Solar Process Integration Engineer: Yield & Data Analytics

ES Foundry; South Carolina; On-site; USD 90,000 - 130,000; Full time

Job summary

ES Foundry is seeking a Process Integration (PI) Engineer to optimize solar cell efficiency and yield in a fast-paced manufacturing environment. You will maintain and optimize inline testers (IV, EL, AOI) and lead data-driven failure analysis to improve production performance.

The role requires strong analytical skills, experience with JMP/Tableau, and coding ability in Python or similar. Collaboration across process steps and DOE-driven experiments will be essential to drive sustained yield

Qualifications

• Bachelor’s degree in a technical discipline and manufacturing experience.
• Experience in solar cell manufacturing preferred.
• Strong analytical and data-driven approach with practical problem-solving skills.
• Coding in Python, R or similar for automating data processing is a plus.
• Proficiency with JMP or Tableau to extract actionable insights from datasets.

Responsibilities

• Own inline inspection systems (IV/EL/AOI) and oversee testing equipment performance.
• Calibrate and maintain solar cell testers to ensure accurate data collection.
• Troubleshoot tester issues using data-driven and physics-based methods.
• Validate electrical parameters and benchmark against offline metrology tools.
• Improve defect detection algorithms using EL, AOI and metrology data.
• Perform detailed failure analysis with PL, QE, IR imaging and microscopy to identify defects.
• Correlate inline tester results with upstream/downstream processes for root cause analysis.
• Develop yield monitoring strategies integrating data from testers, metrology, and MES.
• Create automated data pipelines and scripts (Python/JSL) to streamline analysis.

Skills

Python scripting

Data analysis

DOE

Statistical methods

Education

Bachelor’s degree in engineering or related technical discipline

Engineering degree or equivalent diploma

Tools

JMP

Tableau

Python

Job description

ES Foundry is seeking a Process Integration (PI) Engineer to optimize solar cell efficiency and yield in a fast-paced manufacturing environment. You will maintain and optimize inline testers (IV, EL, AOI) and lead data-driven failure analysis to improve production performance.

The role requires strong analytical skills, experience with JMP/Tableau, and coding ability in Python or similar. Collaboration across process steps and DOE-driven experiments will be essential to drive sustained yield