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Senior Hardware Emulation Engineer, Networking, Google Cloud

Google

Senior Hardware Emulation Engineer, Networking, Google Cloud

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental leave

Flexible work arrangements

Professional development budget

Generous paid time off and holidays

401(k) matching

Parental Leave

Flexible Hours

Learning

Required Skills

Python

JavaScript

TypeScript

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 help to develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our Application-Specific Integrated Circuit (ASIC) projects. You will provide emulation infrastructure and methodologies for supporting these projects. You will work with other emulation team members as well as designers, verification engineers, and software teams. You will work with our external vendors, lab support teams, networking and security, and Electronic Design Automation (EDA) tooling and methodology teams to deliver emulation-based prototyping capabilities for our ASIC projects. You will also assist in compiling projects specifying our prototyping platforms, debugging issues in both infrastructure and design, supporting the hardware and lab bring up, and verifying our ASIC systems.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

  • Help in maintaining and upgrading emulation infrastructure and act as a primary interface to emulation vendors.

  • Explore emulation methodologies, gather feedback from the team, and implement emulation workflows and methodologies.

  • Create tooling and automation to support emulation EDA tools, licensing, and job management in Google infrastructure.

  • Support emulation team members with debugging hardware, tooling, and project-specific issues.

  • Help to bring up external interfaces (e.g., USB, PCIe, Ethernet, etc.) on the emulation platforms and create standalone test cases for tool issues encountered in the emulation compile and runtime flows.

Minimum qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.

  • Experience with associated EDA tools, automation, and flow enhancements.

  • Experience using command debug tools (e.g., Verdi, Sim Vision/Indago, GDB) and programming in C, C++, Perl, TCL, or Python.

  • Experience with emulation systems, maintenance, upgrades, and methodology enhancements.

Preferred qualifications

  • Master's degree in Computer Science, Electrical Engineering, or a related technical field.

  • Experience deploying EDA tools into distributed environments.

  • Experience with system administration, networking, and security systems.

  • Experience with Register-Transfer Level (RTL) design, Verilog, simulation, System Verilog, and assertions.

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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

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