Autofocus and Optical Image Stabilization Control System Architect

About the job

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.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Architect the roadmap and goal for next-generation Autofocus (AF) and Optical Image Stabilization (OIS) systems across Google's hardware portfolio.
• Drive the introduction of novel AF/OIS technologies-from concept to production-to pioneer new imaging and sensing capabilities.
• Own the end-to-end design, development, and optimization of advanced control systems and algorithms to achieve AF and OIS performance.

Qualifications

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Physics, Control Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
• 6 years of experience solving cross-functional issues in a data-driven environment.
• 5 years of experience with the testing, calibration, and validation of AF/OIS systems for consumer electronics.
• 5 years of experience in system-level (Software/Firmware/Hardware) co-design for performance, power, and manufacturability.
• 5 years of experience with the development of control algorithms for AF/OIS systems from simplified mechanical modeling and Simulink.

Preferred qualifications:

• Master's degree in Electrical Engineering, Mechanical Engineering, Physics, Control Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
• Experience with OIS algorithm design with sensor fusion from IMU (Inertial Measurement Unit) on SOC (System on a Chip) or MCU (Micro-controller Unit).
• Understanding of statistics for process control and analyzing measurement data with Python or Matlab.
• Understanding of standard protocols such as I2C/I3C, UART, SPI.
• Strong prototyping skills to enable software development/proof of concepts and programming experience in C++ Firmware.