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Open nowFirst seen 2 hours ago

Advanced Mechanical Manufacturing Engineer

Google3,128 open roles

Where
Sunnyvale, CA, USA
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Your applicationOpen nowAdvanced Mechanical Manufacturing EngineerGoogle · Sunnyvale, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 27 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: first seen 2 hours ago

Google median: 27 days open

The posting

Minimum qualifications:

  • Bachelor's degree in Mechanical Engineering, Industrial, Process, or Manufacturing Engineering, a related discipline, or equivalent practical experience.
  • 5 years of experience in process or product development for electro-mechanical assemblies for electronic systems.
  • 3 years of process, design, or product development experience for mechanical assemblies.

Preferred qualifications:

  • Master's degree in Engineering or equivalent practical experience.
  • Experience with machining, stamping, assembly, die casting, injection molding, extrusion, machining, quality control, tolerance loop analysis.
  • Experience with process and production line development for high volume manufacturing across worldwide manufacturing geographies.
  • Experience with operations and supply chain management.
  • Knowledge of tool and die design, fabrication, qualification and equipment/fixture design.
  • Knowledge in mechanical part qualification, and precision measurement techniques/equipment.

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 Product Infrastructure Advanced Operations Engineering Mechanical Team delivers mechanical solutions for Google Cloud, responsible for serving all of Google's functions and customers. Be part of a team that pushes boundaries, developing custom electro-mechanical solutions for the future of Google's Cloud computing and Machine Learning. Your expertise will shape the next generation of hardware, delivering unparalleled performance, efficiency, and scale.

As a Manufacturing Engineer for mechanical solutions, you will be a technical process and product development lead for all of Google's compute hardware, including our industry leading AI solutions, serving all of Google's internal and external Cloud customers. Using a deep understanding of manufacturing processes such as stamping, molding, casting, extrusion, machining, assembly, you will enable product design and development for next generation E/M solutions at scale. With a background in Mechanical and Manufacturing Engineering, you will not only help guide qualification of new processes and suppliers but you will also guide teams to optimize designs, production processes, manufacturing lines, and vendors to help build better supply chains. With an understanding of design methods, tools, and requirements, you will advocate team efforts to provide DFx feedback, tolerance stack analysis, and mechanical design considerations to enable manufacturing, automation, and scalability.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $120000 - $172000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Serve as a go-to technical expert within a significant area of manufacturing engineering (e.g., tooling, automation, test, process development, DFX).
  • Help define the medium and long-term technical strategy and manufacturing architecture for scalability and influence the supply chain selection for next generation hardware to support Google Cloud and machine learning.
  • Drive initiatives that result in step-change improvements in cost, quality, efficiency, or capabilities.
  • Use advanced statistical tools to guide teams to make data driven decisions to improve product manufacturing and design.
  • Lead and influence across multiple teams, including Hardware Engineering, Product Design, Supply Chain, Operations, and Quality, to optimize product designs and manufacturing processes even in the competing priorities.
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