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Benefits & Perks
•Creative environment
•Health benefits
•Flexible work schedule
•Design tool subscriptions
•Healthcare
Required Skills
Principle
InVision
Figma
About the job
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.
The US base salary range for this full-time position is $183,000-$271,000 + 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 about benefits at Google.
Responsibilities
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Participate in developing CPU subsystem. Develop CPU subsystem front-end designs, emphasizing on microarchitecture and RTL design for the next generation CPU.
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Propose performance enhancing microarchitecture features, and work with Software, Architect, and Performance teams for trade-off studies.
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Communicate the pros and cons of microarchitecture enhancements. Deliver designs, meeting PPA goals with production quality.
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Work with the Verification team to ensure production of quality designs, and the physical design and power teams to meet frequency, power, and area goals.
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Understand modern techniques, interpret the techniques into design constructs, and languages in order to provide guidance to and participate in the performance evaluation effort.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
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10 years of experience in CPU or AI accelerator logic/RTL design, including microarchitecture definition and PPA optimizations.
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Experience with RTL language (System Verilog) and related design processes (e.g., Lint, UPF).
Preferred qualifications
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Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
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Experience leading front-end design for modern processor components or AI accelerators.
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Experience with ARM Instruction Set Architecture.
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Experience with SOC design, architect, and integration.
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Experience with post silicon debug.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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