MINIMUM QUALIFICATIONS:
Master’s degree in Electrical Engineering, Computer Engineering, Computer
Science or a related field, and 2 years of experience in the job offered or
in a Silicon Architect-related occupation.
Alternatively, will accept a PhD degree in Electrical Engineering, Computer
Engineering, Computer Science or a related field.
Position requires: High-performance microprocessor microarchitecture
development; Performance modeling or correlation analysis for
microprocessors; Cache memory hierarchy concepts or TLB management; C or C++
programming for engineering applications; and Scripting languages for
automation.
ABOUT THE JOB:
The US base salary range for this full-time position is $159,900 - $198,000+ 15%
bonus target + equity + benefits determined by role, level, and location.
Individual pay is determined by additional factors, including job-related
skills, experience, and relevant education or training. Learn more about
benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
The Platforms and Devices team encompasses Google's various computing software
platforms across environments (desktop, mobile, applications), as well as our
first party devices and services that combine the best of Google AI, software,
and hardware. Teams across this area research, design, and develop new
technologies to make our user's interaction with computing faster and more
seamless, building innovative experiences for our users around the world.
RESPONSIBILITIES:
Build modeling infrastructure and develop performance models to execute
workload analysis and define high-performance, low-power CPU
microarchitectures.
Architect chip subsystems by analyzing data, writing specifications, and
negotiating with stakeholders to ensure sound design trade-offs.
Conduct performance correlation between models and RTL implementation
including micro-benchmark development and performance bug triage.
Collaborate with cross-functional teams and external partners to debug
complex failures and parametrically characterize silicon results. Develop
complex end-user scenarios to project and measure the behavior and
competitiveness of industry benchmarks.
Design solutions for electronic design automation tool flows including code
creation, testing, and review for efficiency.