Engineer, Staff- Computer Vision/Image Processing

• 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

• Title: Staff Engineer
• Job function: Multimedia Systems Engineering

Skills/experience:

• Recent and relevant experience required in one or more of the following areas:
  • 9+ years of experiences in image processing/computer vision/video domain.
  • Good understanding of image processing and computer vision fundamentals.
  • Hands-on experience in developing middle layer sw for Android/Linux.
  • Hands on experience developing and porting imaging algorithms algorithms to DSP/ARM-Neon
  • Hands on knowledge\experience on camera/computer vision pipeline, development, porting, and optimization.
  • Hands-on experience implementing machine learning algorithms on embedded platforms(C/C++).
  • Hands-on experience with machine learning framework/packages (e.g, TensorFlow, Keras, PyTorch etc.)
  • Solid C\C++\assembly programming skills, multithreading, and OS concepts\fundamentals.
  • Collaborate with cross-functional teams to design, implement, and debug CV\multimedia features for mobiles.
  • Good analytical and problem-solving skills.

• Responsibilities:

• Prototyping and deploying state of the art computer vision algorithms on Qualcomm heterogenous compute platforms.
• Development and productize various CV solutions on Qualcomm processors for mobile and XR projects
• Enhance CV, imaging solutions and help with imaging hardware subsystem enhancements in future Qualcomm Mobile Processors
• Design of CV, imaging features and work with a wide set of teams across the company (systems, software, hardware, etc.) in the productization
• Customer interaction to commercialize Qualcomm CV solutions.

• Education requirements:
  • Required: Masters Computer Engineering and/or Electrical / Electronic Engineering
  • Preferred: PhD in Computer Engineering and/or Electrical / Electronic Engineering (focus on Image processing, Computer vision, Machine learning)