Hardware Validation Engineer, ML Products, University Graduate

As a Hardware Validation Engineer, you will support end-to-end testing for machine learning hardware deployed in Google's data centers, ensuring reliability and quality of custom-designed machines. The AI and Infrastructure team is redefining what’s possible by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.

Requirements

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• Experience working in board level design and testing.
• Experience with electrical engineering and signal integrity.
• Master's degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
• Experience working in lab environments and familiarity with lab equipment like scopes, BERTs, and analyzers.
• Knowledge of low-speed interfaces like SPI and I2C, and high-speed Serializer/Deserializer (SerDes) interfaces like ethernet and PCIe.
• Understanding of signal integrity (SI) for high speed interfaces, and best practices to collect accurate SI data.
• Ability to use scripting and automation to execute test algorithms and analyze results, supported by excellent communication skills.

Benefits

• Benefits at Google