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Thermal Manufacturing Engineering Manager

Google

Thermal Manufacturing Engineering Manager

Google

·

On-site

·

Full-time

·

1mo ago

Compensation

$165,000 - $245,000

Benefits & Perks

Comprehensive health, dental, and vision insurance

Competitive salary and equity package

401(k) matching

Flexible work arrangements

Professional development budget

Team events and activities

Healthcare

Equity

Flexible Hours

Learning

Required Skills

Python

PostgreSQL

Node.js

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 Thermal Manufacturing Engineering team delivers cooling solutions for Google Cloud responsible for serving all of Google's functions and customers. Be part of a team that pushes boundaries, developing custom cooling solutions for the future of Google's Cloud computing and Machine Learning.

As an Engineering Manager for thermal products, you will lead a team working on products representing cooling solutions for all of Google's compute hardware, including the largest liquid cooled compute fleet in the world serving all of Google's internal and external Cloud customers. Using a deep understanding of manufacturing processes such as machining, welding, brazing, stamping, assembly, and skiving, you will enable product design and development for next generation thermal solutions at scale. With a background in industrial engineering, you will not only help guide with the qualification of new processes and suppliers but you will also lead a team to optimize production processes, lines, and vendors to help build better supply chains. With an understanding of design methods, tools, and requirements, you will lead team efforts to provide Design for Excellence (DFx) feedback, tolerance stack analysis, and thermal design considerations to enable manufacturing, automation, and scalability.

The US base salary range for this full-time position is $165,000-$245,000 + 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 team of engineers responsible for developing manufacturing strategy, performing DFx, and driving implementation of manufacturing solutions for thermal assemblies.

  • Define the technical strategy and architecture for scalability and influence the supply chain selection for next generation hardware to support Google Cloud and Machine Learning.

  • Develop the mid-term technical goals within the scope of the team while evolving the roadmap to meet anticipated future requirements and infrastructure needs.

  • Provide technical leadership via engineering expertise in supplier selection, qualification, process and cost optimization, failure analysis and recovery, supplier scaling, and supplier management through new product lifecycle.

  • Lead continuous improvement initiatives to enhance manufacturing processes and product designs. Identify process, tooling, and automation opportunities to not only support high volume manufacturing but also to deliver increased product quality, reduced cost, and increased process repeatability.

Minimum qualifications

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

  • 10 years of experience with product development for mechanical assemblies.

  • 3 years of experience in a people management or team leadership role.

Preferred qualifications

  • Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.

  • 10 years of relevant process, design, or product development experience for mechanical assemblies.

  • Experience with machining, welding, brazing, soldering, sintering, stamping, skiving, assembly, die casting, injection molding, leak detection, test design and product testing, quality control, equipment and fixture design.

  • Experience in design, manufacturing, quality, or product engineering for hardware technology and systems.

  • Ability to resolve conflicts cross-functionally with internal/external partners.

  • Excellent problem-solving and organizational skills, and attention to detail, with the ability to deliver presentations to executive management.

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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