Staff Hardware Systems Design Engineer, Board and Systems

Staff Hardware Systems Design Engineer, Board And Systems

Advanced experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

This is a specialized role which requires physical interaction with hardware equipment in a simulated data center environment, utilizing Google labs, power, and safety equipment. Regular development and processing of engineering hardware must be performed on site.

Minimum Qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• 6 years of experience working in a hardware systems design, or 5 years of experience with an advanced degree.
• 3 years of experience in technical leadership.
• Experience with power circuit design and signal integrity.

Preferred Qualifications:

• PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• 10 years of experience with hardware, design and bring-up.
• 3 years of experience in technical leadership or management.
• Experience in PCIe, DDR, Ethernet, USB, SPI, etc.

As a Staff Hardware Engineer, you will work on Machine Learning/AI hardware systems projects to craft the solutions for current and future data center deployments. You will work with Product teams to ensure that goals are met with systems and will work with ASIC/FPGA, Software, and Verification teams to ensure proper verification of features. You will also work with the manufacturing teams to ensure that designs are manufacturable and ready for volume production, and with the field teams to support systems that are deployed in the data center.

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 $174,000-$258,000 + 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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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