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Minimum qualifications:

+ Bachelor’s degree in Electrical Engineering, Computer Science, or related field, or equivalent practical experience.

+ 15 years of experience in data center hardware architecture and design.

+ Experience with hyperscale data center design architectures, IT platforms, and high speed networking and connectivity (optical and copper).

+ Experience with data center and hardware architectures for ML workloads.

Preferred qualifications:

+ PhD in Electrical Engineering, Computer Science, or related field.

+ Experience working in a server-class silicon development, design or architecture team.

+ Ability to influence other senior, highly technical leaders to agree on best in class technical approaches.

+ Ability to drive technical direction without having immediate management responsibilities.

+ Demonstrated track record setting a technical strategy or vision for data center or silicon development teams.

Google's custom-designed machines and data centers make up one of the largest and most powerful computing infrastructures in the world. As a Distinguished Engineer for ML Systems Architecture, you will drive future-looking architectures at the intersection of data centers and IT systems. You will partner with Hardware and Software Engineering, Manufacturing, Supply Chain and Operations teams across Data Center and IT Platforms to lead game changing architectural and development efforts. You'll work closely with inside and outside partners to execute on the architectures, providing technical direction, operational guidance and industry influence

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $349,000-$485,000 + 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 (https://careers.google.com/benefits/) .

+ Provide technical direction and leadership in modular computation for ML architectures. Lead definition and development across all engineering disciplines (e.g., electrical, mechanical, thermal, structural, industrial, etc.) to optimize the design points. Provide technical direction, integration expertise and critical data analysis related to the overall system architecture and performance.

+ Collaborate across internal teams and outside partners to optimize for manufacturing and supply chain to achieve delivery speed and optimize cost.

+ Achieve high volume manufacturability with automation and optimized flows, developing solutions with significant standardization efforts for speed, scale and supply chain efficiencies, and optimization parameters such as reliability, cost, weight, transportation, installation and serviceability.

+ Upend existing processes that don't make sense but preserve ones that do.

+ Think strategically and drive ideation and influence across functional teams to deliver revolutionary solutions.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.