Computer Vision Systems (algorithm) Engineer

Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile 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 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. The team creates embedded imaging solutions for Snapdragon chipsets that power advanced mobile, automotive, IoT, and AR/VR devices. Successful candidates will be part of a systems and R&D team that develops embedded camera and imaging solutions, image signal processor (ISP), video codec hardware as well as advanced algorithms for computer vision and image/video processing. Responsibilities:  

The job responsibilities may include a subset of the following:  

• Develop and/or optimize depth estimation and optical flow algorithms, enabling critical use-cases across mobile, AR/VR and automotive platforms 

• Research and develop power-efficient computer vision algorithms, deep learning architectures and models in computer vision for AI-enabled camera, video, AR/VR products  

• Developing or Optimizing image processing and computer vision algorithms for HW acceleration 

• Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking. 

Required qualifications:  

• Bachelors + 3yrs relevant experience, Master's + 2yrs relevant experience or PhD degree in Electrical Engineering, Computer Science, and/or closely related field  

• Background in digital image processing and computer vision fundamentals   

• Background in depth estimation and optical flow algorithms 

• Working knowledge with OpenCV and vision algorithms (feature detection/description and matching)   

• Strong knowledge in data structures and working experience with C/C++ programming 

Preferred qualifications 

• Experience developing practical deep learning algorithms using PyTorch, TensorFlow 

• Academic publications in computer vision research at top conferences and journals 

Educational requirements: