Yield Engineer: Data-Driven Quality & Process Improvement

FLIR Systems, Inc.; Goleta, Northern (CA, KY); Hybrid; USD 114,000 - 151,000; Full time

Benefits offered by this job

Health, dental, vision

401(k) with company match

Employee stock purchase plan

Tuition reimbursement

Paid time off

Job summary

Teledyne Technologies Incorporated is seeking a Process/Manufacturing/Quality Engineer to improve product yield across advanced production lines. You will collect and analyze data, perform failure analysis, and implement corrective actions to enhance reliability.

The role requires experience in data analytics, DOE/ANOVA, and cross-functional collaboration with engineering and operations teams. U.S. citizenship or permanent residency is required.

Qualifications

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

Responsibilities

• Improve product yield and manufacturing efficiency across advanced tech lines.
• Collect, track, and analyze process/metrology data to guide yield improvements.
• Perform failure analysis to identify root causes and implement corrective actions.
• Generate yield dashboards and reports for management and engineering teams.
• Collaborate across engineering and operations to drive improvements.
• Apply structured problem-solving methodologies (Kepner-Tregoe, DMAIC, 8D, 6-sigma).

Skills

Data analysis

Yield monitoring

DOE / ANOVA

Failure analysis

Statistical methods

Problem solving (Kepner-Tregoe, DMAIC)

Semiconductor knowledge

Electrical test data

Programming (Python/MATLAB)

Education

B.S. in engineering or science

M.S. preferred

Tools

JMP

Python

MATLAB

SQL

SEM / FIB / EDX

Job description

Teledyne Technologies Incorporated is seeking a Process/Manufacturing/Quality Engineer to improve product yield across advanced production lines. You will collect and analyze data, perform failure analysis, and implement corrective actions to enhance reliability.

The role requires experience in data analytics, DOE/ANOVA, and cross-functional collaboration with engineering and operations teams. U.S. citizenship or permanent residency is required.