- Location
- Bengaluru, KA,IN, IN
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- PhD
- Source
- Eightfold
Description
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 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 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 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 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.
