Camera Electrical Engineer: AI-Driven Hardware & Equity

Google

Mountain View (CA)

On-site

USD 132,000 - 189,000

Full time

5 days ago
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Job summary

Google's 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. 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

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.

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.

Skills

Python
Matlab
AI agents
Hardware development

Education

Bachelor's degree
Master's degree

Tools

Oscilloscope
VNA
Multimeter
Power supply
Signal generator
Lab automation

Job description

Google's 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. 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

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