Camera Electrical Engineer

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Derive a reasonable system architecture for system resources, power efficiency, and provide hardware hooks to support camera features.
• Determine component-level requirements and develop schematics for camera modules containing image sensors, microcontrollers, AF/OIS drivers, and high-speed interfaces (MIPI, I3C/I2C, SPI), and design hardware to enable testing and future technology innovation.
• Perform schematic capture, PCB/Flex layout supervision, and simulations to meet high-speed signal integrity and low-noise power supply requirements.
• Conduct system-level bring-up, validation, and debugging, document and present validation data.
• Support hardware prototyping and validation for new imaging technologies.

Minimum qualifications:

• Bachelor's Degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
• 2 years of programming experience in Python or Matlab and experience using AI agents to create/debug prototype code.
• 2 years of experience in hardware development in high-volume consumer electronics.

Preferred qualifications:

• Master's Degree in Electrical Engineering, Computer Engineering, or a related field.
• Demonstrated experience with using AI agents to quickly create/debug prototype code.
• Comfortable with standard EE lab equipment (O-scope, VNA, multi-meter, power supply, signal generator) and experience with lab automation.
• Demonstrated team work with cross-functional teams to resolve challenges.