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Tester Mechanical Design Engineer, Manufacturing, Google Cloud

Google

Tester Mechanical Design Engineer, Manufacturing, Google Cloud

Google

placeTaipei, Taiwan

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Conference budget

Remote options

Design tool subscriptions

Flexible work schedule

Creative environment

Health benefits

Healthcare

Required Skills

Principle

Figma

Sketch

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.

As a Tester Mechanical Design Engineer in Cloud Supply Chain Operations (CSCO), you will evaluate and design the testing fixtures, create and develop the testing steps and procedures powering Google’s technical infrastructure. You will collaborate with the Test and Design Engineers to plan Google’s infrastructure needs and product specifications. You will ensure the integration and operation of Google's infrastructure for a consistent 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

  • Drive concurrent engineering through communicating design, process, tooling and material changes to Google manufacturing partners and design engineering peers.

  • Perform Design for Manufacturability/Assembly (DFM/A) analysis for sheet metal, plastic injection molded, metal stamped, and electro-mechanical parts and assemblies.

  • Resolve manufacturing and field tests by applying knowledge and skills, escalating design, manufacturing, and product issues to others within the organization. Identify, initiate, and drive process improvements that reduce business process cycle times and cost, while maintaining quality.

  • Provide support for manufacturing and field quality issues, owning resolution of manufacturing/supplier issues and driving design issues cross-functionally.

  • Collaborate with test design and engineering team and solution suppliers to design, develop, and optimize the tester for the in-circuit test, board functional test and rack testing in production.

Minimum qualifications

  • Bachelor's degree in Mechanical Engineering, a related technical field, or equivalent practical experience.

  • 5 years of experience in the manufacturing process and product development for mechanical parts and assemblies for electronics products.

  • 2 years of experience in designing mechanical components such as metal parts, mechanical assemblies, printed circuit board outlines.

  • Experience in mechanical design and development to support manufacturing.

  • Experience with 3D CAD tools like 3D MCAD, NX, Creo, or Solidworks.

Preferred qualifications

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

  • Experience with product data management systems (e.g., Agile, Windchill).

  • Experience in one or more sub-disciplines (e.g., sheet metal fabrication, hard tooling fabrication, plastic injection molding), with the ability to provide design for feedback.

  • Knowledge of precision sheet metal fabrication processes (e.g., Numerical Control (NC) punching, press brake forming, hardware insertion processes), hard tooling fabrication processes (e.g., metal stamping), plastic injection molding processes, and electro-mechanical assembly.

  • Excellent communication skills, with the ability to collaborate with global teams on projects including multiple technologies.

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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