Job Description

:Company: Qualcomm India Private LimitedJob Area: Engineering Group, Engineering Group
Systems EngineeringGeneral Summary: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 platformsResearch and develop power-efficient computer vision algorithms, deep learning architectures and models in computer vision for AI-enabled camera, video, AR/VR productsDeveloping or Optimizing image processing and computer vision algorithms for HW accelerationSupport 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 fieldBackground in digital image processing and computer vision fundamentalsBackground in depth estimation and optical flow algorithmsWorking knowledge with OpenCV and vision algorithms (feature detection/description and matching)Strong knowledge in data structures and working experience with C/C++ programmingPreferred qualificationsExperience developing practical deep learning algorithms using PyTorch, TensorFlowAcademic publications in computer vision research at top conferences and journalsEducational requirements:Required: Bachelor\xe2\x80\x99s in Computer science or Electrical & Computer EngineeringPreferred: Master\xe2\x80\x99s or PhD in Computer science or Electrical & Computer EngineeringKeywords:Computer vision, Machine learning, Image processing, Depth from stereo, Optical flowMinimum Qualifications: \xe2\x80\xa2 Bachelor\'s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
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Master\'s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
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PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email toAlthough this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm\xe2\x80\x99s toll-free number found for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.Qualcomm is an equal opportunity employer and supports workforce diversity.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact .

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