Job Information
Google System Performance and Architecture Engineer, Silicon in New Taipei City, Taiwan
Google welcomes people with disabilities.
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
3 years of experience in computer or chip architecture, performance, or software development for Compute Internet Protocol (IPs).
Experience with computer architecture, TPU/GPU architecture or workload performance analysis.
Preferred qualifications:
Master's degree or PhD in Computer Science, Electrical Engineering.
Experience with one or more programming languages (e.g., C/C++ or Python).
Experience in performance and power optimization.
Knowledge of GPU, TPU or ISP hardware architecture.
Knowledge of GPU or related vector program optimization or Generative AI model architectures.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll 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. Google's mission is to organize the world's 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 people's lives better through technology.
Develop models, analyze and project power and performance of compute-centric hardware IP blocks (e.g., Compute IPs) on a mobile System on a Chip (SoC), including Graphics Processing Unit (GPU), Tensor Processing Unit (TPU) and Internet Service Provider (ISP) pre- and post-Silicon.
Study the behavior of various computer, gaming and AI workloads executing on the SoC, identify bottlenecks and opportunities for hardware and software co-optimization.
Propose improvements in the hardware architecture of the Compute IPs or SoC-level with the compiler, runtime or application software.
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/OFCCPEEOPost.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.