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Strong employer brand and metro location raise competition, but niche computer-vision embedded skillset limits applicant pool.
Embedded computer-vision and ISP pipeline focus increases domain specificity, reducing cross-industry transferability.
Explicit seniority plus domain-specific CV, fixed-point and C/C++ implementation requirements create strict filters.
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Develop and optimize cutting-edge computer vision algorithms for embedded camera and imaging solutions.
Build fixed-point implementations and C/C++ models for image processing modules targeted at hardware.
Balance algorithm complexity with quality and performance for real-world analytical tasks in image processing.
Master's degree in Engineering, Computer Science, or related field plus 6 years of relevant experience.
Strong skills in C/C++, data structures, fixed-point implementation, and knowledge of computer vision, signal processing, and deep learning.
Experience working on Windows and Linux platforms.
Work Experience Required: Minimum 3 years with Master's degree as per minimum qualifications; specifically at least 6 years as per desired experience; exact alignment not explicitly clarified.
Experienced in developing and optimizing real-time computer vision and image processing algorithms suitable for embedded hardware deployment.
Proficient in fixed-point arithmetic and low-level C/C++ coding across multiple OS platforms (Windows/Linux).
Background combining deep learning methods with signal processing and image processing pipelines, preferably with knowledge of ISP and color science.