML) features 6 -15 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. Working experience in Image or Video Quality metrics development, Algorithm optimizations. 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 Strong knowledge of and experience in Camera Image Quality tuning. Experience in Linux camera sensor driver bring-up. Knowledge/Experience of 3A algorithms and Image Signal Processor (Camera Hardware) tuning experience. Experience with Objective Image Quality evaluation metric using tools like IMATEST, IQ Analyzer, etc. is a plus. Experience working in an Imaging Lab with various Test charts and lighting setups. Working experience with image/camera/Signal processing algorithms. Working experience with Android/Linux Camera/Embedded systems. Required: Bachelor degree in Computer Engineering, Computer Science, or Electrical Engineering. Preferred: Master degree/PhD in Computer Engineering, Computer Science, or Electrical Engineering /Electronics. 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.
