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Job Type:
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On-Site
Compensation:
$150,000 - $200,000 / yr
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We are seeking a Imaging Engineer with expertise in imaging and signal processing to contribute to advanced camera and vision technologies. This role involves collaborating with cross-functional teams, including algorithm development, software tools, and image quality engineering, to deliver innovative imaging solutions across next-generation platforms.
Key Responsibilities
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Design, implement, and optimize real-time firmware for imaging and vision systems, including control algorithms such as auto-exposure, auto-white-balance, and flicker detection.
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Develop and enhance firmware for ISP pipeline functions such as HDR, noise reduction, and image enhancement.
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Collaborate with software and hardware teams to integrate imaging algorithms into embedded platforms.
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Support the development of simulation models for image and video processing components.
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Provide technical leadership and guidance on imaging firmware architecture and best practices.
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Mentor engineers to build technical depth and support career development.
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Contribute to research initiatives in sensor integration, computer vision, and machine learning.
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Partner with platform and driver engineering teams to improve performance and ensure smooth integration.
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Support productization efforts by assisting image quality and applications teams during customer deployments.
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Create and maintain technical documentation and training resources.
Qualifications
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Education & Experience:
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Bachelor’s degree with 6+ years, OR
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Master’s degree with 4+ years, OR
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Ph.D. with 2+ years of professional experience.
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Degree in Electrical Engineering, Computer Engineering/Science, Imaging Science, or related fields with focus on image/signal processing or control systems.
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Technical Skills:
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Proven experience with ISP or imaging pipeline development in automotive, mobile, consumer, or industrial products.
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Proficiency in C programming; familiarity with C++, MATLAB, or Python is a plus.
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Background in developing real-time embedded firmware for imaging or related systems.
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Professional Skills:
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Ability to mentor and support other engineers.
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Strong experimental, analytical, and problem-solving skills with a data-driven mindset.
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