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Tier-1 employer and metro location increase competition, but niche ISP/CV skills reduce applicant density.
Specialized camera ISP, sensor, and hardware-accelerated CV skills limit cross-industry transferability.
Mandatory imaging algorithm expertise, sensor/multi-camera experience, degree and years requirements create strict filters.
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Lead R&D efforts for next-generation camera features and image quality improvements on mixed-reality and AI camera/video platforms.
Prototype and demonstrate solutions on mobile and XR platforms, focusing on image processing and computer vision algorithms optimized for hardware acceleration.
Design camera systems balancing power, memory, and silicon area to maximize imaging performance.
Bachelor's degree + 3 years, Master's + 2 years, or PhD with relevant experience in Electrical Engineering, Computer Science, or closely related fields.
Experience in digital signal & image processing, image quality tuning, CMOS sensor algorithms, and multi-camera system design including topics like temporal synchronization or depth estimation.
Proficiency in programming languages such as C, C++, Matlab, and Python.
Work Experience Required: Minimum 3 years of relevant experience (depending on degree level).
Experienced engineer with 5+ years in signal/image processing and computer vision, ideally with exposure to XR or automotive perception imaging problems.
Familiar with modern machine learning techniques applied to image processing/computer vision.
Strategic thinker capable of system-level camera design optimizing for multiple constraints (power, memory, silicon area).