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Google
Google

Organizing the world's information and making it universally accessible.

RTL Design Engineer, Google Cloud at Google

RoleEngineering
LevelMid Level
WorkOn-site
TypeFull-time
Posted3 months ago
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About the role

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.

In this role, you will use Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing etc. You will develop/define design options for performance, power and area.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

  • Define the IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline etc.

  • Perform RTL development (coding and debug in Verilog, System Verilog).

  • Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.

  • Engage in synthesis, timing/power closure, and ASIC silicon bring-up.

  • Contribute to verification test plan and coverage analysis of block and SoC-level.

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, Register-Transfer Level (RTL) design concepts, and languages such as Verilog or System Verilog.

Preferred qualifications

  • Experience with logic synthesis techniques to optimize Register-Transfer Level (RTL) code, performance and power as well as low-power design techniques.

  • Experience with design sign off and quality tools (Lint, CDC, VCLP etc.).

  • Experience in a scripting language like Python or Perl.

  • Knowledge of SoC architecture and assertion-based formal verification.

  • Knowledge of one of these areas, PCIe, UCIe, DDR, AXI, ARM processors family.

  • Knowledge of high performance and low power design techniques.

Required skills

Python

Machine Learning

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Mid/L4

Mid/L4 · Accessibility Analyst

1 reports

$214,500

total per year

Base

$165,000

Stock

-

Bonus

-

$214,500

$214,500

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