Description

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  
• 1 years of experience working in a hardware development lab technical environment.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
  
• Experience with Linux or Unix operating systems (Ubuntu or RHEL) and shell scripts.
• Understanding of computer systems (e.g., physical, functional, logical, mechanical, electrical, software, thermal etc).
• Ability to coordinate and manage the needs of multiple lab users.
• Ability to read and understand technical drawings (schematics, datasheets, written work instructions).

About the job
As a Hardware Test Engineer, you will be supporting a team of hardware design, test, and qualification engineers who are responsible for prototype bring-up, validation, qualification, and failure analysis of ML technologies such as GPU, TPU, CPU, Double Data Rate (DDR) memory, storage 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 development lab budget, and test infrastructure upgrade 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 $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 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 various hardware prototype bringup and qualification testing activities by developing Python automation test script to facilitate system performance regression testing and failure reproduction.
• Design robust network, power and cooling infrastructure for high and medium touched labs with remote control functionality.
• Drive development of software and infrastructure required for managing fleet of test systems at scale to avoid manual configuration and test execution; Develop quality data collection systems and visualization of the data (e.g., measurements).
• Provide integrated Software (SW) to synchronize test execution on Device-under-Test (DUT) with external smart measurement instrumentation.
  
• Support a team of hardware designers, qualification and test engineers, on project planning within hardware development labs, and ensure adequate resources are met as required.

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Requisition #: 102745398925238982

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