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Hardware Emulation Engineer, Networking, Google Cloud

Google

Hardware Emulation Engineer, Networking, Google Cloud

Google

placeTel Aviv, Israel; Haifa, Israel

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Professional development budget

Equity

Healthcare

Learning

Required Skills

JavaScript

TypeScript

PostgreSQL

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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

  • Maintain and upgrade emulation models and infrastructure and act as a primary interface to emulation vendors.

  • Explore emulation methodologies, gather feedback from the team and customers, 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., DDR, 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 Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

  • 3 years of experience with Emulation systems (Ze Bu Server, Palladium, Veloce), compilation, debug, performance and methodology enhancements.

  • Experience with coding and scripting in C, C++, Perl, TCL, or Python.

  • Experience with coding in Verilog/System Verilog for design.

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

  • Experience with design debug tools (e.g., Verdi, Verisium).

Preferred qualifications

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

  • Experience with hardware verification concepts and tools (simulation, coverage, assertions, understanding of CPU Arch, SoC, Fabric, Networking).

  • Experience in embedded software and firmware (Linux drivers, Firmware validation).

  • Experience with Hybrid Emulation or Speed Bridges.

  • Experience with FPGA systems (e.g., EP, HAPS, Protium), compilation, debug, performance and methodology enhancements.

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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