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PCBA Electrical Manufacturing Engineer, Google Cloud

Google

PCBA Electrical Manufacturing Engineer, Google Cloud

Google

·

On-site

·

Full-time

·

1w ago

  • Lead development of innovative manufacturing processes solutions and capabilities including industry-first process definition, startup, and qualification.

  • Develop manufacturing documentation (e.g., bill of materials, assembly drawings, manufacturing work instructions, etc.) in support of the new product introduction (NPI).

  • Establish, deliver, and maintain the manufacturing and quality processes and standards for Google's new technologies, leveraging existing tools and processes as required.

  • Collaborate with design and cross-functional engineering teams throughout NPI phases to identify value engineering opportunities and ensure manufacturability.

  • Work closely with manufacturing partners in build readiness and process validation; solve complex design and manufacturing challenges efficiently to meet project timing and ensure flawless NPI launch.

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.

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

  • 5 years of experience in manufacturing PCBA and box build.

  • Experience using tools such as Valor and Allegro to perform Design For Excellence (DFX).

  • Experience with development of PCBA manufacturing processes including acceptance testing, startup, and qualification.

  • Experience in new sites, line, and equipment bring up and transfer.

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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

57,502 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 per 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