About the job

As a senior Hardware Test Engineer, you will be leading a team of cross-discipline test engineers to define, implement and execute tests of end-to-end Machine Learning (ML) system design involving Central Processing Unit (CPU), Double Data Rate (DDR) memory, storages, specialized ML Application-Specific Integrated Circuit (ASICS) and high-speed interconnects. You will also be responsible for liaison between Hardware (HW) engineering teams and the lab team to ensure lab resources are accounted for and to ensure we are ‘lab-ready’ for new products entering the Research and Development (R&D) labs or sustaining efforts. In addition you will help to manage lab budget, hiring, performance management, and the well-being of the team as well as ensuring the labs are well organized and providing a safe working environment.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 $147,000-$216,000 + 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

• Lead end to end system integration testing by defining system configurations and drive the development of test automation to facilitate system performance, design reliability and failure reproduction.

• Design network, power and cooling infrastructure for end-to-end system testing.

• Drive development of test software and infrastructure required for managing fleet of test systems to avoid manual configuration and test execution and develop quality data collection systems and visualization of the data (i.e., measurements).

• Provide integrated Software (SW) to synchronize test execution on Device-under-Test (DUT) with external smart measurement instrumentation.

• Be a core contributor within a team of hardware/software designers, test engineers, on project planning within hardware development labs, ensuring adequate resources are met as required.

Minimum qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field

• 4 years of experience working in a hardware development lab technical environment, or 3 years of experience with an advanced degree.

• 3 years of experience with Linux and software scripting languages (i.e., Python).

• Experience with hardware evaluation methodologies, including lab measurements, performance monitoring, test automation, and data analysis.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.

• Experience with Linux or other Unix operating systems (e.g., Ubuntu or RHEL) and shell scripts.

• Experience in more than one discipline related to hardware test, hardware qualification, and manufacturing (i.e., signal integrity, power circuit testing, optical testing, network testing, scripting, and hardware test automation).

• Knowledge of computer systems (e.g., physical, functional, logical, mechanical, electrical, software, thermal, etc.).

• Ability to read and understand schematics, datasheets, and technical work instructions.

• Excellent communication skills with the ability to coordinate and manage multiple lab users' needs.