Hardware Test Engineer
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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.
- Experienced in Linux systems administration and network switch configuration, debugging system and network connectivity issues for engineering setups, and implementing software through hardware programming and firmware updates.
Preferred qualifications:
- RHCE or CCNA certification.
- 5 years of experience working in an Engineering laboratory environment.
- Experience working with cross-functional teams on bring up tasks on prototype hardware that include assembly, device programming with hardware tools, and firmware updates.
- Ability to multitask in a fast paced environment.
- Ability to manage and organize lab inventory of parts, supplies, and equipment.
- Ability to maintain an organized, clean and safe operating lab.
About the job
Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.
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 we are ‘lab-ready’ for new products entering the R&D labs as well as supporting sustaining and debug efforts. Additionally, you will ensure the labs are well organized and operating 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; experience in the configuration of network switches.
- Work with cross-functional teams on set up tasks such as prototype hardware assembly, programming with hardware tools, and installing 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, including documenting lab bench and rack configurations and prioritizing tasks related to project bring up.
- Manage and organize lab inventory of consumables and equipment while maintaining an organized, clean, and safe operating lab.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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