Hardware Validation Engineer, ML Products, University Graduate
Company: Google
Location: Sunnyvale
Posted on: April 4, 2026
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Job Description:
Minimum qualifications: 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. Preferred qualifications: 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. 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 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. About the job 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 Research and
Development (R&D) lab, you plan for and execute the most
effective way to test at scale. Working closely with design
engineers, you give input on designs to improve our hardware until
you are sure it meets Google's standards of quality, reliability,
and security. The AI and Infrastructure team is redefining what’s
possible. We empower Google customers with breakthrough
capabilities and insights by delivering AI and Infrastructure at
unparalleled scale, efficiency, reliability and velocity. Our
customers include Googlers, Google Cloud customers, and billions of
Google users worldwide. We're the driving force behind Google's
groundbreaking innovations, empowering the development of our
cutting-edge AI models, delivering unparalleled computing power to
global services, and providing the essential platforms that enable
developers to build the future. From software to hardware our teams
are shaping the future of world-leading hyperscale computing, with
key teams working on the development of our TPUs, Vertex AI for
Google Cloud, Google Global Networking, Data Center operations,
systems research, and much more. The US base salary range for this
full-time position is $108,000-$153,000 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 in
US role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Support creation of test plans and coordination of
resources across test environments. Interface more executive
engineers to help perform electrical, functional, performance, and
reliability testing for Google's machine learning trays and
solutions. Analyze results to ensure that they meet Google's
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 standards set in the qualification process.
Keywords: Google, Turlock , Hardware Validation Engineer, ML Products, University Graduate, Education / Teaching , Sunnyvale, California
