Senior AI Camera Systems Engineer
This role involves developing and productizing camera features on Qualcomm chipsets for mobile devices. The engineer will collaborate with various teams to design, implement, and debug camera and multimedia features. Responsibilities include influencing camera hardware architecture, interacting with customers, and contributing to the design and commercialization of future Snapdragon chipsets. The engineer must possess strong programming skills in C/C++ and experience with machine learning frameworks.
Must have: - 2-4 years experience in image processing/computer vision/camera domain.
- Experience with machine learning frameworks (PyTorch, TensorFlow, Keras).
- Strong experience developing object detection/tracking/face detection algorithms.
- Strong background in image/signal processing, statistics, and data analysis.
- Strong programming skills in C/C++ and Python.
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
- 2-4 years of experiences in image processing/computer vision/camera domain.
- Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow, Keras etc.)
- Strong hands on experience on developing object detection, tracking or face detection algorithms.
- 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.
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