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Staff Hardware Systems Design Engineer, Board and Systems

职能工程
级别Staff+
方式现场办公
类型全职
发布1个月前
立即申请

About the job

As a Staff Hardware Engineer, you will work on Machine Learning/AI hardware systems projects to craft the solutions for current and future data center deployments. You will work with Product teams to ensure that goals are met with systems and will work with ASIC/FPGA, Software, and Verification teams to ensure proper verification of features. You will also work with the manufacturing teams to ensure that designs are manufacturable and ready for volume production, and with the field teams to support systems that are deployed in the data center.

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.

The US base salary range for this full-time position is $189,000-$274,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Gather system requirements, define architecture, execute hardware design, and product validation.

  • Lead the bring up, validation, New Product Introduction (NPI), deployment, and sustaining of hardware solutions.

  • Drive system development from concept through production.

  • Lead debug and root cause analysis of deployed systems.

  • Work cross-functionally with Hardware, Software, Power, Mechanical, Thermal, Validation, Signal Integrity, Manufacturing, and external vendors.

Minimum qualifications

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

  • 6 years of experience working in a hardware systems design, or 5 years of experience with an advanced degree.

  • 3 years of experience in technical leadership.

  • Experience with power circuit design and signal integrity.

Preferred qualifications

  • PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.

  • 10 years of experience with hardware, design and bring-up.

  • 3 years of experience in technical leadership or management.

  • Experience in PCIe, DDR, Ethernet, USB, SPI, etc.

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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

10条评价

4.5

10条评价

工作生活平衡

3.2

薪酬

4.3

企业文化

4.1

职业发展

4.2

管理层

3.8

82%

推荐率

优点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

缺点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

薪资范围

57,503个数据点

Mid/L4

Mid/L4 · Accessibility Analyst

1份报告

$214,500

年薪总额

基本工资

$165,000

股票

-

奖金

-

$214,500

$214,500

面试评价

9条评价

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