Jobs

CPU RTL Engineer, Silicon
placeAustin, TX, USA; Mountain View, CA, USA; +3 more; +2 more
·
On-site
·
Full-time
·
1mo ago
Compensation
$132,000 - $189,000
Benefits & Perks
•Professional development budget
•401(k) matching
•Generous paid time off and holidays
•Parental leave
•Flexible work arrangements
•Learning
•Parental Leave
•Flexible Hours
Required Skills
TypeScript
Python
JavaScript
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 $132,000-$189,000 + 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
-
Contribute to CPU frontend designs, emphasizing on microarchitecture and Register-Transfer Level (RTL) design for the next generation CPU.
-
Propose performance enhancing microarchitecture features with efficiency in mind. Work with architects and performance teams for trade-off studies. Communicate pros and cons of microarchitecture enhancements. Facilitate final decision making.
-
Deliver designs meeting Power, performance and area (PPA) goals with production quality.
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Become familiar with state-of-the-art techniques for at least one processor functional block. Interpret the techniques into design constructs and languages in order to provide guidance to and participate in the performance modeling effort.
Minimum qualifications
-
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
-
4 years of experience with digital logic design principles, RTL design concepts, and languages such as Verilog or System Verilog.
-
Experience with microprocessor architecture.
Preferred qualifications
-
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
-
Experience with modern processor microarchitecture and related technologies and algorithms, through academic projects or industry experience.
-
Knowledge of Programming languages such as C, C++, and Python.
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Knowledge of general purpose operating systems such as Linux or Android.
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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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