Qualcomm

AI Camera Systems Engineer

Remote Hyderabad, India
Machine Learning PyTorch TensorFlow Keras C++ Assembly Python
Description


Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

  • Job function: Camera Systems Engineer
    • 2-5 years of experiences in image processing/computer vision/camera domain.
    • Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow, Keras etc.)
    • Strong background in image and signal processing, statistics, and data analysis.
    • Developing machine learning algorithms for advanced imaging features
    • Strong programming skills and working experience in C/C++\ assembly programming skills, multithreading and RTOS/OS concepts\fundamentals and Python.
    • Strong debugging skills to debug complex system level issues.
    • Collaborate with cross-functional teams to design, implement and debug camera\multimedia features for mobiles.
    • Good analytical and problem-solving skills.
  • Responsibilities:
    • Development and productize camera essential features on Qualcomm chipsets for mobile
    • Influence camera HW architecture in Qualcomm chipsets
    • Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization.
    • Customer interaction to commercialize Qualcomm camera solutions.
    • Individual contributions and working with cross functional teams on camera essential features design/planning/execution/commercialization for future Snapdragon chipsets
  • Education requirements:
    • Required: Bachelor's/Master’s/PHd Computer Engineering and/or Electrical / Electronic Engineering
    • Preferred : Masters

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

    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 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.

    Qualcomm
    Qualcomm
    Artificial Intelligence (AI) Generative AI Machine Learning Manufacturing Natural Language Processing Predictive Analytics Software Telecommunications Wireless

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