Qualcomm India Private Limited
Engineering Group, Engineering Group > Systems Engineering
Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, automotive, IoT, and XR 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 multimedia systems team that innovates to bring the higher performance and quality on mobile, IoT and AR/VR platforms. We are seeking experienced system engineers for our cutting-edge efforts in the imaging algorithms based on signal processing and machine learning techniques. 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.
Key job responsibilities may include a subset of the following:
Explore/Train efficient object/face detection architectures for range of embedded platforms
Work on training strategies and supporting deployment and commercialization for the machine learning features
Work on system and algorithmic design changes to improve machine learning inference speed
Bachelor's OR Master’s degree in Science, Engineering, or related field, with 3+ years’ strong working experience in machine learning and deep network architectures
Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow, Kerasetc.)
Background in object detection, image processing, statistics, and data analysis.
Strong programming skills and working experience in C/C++ and Python.
Background in color science, and image signal processor pipelines
Knowledge/working experience in computer vision algorithms
Required: Bachelor’s in Computer science or Electrical & Computer Engineering
Preferred: Master’s or PhD in Computer science or Electrical & Computer Engineering
Keywords: Machine learning, Image Processing, Face detection, Camera, ISP, Optimization, Computer Vision
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
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Although 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’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) 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.
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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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