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职位Google

Thermal Manufacturing Engineer, NPI Product Operations

Google

Thermal Manufacturing Engineer, NPI Product Operations

Google

·

On-site

·

Full-time

·

2w ago

About the job

Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.

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.

Responsibilities

  • Be responsible for developing manufacturing strategy, performing Design for Excellence (DFX) and driving implementation of manufacturing solutions for thermal assemblies.

Minimum qualifications

  • Bachelor's degree in Mechanical, Industrial, Process, Manufacturing Engineering, a related discipline, or equivalent practical experience.

  • 5 years of relevant manufacturing process and product development experience for thermal (air/liquid cooling)/mechanical parts for networking/server products.

  • Experience with manufacturing best practices (Lean, Six Sigma, etc), DFx and production line development.

  • Experience with metals processing such as machining, brazing, soldering, skiving, zipper fin stamping, etc.

Preferred qualifications

  • Master's degree in Industrial, Mechanical, Manufacturing Engineering or a related discipline.

  • Experience with thermal designs and simulations.

  • Experience delivering high volume manufacturing solutions, resolving issues, leading yield improvements and cycle time reductions for complex parts and assemblies.

  • Demonstrated ability to influence the product design process by proposing improvements with data.

  • Excellent communication skills, and ability to collaborate with multi-geo teams on complex projects spanning multiple technologies.

  • Expertise with thermal/mechanical manufacturing processes including tooling/fixturing and production line development for high volume.

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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