Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
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.
Responsibilities:
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
Minimum qualifications:
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.
Preferred qualifications:
Background in color science, and image signal processor pipelines
Knowledge/working experience in computer vision algorithms
Educational requirements:
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
Minimum Qualifications:
• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
Master’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year 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 to accommodationsupport
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.
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 Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .
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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