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职位Google

Senior Design Engineer, Google Cloud Networking

Google

Senior Design Engineer, Google Cloud Networking

Google

placeHaifa, Israel; Tel Aviv, Israel

·

On-site

·

Full-time

·

2mo ago

福利待遇

Parental Leave

Healthcare

必备技能

Python

Go

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.

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 team 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

  • Define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.

  • Perform RTL development (e.g., coding and debug in Verilog, System Verilog, VHSIC Hardware Description Language (VHDL)), function/performance simulation debug, and Lint/CDC/FV/UPF checks.

  • Participate in synthesis, timing/power, and FPGA/silicon bring-up.

  • Participate in test plan and coverage analysis of the block and SOC-level verification.

  • Communicate and work with multi-disciplined and multi-site teams.

Minimum qualifications

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

  • 8 years of experience architecting networking ASICs from specification to production or equivalent experience.

  • Experience developing RTL for ASIC subsystems.

  • Experience in micro-architecture, design, verification, logic synthesis, and timing closure.

Preferred qualifications

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

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

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

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

  • Knowledge of TCP, IP, Ethernet, PCIE and DRAM.

  • Familiarity with Network on Chip (NoC) principles and protocols (AXI, ACE, and CHI).

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关于Google

Google

Google

Public

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

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense