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 architecture performance analysis, or a PhD degree in lieu of industry experience.
• Experience in developing software systems in C++ or Python.

PREFERRED QUALIFICATIONS:

• Experience in applying computer architecture principles to solve open-ended problems.
• Experience in analyzing workload performance and creating benchmarks.
• Experience in hardware and software co-design.
• Experience developing in Python.
• Knowledge of design of digital logic at the Register Transfer Level (RTL) using Verilog.
• Knowledge of processor design or accelerator designs and mapping Machine Learning (ML) models to hardware architectures.

• Lead Machine Learning workload characterization, benchmarking, and hardware-software co-design.
• Conduct performance and power analyses and quantitatively evaluate proposals.
• Develop architectural and micro architectural models to enable quantitative analysis.
• Collaborate with partners in hardware design, software, compiler, Machine Learning (ML) model and research teams for hardware/software codesign.
• Propose capabilities and next-generation TPUs and chip roadmap, and contribute to TPU chip specs.
  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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form