热门公司

招聘

职位Google

Engineering Lab Manager, Platforms Infrastructure Engineering

Google

Engineering Lab Manager, Platforms Infrastructure Engineering

Google

·

On-site

·

Full-time

·

2w ago

About the job

We are dedicated to delivering laboratory infrastructure and expert engineers to facilitate Google Cloud in achieving excellence in hardware testing, automation, prototyping, product quality, and innovative endeavors. Our efforts maximize resources, ensure product excellence, and accelerate time to market. The hardware solutions supported by the Product Infrastructure Engineering Test Infrastructure Network (PIE TIN) form the fundamental infrastructure of Google's Data Centers and Mini Clusters worldwide.

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.

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

  • Lead a specialized hardware engineering team supporting New Product Introduction (NPI) projects, collaborating with Project Managers to prioritize workloads and maintain high performance in a changing environments.

  • Perform Linux and Windows Operating System (OS) administration, including root-cause analysis for complex network issues, OS debugging, and engineering test setup maintenance.

  • Partner with cross-functional teams to execute hardware assembly, firmware updates, and tool programming during critical project bring-up phases.

  • Manage the end-to-end hardware supply chain, including component allocation, inventory of high-volume consumables, and the maintenance of a safe, organized lab environment.

  • Increase operational efficiency by developing standardized procedures and automation tools for data collection, population, and routine lab administrative tasks.

Minimum qualifications

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

  • 6 years of experience working in a lab environment.

  • 3 years of experience in technical leadership.

Preferred qualifications

  • Certification in RHCE or CCNA.

  • 7 years of experience working in an Engineering laboratory environment.

  • Experience working with cross-functional teams on bring up tasks (e.g., hardware assembly, programming with hardware tools, and firmware updates).

  • Experience managing and organizing lab inventory of consumables by lab users.

  • Experience maintaining an organized, clean, and safe operating lab.

  • Ability to multi-task in a changing environment.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

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