Hardware Validation Engineer, ML Products, University Graduate

Overview

As a Hardware Validation Engineer, you will support end-to-end testing for machine learning hardware deployed in Google's data centers. Google's custom-designed machines make up one of the largest computing infrastructures in the world. The Hardware Qualification team ensures that this equipment is reliable. In the R&D lab, you plan for and execute effective testing at scale, collaborating with design engineers to improve hardware until it meets Google's standards of quality, reliability, and security.

The AI and Infrastructure team empowers Google customers with breakthrough capabilities by delivering AI and infrastructure at scale, efficiency, reliability, and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We are shaping the future of hyperscale computing across areas such as TPUs, Vertex AI for Google Cloud, Google Global Networking, data center operations, and more.

• Support creation of test plans and coordination of resources across test environments.
• Interface with senior engineers to perform electrical, functional, performance, and reliability testing for Google's machine learning hardware; analyze results to ensure they meet requirements.
• Report bugs and propose corrective actions with cross-functional teams.
• Use scopes, protocol analyzers, BERTs, and other lab equipment to collect high-precision data.
• Organize results, communicate findings, and incorporate learnings in alignment with the qualification standards.

• 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 oscilloscopes, BERTs, and analyzers.
• Experience working in board-level design and testing, electrical engineering, and signal integrity.
• Knowledge of low-speed interfaces like SPI and I2C, and high-speed Ser Des interfaces like Ethernet and PCIe.
• Understanding of signal integrity 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.

The US base salary range for this full-time position is $105,000-$151,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed reflect base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.