Staff Defect Metrology AI/ML Engineer

Job overview

The Staff Defect Metrology AI/ML Engineer role is onsite in Goleta, CA, with an annual pay range of $120,000–$160,000. Renesas develops embedded semiconductor solutions for automotive, industrial, infrastructure, and IoT applications. This engineer provides technical leadership in semiconductor defect inspection, analytics, and detection capabilities. The work uses metrology data and AI/ML methods to improve product quality, process control, and manufacturing yield.

What you'll do

• Develop image-processing algorithms and AI/ML models to detect, classify, and quantify semiconductor defects
• analyze wafer inspection, metrology, and MOCVD datasets
• build automated analysis and visualization workflows
• correlate substrate and epitaxial defects
• integrate defect, process, equipment, and wafer-level data
• partner with engineering teams on defect excursions
• improve inspection methods, calibrations, and classification strategies
• maintain metrology system and data integrity
• apply DOE, SPC, statistical modeling, and visualization
• communicate findings and recommendations.

What we're looking for

Skills & competencies

staff engineer

defect metrology

ai/ml

semiconductor

python

image processing

mocvd

goleta ca

renesas

$120k–$160k/year

full-time

day shift

weekend work

no on-call

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical, dental, vision, health savings and flexible spending accounts, commuter benefits, life and AD&D insurance, pet insurance, short-term medical benefits, LTD, paid sick time, paid holidays, and accrued paid vacation.

Why this role

Combines hands-on semiconductor metrology with Python, image processing, and AI/ML; supports the MOCVD team.

About the employer

Renesas is hiring for this role. Industry: Engineering Services. Sector: 54.