Quality (Inline Metrology & SPC) Engineer - Solar Cell
Michael Page View all jobs
- Gurgaon, Haryana
- Permanent
- Full-time
- Manage inline metrology tools and ensure measurement accuracy, stability, and repeatability.
- Implement robust calibration schedules, calibration traceability, and tool health monitoring.
- Drive MSA studies (GR&R, bias, linearity, stability) to validate measurement systems.
- Improve tool‑to‑tool and tool‑to‑offline correlation using structured data analysis.
- Design, deploy, and maintain SPC charts (X‑bar/R, I‑MR, EWMA, etc.) for critical process parameters.
- Set appropriate control limits and define rules for escalation and intervention.
- Lead process health reviews and take ownership of driving SPC‑based continuous improvements.
- Conduct RCA for SPC excursions and implement preventive actions across operations.
- Build and maintain real‑time dashboards for inline quality and process indicators.
- Lead DOE automation and integrate experiment results into centralized databases.
- Utilize correlation and regression analysis to identify trends affecting yield and quality.
- Collaborate with IT/Automation teams to maintain smooth data flow from factory equipment.
- Develop Python scripts to automate data extraction, cleaning, and statistical analysis.
- Improve experiment tracking systems and build automated quality alerts.
- Maintain structured, centralized databases for historical datasets, metrology logs, and SPC records.
- Translate VOC or cross‑functional feedback into measurable quality improvements.
- Support quality audits, PFMEA development, and digital quality transformation initiatives.
- Lead projects to reduce measurement variability, improve process capability, and strengthen inline inspection reliability.
- B.Tech / M.Tech in Engineering (Electronics, Mechanical, Industrial, Electrical, Computer Science, or related fields).
- Certification in Six Sigma / SPC / Quality Engineering is preferred.
- 1-6 years in inline metrology, SPC, or quality systems in high‑volume manufacturing (Solar Cells, Semiconductors, Automotive, Electronics).
- Experience with digital quality tools, automated data workflows, and statistical modeling.
- Background in real‑time factory data systems, sensors, and automated quality platforms.
- Strong knowledge of SPC concepts, control charts, and statistical data interpretation.
- Hands‑on experience with MSA, calibration, and metrology tool capability analysis.
- Ability to perform advanced correlation and trend analysis for process decision‑making.
- Working proficiency in Python for data analysis and automation (Pandas, NumPy, Matplotlib preferred).
- Familiarity with data dashboards (Power BI/Tableau), MES systems, and automated data pipelines.
- Understanding of DOE principles and structured problem‑solving.
- Strong analytical and structured problem‑solving mindset.
- Ability to collaborate across cross‑functional teams (Process, Equipment, Automation, IT).
- High attention to detail and comfort with large datasets.
- Proactiveness, ownership, and bias toward data‑driven decision‑making.
- Willingness to travel to the site as per the requirements of the role
- Opportunities to work on cutting-edge projects in a company with a great work culture
- Access to skill development and career growth opportunities.