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Senior System Performance and Architecture Engineer, Silicon

5.00 to 8.00 Years   Taiwan (Taiwan)   11 May, 2025
Google India Pvt Ltd
Job LocationTaiwan (Taiwan)
EducationAny Graduate
SalaryAs per Industry Standards
IndustryInternet/Dot com/ISP
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

Senior System Performance and Architecture EngineerLocation: New Taipei, Banqiao District, New Taipei City, TaiwanExperience Level: MidGoogle welcomes people with disabilities.Minimum Qualifications:

  • Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience in computer or chip architecture, performance, or software development for Compute IPs.
  • Experience analyzing workloads on simulation models or hardware devices.
  • Experience with general computer architecture, TPU/GPU architecture, or workload performance analysis.
Preferred Qualifications:
  • Masters degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science.
  • Experience with one or more general-purpose programming languages including C/Cor Python.
  • Experience in performance and power optimization.
  • Knowledge in one or more of these areas: GPU, TPU, or ISP hardware architecture.
  • Knowledge in GPU or other vector program optimization, Generative AI model architectures.
About the JobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Googles direct-to-consumer products. Youll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Googles mission is to organize the worlds information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make peoples lives better through technology.Responsibilities
  • Develop models, analyze and project power and performance of compute-centric hardware IP blocks (Compute IPs) on a mobile SoC, including GPU, TPU, and ISP.
  • Study the behavior of various compute, gaming, and AI workloads executing on the SoC, identify issues and opportunities for hardware and software co-optimization.
  • Propose improvements in the hardware architecture of the Compute IPs or SoC-level as well as in the compiler, runtime, or application software.
  • Work with hardware and software teams to align on the architecture requirement and definition of one or more Compute IPs.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate 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 also Googles 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.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.

Keyskills :
chip architecture performance analysis workload optimization programming proficiency hardware co optimization simulation models python mobile

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