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Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
5+ years of experience in the embedded domain to design, develop and support software solutions on multi-core ARM/CPUs, Strong C/C++ programming skills.
Embedded Platforms experience including low-level firmware, kernel and user-space components.
Design and development of software for heterogeneous compute platforms consisting of ARMs, GPUs, DSPs, and specialized hardware accelerators in an embedded SoC systems with J-TAG or ICE debuggers;
Experience in camera stack development for embedded products is mandatory .
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Motivated self-starter with excellent verbal and written communication skills, demonstrated ability to work with engineers/partners/customers across different geographies.
Working knowledge of MIPI-CSI-2 and PHY specification;
Working experience with bus protocols such as I2C/SPI Experience in driver design and implementation with multiple camera vendor sensors such as - Sony, Aptina, OmniVision; V4L2 Experience with FPDLINK serializer/deserializers, CVBS, analog cameras;
Familiarity with camera imaging pipeline such as 3A (focus/white balance/exposure), HDR, color correction, etc., is a plus. Experience in video processing pipeline implementation for media applications (playback, capture, transcoding, streaming, voice call, etc.).
Exposure to Video pre- and post-processing algorithms, motion compensation & estimation, deinterlacing, etc., for
Subjective quality enhancement is a plus. Knowledge of computer vision, Video Analytics (facial recognition, object recognition), streaming and networking protocols such as RTP, RTSP, HLS, Adaptive Bit Rate Streaming, HTTP, UDP, Bluetooth protocol. is a plus.
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.
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