Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
Responsibilities:
- Evaluate the architectural autofocus design and algorithms for digital photography, tune the autofocus algorithm, support Pixel phone development, and contribute to raising the bar of quality and innovation with Pixel cameras.
- Partner with stakeholders to refine and improve autofocus algorithms.
- Communicate results and implications to a cross-functional team, and work cross-functionally to optimize the performance under hardware constraints(VCM, lens, sensor, OIS, TOF) constraints.
- Design and produce subjective and objective laboratory tests and fielded test methods to analyze problems, experiment with image quality, behavior and performance.
- Work with the System on a Chip (SoC) architecture and algorithm teams to understand and improve architecture and use cases.
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
- 2 years of experience working in image processing, image quality evaluation, camera tuning or other camera technical environments, or an advanced degree.
- Experience programming in C, C++, or Python.
Preferred qualifications:
- Master's degree in Computer Science, Computer Engineering, Mechanical Engineering, or a related technical field.
- Experience developing and integrating new autofocus (AF) hardware components in consumer products, as well as autofocus algorithm tuning and optimization.
- Experience with sensor characteristics, optics, and image signal processing in mobile imaging systems, and their influence on final image and video quality.
- Experience in performance validation for Laser Detection Autofocus (LDAF) and Optical Image Stabilization (OIS) modules.
- Ability to communicate and collaborate in a cross-functional team environment.
- Passion for photography technology.
