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AI Job Summary

Develop and refine backend device processes including die singulation, hybridization, and characterization while collaborating across design, test, and packaging teams. Requires a bachelor's degree in Electrical Engineering, Physics, Computer Science, or related field, plus one year each in cleanroom environments, statistical process control or electrical testing, and hybridization techniques like flip-chip bonding. Operate equipment, troubleshoot issues, analyze process data for yield improvement, and maintain backend infrastructure.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Partner closely with other teams (e.g., design, test, frontend, packaging) to integrate new backend modules into devices, develop and refine device probing, packaging, and measurement methodologies, and ensure successful product delivery and customer satisfaction.
  • Lead the sustainment and development of die singulation, die preparation, device hybridization modules and device characterization.
  • Operate and maintain associated equipment to ensure optimal process outcomes and provide rapid, expert troubleshooting of process and equipment issues to minimize downtime and maintain production goals.
  • Design, build, and maintain backend process infrastructure to enhance efficiency, organization, and scalability. Implement standardized work practices and optimize workflows for streamlined operations.
  • Analyze process data to identify trends, improve stability, and drive continuous yield improvement.

Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  • 1 year of experience in a wafer level or die level cleanroom environment.
  • 1 year of experience with one or more of the following: SPC (statistical process control), Electrical test (Probing), Metrologies (SEM, XPS, Interferometry), or Failure analysis.
  • 1 year of experience in hybridization techniques, including flip chip bonding, die handling and post bonding measurement.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
  • Experience with developing novel bump materials, scaling up die sizes, flip-chip bonding or designing structural bonding solutions.
  • Experience with characterization techniques including SEM, XPS, confocal microscopy, and interferometry.
  • Experience with statistical process control and failure analysis activities.
  • Experience with data analysis and visualization tools such as JMP, Python, or SQL.
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  • 1 year of experience in a wafer level or die level cleanroom environment.
  • 1 year of experience with one or more of the following: SPC (statistical process control), Electrical test (Probing), Metrologies (SEM, XPS, Interferometry), or Failure analysis.
  • 1 year of experience in hybridization techniques, including flip chip bonding, die handling and post bonding measurement.
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  • Role Fabrication Backend Process Engineer, Quantum AI
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

Job Overview

Approx. salary range

152K – 249K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 160 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
6 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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