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  • Director, Engineering, Compute Software Silicon

    Google (Sunnyvale, CA)



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    Director, Engineering, Compute Software Silicon

    _corporate_fare_ Google _place_ Sunnyvale, CA, USA _bar_chart_ Director **Minimum qualifications:**

    + Master’s degree in Computer Science or Electrical/Computer Engineering or equivalent practical experience.

    + 15 years of work experience in software engineering.

    + Experience building ML frameworks and optimizing ML workloads.

    + Experience in shipping consumer products.

    + Experience solving technical problems.

    + Experience in people management.

    Preferred qualifications:

    + Ph.D. in Computer Science or Electrical/Computer Engineering.

    + 10 years of people management experience.

    + Experience in compilers for embedded accelerators.

     

    About the job

     

    Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

     

    As the Director, Compute Software Silicon, you will lead an international team of software engineers enabling ML acceleration on Tensor SOCs that power the Pixel smartphone. Your team provides the compiler for the ML accelerator, and collaborates closely with the hardware architecture team to design next-generation embedded ML accelerators. Your team provides an SDK, including documentation and tooling that enables both other Google teams, as well as external developers, to get the speed and power benefits a dedicated ML accelerator can provide. The team provides a runtime that manages the accelerators. Finally, a team of ML experts co-develops and optimize ML models with model owners (in research and other Google units) to provide the best possible models for the Tensor SOC.

     

    The US base salary range for this full-time position is $294,000-$414,000 + 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 aboutbenefits at Google (https://careers.google.com/benefits/) .

    Responsibilities

    + Lead a team of software engineers.

    + Define and deliver a complete SDK for ML accelerators for the Tensor SOC.

    + Ship embedded products with state-of-the-art ML workloads.

    + Take a data-driven approach to deeply analyze Google’s workloads and complex software stacks to identify opportunities.

    + Work with cross-functional teams to ensure architected features are successfully deployed in product.

     

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

     

    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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

     

    If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

     

    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.

     

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

     

    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.

     


    Apply Now



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