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AI Job Summary

Design and maintain test fixturing for component and system testing across room temperature and cryogenic environments. Develop test methods, perform data analysis, and support root cause investigations. Requires a Bachelor's degree in Electrical Engineering, Computer Science, Physics, or related field, plus three years each in electrical testing and statistical analysis tools. Python, data visualization, and PCB design experience preferred.

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

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Job Description

  • Specify, design, and maintain mechanical, electrical, and thermal test fixturing for component, sub-assembly, and system testing.
  • Develop new test methods for both room temperature and cryogenic environments.
  • Partner with software and hardware teams to assure test and yield data are traceable and accessible for fast decision-making.
  • Perform data analysis in support of new tests and root cause analysis.
  • Work with internal hardware teams and vendors to create pass/fail criteria and automation for test analysis.

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.
  • 3 years of experience with electrical testing.
  • 3 years of experience using statistical and data analysis tools.

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 data visualization libraries like Plotly or matplotlib and experience contributing to and collaborating within a shared codebase.
  • Experience with cryogenic testing.
  • Proficiency in data analysis using tools such as Python, JMP, ReliaSoft, or similar.
  • Familiarity with PCB design principles.and understanding of mechanical design fundamentals.
  • Familiarity with electrical noise and measurement sensitivity.
  • 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.
  • 3 years of experience with electrical testing.
  • 3 years of experience using statistical and data analysis tools.
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  • Role Systems Yield 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.

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Job Overview

Approx. salary range

185K – 264K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 31 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:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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