Hardware Test Engineer, Platforms Infrastructure Engineering - Sunnyvale, CA, USA

Only for registered members Sunnyvale, CA, USA, United States

1 day ago

Default job background
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 year of experience working in a hardware engineering la ...
Job 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 year of experience working in a hardware engineering lab environment, or an advanced degree.
  • Ability to lift/move 30lb (14kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.

Preferred qualifications:

  • 3 years of experience working in an engineering laboratory environment.
  • Experience configuring Arista network switches.
  • Experience managing and organizing lab inventory of highly used consumables by lab users.
  • Experience working with cross-functional teams on bring-up tasks (e.g., hardware assembly, programming with hardware tools, and firmware updates).


About the job

As a Hardware Engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concepts all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into data centers affecting millions of Google users.
As a Specialized Hardware Test engineer, you will work with a team of hardware test engineers who are responsible for prototype bring-up, validation, and qualification of server, networking, and optical platforms. You will also be responsible for liaison between engineering design and test teams to ensure lab resources are accounted for and that you are 'lab-ready' for new products entering the Research and Development labs as well as support, sustain and debug efforts. In addition you will ensure the labs are well organized and operate in a safe working environment.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

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

  • Perform linux systems administrative tasks which will include debugging system and network issues related to lab networks, and connectivity to engineering test setups.
  • Work with cross-functional teams on tasks such as prototype hardware assembly, program with hardware tools, and install firmware updates.
  • Receive and manage hardware components and material for projects and disperse hardware per allocation plan.
  • Work with teams bringing up new labs and services. Tasks include documenting lab bench and rack configurations and prioritize tasks related to project bring up.
  • Manage and organize lab inventory of consumables and equipment utilized by lab users. Maintain an organized, clean and safe operating lab.


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