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Staff Design Engineer, Networking, Google Cloud

Google

Staff Design Engineer, Networking, Google Cloud

Google

placeTel Aviv, Israel; Haifa, Israel

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Design tool subscriptions

Conference budget

Creative environment

Parental leave

Health benefits

Competitive salary and equity

Parental Leave

Healthcare

Required Skills

Principle

Framer

Adobe Creative Suite

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 be part of a team developing Application-specific integrated circuits (ASICs) used to accelerate networking in data centers. You will have multiple responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.

You will also be responsible for performance analysis for a networking stack.

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

  • Lead an ASIC subsystem.

  • Understand how ASIC subsystem interacts with software and other ASIC subsystems to implement data center networks.

  • Define hardware/software interfaces. Write micro architecture and design specifications.

  • Define efficient micro-architecture and block partitioning/interfaces and flows.

  • Collaborate with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

Minimum qualifications

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

  • 10 years of experience architecting networking ASICs from specification to production.

  • Experience developing Register-Transfer Level (RTL) for ASIC subsystems.

  • Experience with cross-functional engagement in micro-architecture, design, verification, logic synthesis, and timing closure.

Preferred qualifications

  • Experience working with software teams optimizing the hardware/software interface.

  • Experience working with design networking like: Remote Direct Memory Access (RDMA) or packet processing and system design principles for low latency, high throughput, security, and reliability.

  • Experience in Transmission Control Protocol (TCP), IP, Ethernet, Peripheral Component Interconnect Express (PCIE) and Dynamic Random Access Memory (DRAM) including Network on Chip (NoC) principles and protocols (AXI, ACE, and CHI).

  • Experience architecting networking switches, end points, and hardware offloads.

  • Understanding of packet classification, processing, queuing, scheduling, switching, routing, traffic conditioning, and telemetry.

  • Proficiency in procedural programming language (e.g., C++, Python, Go).

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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