Yield Engineer: Data-Driven Process Optimization

FLIR Systems, Inc.

Goleta (CA)

On-site

USD 114,000 - 151,000

Full time

11 days ago

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Benefits offered by this job

Health Insurance
401(k) with company match
Tuition Reimbursement
Paid Vacation & Holidays

Job summary

Teledyne Technologies Incorporated in Goleta, CA is seeking an engineer to improve product yield and manufacturing efficiency on advanced technology lines. You will collect and analyze process and metrology data to guide yield improvements and participate in device failure analysis to identify root causes and corrective actions.

The position requires experience in data analysis, yield monitoring, DOE, and failure analysis, with proficiency in JMP, Python, MATLAB, or SQL.

Qualifications

  • B.S. in engineering or science; M.S. preferred.
  • 2+ years experience as a Process, Manufacturing, Quality, or Design Engineer.

Responsibilities

  • Improve product yield and manufacturing efficiency across advanced technology production lines.
  • Collect, track, and analyze process and metrology data from multiple sources.
  • Participate in device failure analysis; identify root causes and implement corrective actions.
  • Generate yield dashboards and reports for management and engineering teams.
  • Collaborate with multiple engineering and operations disciplines; apply structured problem-solving methods.

Skills

Data analysis
Yield monitoring
DOE
Statistical methods
Failure analysis
Root cause
SEM/EDX
JMP
Python
MATLAB

Education

B.S. in engineering or science
M.S. preferred

Tools

JMP
Python
MATLAB
SQL
MES
SPC

Job description

Teledyne Technologies Incorporated in Goleta, CA is seeking an engineer to improve product yield and manufacturing efficiency on advanced technology lines. You will collect and analyze process and metrology data to guide yield improvements and participate in device failure analysis to identify root causes and corrective actions.

The position requires experience in data analysis, yield monitoring, DOE, and failure analysis, with proficiency in JMP, Python, MATLAB, or SQL.

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