auto-exposure jobs in San Diego

Design, develop, and optimize Windows camera drivers and imaging solutions on Qualcomm Snapdragon platforms, including kernel-mode and user-mode drivers, camera frameworks, image signal processing, and AI-enhanced features. Collaborate with OEMs, hardware teams, silicon engineers, and Microsoft to deliver high-quality camera experiences.…See more Lead camera sensor bring-up, debug complex system and hardware issues across the camera stack, and mentor junior engineers while influencing architecture decisions.

Design, develop, and optimize Windows camera drivers and imaging solutions for Qualcomm Snapdragon platforms, working across kernel-mode and user-mode drivers, image signal processing, and AI-enhanced camera features. Lead camera sensor bring-up, hardware integration, and debug complex issues across the camera stack.…See more Collaborate with OEMs, hardware teams, silicon engineers, and Microsoft to deliver high-quality camera experiences. Mentor junior engineers and influence camera architecture decisions across product generations.

Google seeks a Software Engineer III to develop computer vision and computational photography features for Pixel camera autofocus, exposure, and white balance systems. You will own the end-to-end product lifecycle from research and algorithm development through prototyping, optimization, and commercialization.…See more The role requires proficiency in C++, machine learning infrastructure (model deployment, optimization, data processing), and computer vision or imaging platforms, along with experience in large-scale system design and performance analysis.

Google seeks a Software Engineer III to develop computer vision and computational photography features for the Pixel camera, focusing on autofocus, image signal processing, and scene understanding. You will own the end-to-end product lifecycle from research and algorithm development through prototyping, optimization, and commercialization.…See more The role requires 2+ years of C++ software development, 1+ year of ML infrastructure experience, and 1+ year of computer vision or imaging platform experience. You'll work cross-functionally with hardware, research, and chip design teams to deliver mobile-friendly features that define the Pixel camera experience.