Company
Qualcomm Semiconductor Limited
Job Area
Engineering Group, Engineering Group > Systems Engineering
General Summary
We seek a passionate engineer with in-depth knowledge on camera ISP algorithm to join the Camera Systems team.
Responsibilities
The Camera Systems team creates embedded imaging solutions for Snapdragon chipsets that power advanced mobile devices, next-generation mobile photography and video experiences. Our solutions leverage dedicated hardware, ISP, multi-core processors, DSP, and GPU cores to provide state-of-the-art photographs, video recordings, as well as scene data for image understanding and object detection. Responsibilities include the following:
- Research and development of advanced ISP algorithm to achieve best camera image quality.
- Design of camera systems that balance power, memory, silicon area to maximize imaging performance.
- Prototype and validating solutions on embedded platforms for proof of concept and demonstration purposes.
- Collaborating with cross-functional teams to deploy robust and efficient imaging solutions into commercial products.
- Deployment and tuning support of solutions that improve the mobile imaging experience.
- 50%70% workload for customer support; 20% onsite availability for business travel across APAC and China.
Qualification
5+ years working experiences in the following areas:
- Must be experienced with classical image processing algorithms development.
- Camera and image processing technologies.
- Image signal processor pipeline design.
- Excellent analytical and problem-solving skills
- C, C++, Python, Matlab.
Preferred Qualifications
- Experience with Camera ISP HW algo development.
- Experience with using a mix of traditional image processing techniques and machine learning
- Experience with different types of sensors and algorithms for sensor and optics processing
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
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