Epitaxial Process & Metrology Engineer

globalhr

Goleta (CA)

On-site

USD 96,000 - 182,000

Full time

5 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) match
Paid time off & holidays

Job summary

RTX is seeking a Scientist or Engineer to contribute to production epitaxial diodes at Raytheon Vision Systems. You will focus on execution and process improvements for infrared sensor materials in a controlled, clean-room environment, collaborating with a multi-disciplinary team to meet manufacturing goals.

You will analyze metrology data, develop equipment drawings, support tooling, and apply statistical methods to control processes and improve yield, with emphasis on safety and quality in a

Qualifications

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience.
  • Experience in semiconductor environment.

Responsibilities

  • Work in controlled areas, cleanrooms, laboratories etc.
  • Directly work with semiconductor materials & process chemicals.
  • Utilized of common metrology techniques to quantify crystalline growth.
  • Develop fundamental understanding of epitaxial processes
  • Develop equipment, tooling and facility drawings using common CAD software
  • Perform data and failure analysis for process yield improvements
  • Apply advanced mathematical methods for data analysis
  • Apply statistical methods and their relevance for process control
  • Use common software tools for data manipulation and data extraction such as: Matlab, Minitab, MS Excel, ProE
  • Ownership automated electronic control systems

Skills

Semiconductor experience
Data analysis
Metrology
CAD software

Education

STEM degree

Tools

CAD software

Job description

RTX is seeking a Scientist or Engineer to contribute to production epitaxial diodes at Raytheon Vision Systems. You will focus on execution and process improvements for infrared sensor materials in a controlled, clean-room environment, collaborating with a multi-disciplinary team to meet manufacturing goals.

You will analyze metrology data, develop equipment drawings, support tooling, and apply statistical methods to control processes and improve yield, with emphasis on safety and quality in a

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