Manufacturing Systems Administrator, Quantum AI

3 Months ago • All levels • Manufacturing • $111,000 PA - $163,000 PA

Job Summary

Job Description

As a Manufacturing Systems Administrator for Google's Quantum AI, you'll be responsible for managing and optimizing Google's Manufacturing Execution Systems (MES) that drive the production of quantum devices. You'll work closely with the production team to ensure smooth operations, troubleshoot issues, and implement new solutions. You'll be responsible for scheduling, dispatching, reporting, and automating wafer movements within the Quantum Fab, managing operations, routes, recipes, and equipment transactions in MES. You'll work closely with engineers from various teams, including wafer-process, die-process, packaging, equipment, process techs, operations, Operating System (OS)/Service Worker (SW), facilities, and vendors. You'll design and implement data analytics pipelines and reporting solutions for the Engineering team.
Must have:
  • Bachelor's degree or equivalent practical experience
  • Experience with Manufacturing Execution Systems (MES) and MES vendors
  • Experience with routes, operations and lot flow in clean room fabrication or manufacturing plant
  • Experience working in or with personnel in a clean room or manufacturing environment
Good to have:
  • Experience with microfabrication or manufacturing equipment and processes
  • Ability to give attention to details, and work independently
  • Excellent verbal and written communication skills
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree or or equivalent practical experience.
  • Experience working with Manufacturing Execution Systems (MES) and MES vendors.
  • Experience with routes, operations and lot flow in clean room fabrication or manufacturing plant.
  • Experience working in or with personnel in a clean room or manufacturing environment.

Preferred qualifications:

  • Experience with microfabrication or manufacturing equipment and processes.
  • Ability to give attention to details, and work independently.
  • Excellent verbal and written communication skills.

About the job

In this role, you will be responsible for Google's Manufacturing Execution Systems (MES) that make it possible to schedule, dispatch, report and automate wafer movements in Google's Quantum Fab. You will have knowledge of MES systems, configuration, customization, recipe management, data collection, and reporting.

You will work with the Production team to address issues as they arise and escalate issues to vendors as needed. This role will engage and interact with engineers from wafer-process, die-process, packaging, equipment, process techs, operations, Operating System (OS)/Service Worker (SW), facilities, and vendors to implement best-practices and training programs for MES.

The US base salary range for this full-time position is $111,000-$163,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

Responsibilities

  • Develop scheduling, dispatching, reporting and automation solutions for Manufacturing Execution Systems (MES) for the Quantum device fabrication.
  • Manage operations, routes, recipes, work in progress (WIP)-priority, and equipment transactions in MES.
  • Responsible for setting up operations and routes for production and engineering use.
  • Develop change management for MES upgrades and configuration changes, as well as work with Vendor, Fabrication, and internal Operating System (OS)/Service Worker (SW) team on documentation, notification, and training.
  • Work with the OS/SW team to design and setup data analytics pipelines and reporting solutions for the Engineering team. 

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