Quality & Reliability Lead

About the role

The Quality & Reliability Lead drives product quality, manufacturing excellence, and reliability performance across Nova's portfolio. Working closely with Engineering, Manufacturing, Supply Chain, Service, and R&D, the role uses data‑driven decision making, structured problem solving, and continuous improvement to enhance yields, robustness, and customer satisfaction.

Key responsibilities

• Lead quality improvement initiatives focused on yield enhancement, defect reduction, and process stability.
• Establish and maintain Statistical Process Control (SPC) and conduct process capability analysis.
• Conduct root‑cause investigations using 8D, 5‑Why, Fishbone, Pareto, DOE, and FMEA methods.
• Manage NCR, CAPA, and corrective‑action processes, prioritising actions with evidence‑based analysis.
• Partner with Manufacturing, Engineering, Service, and Customer Support to resolve quality issues, complaints, and field incidents.
• Collaborate with suppliers to improve quality performance, conduct audits, and assess manufacturing controls.
• Define reliability qualification plans, test strategies, and acceptance criteria for new and existing products.
• Analyse field performance data (MTBF, MTTR) to identify trends and drive reliability improvements.

Required profile

• B.Sc. in Mechanical, Electrical, Materials, Industrial Engineering or a related technical discipline.
• 5+ years of experience in Quality Engineering, Reliability Engineering, Manufacturing Quality, or Product Quality within a high‑tech manufacturing environment.

Required skills

• Statistical Process Control (SPC) and statistical methods.
• Design of Experiments (DOE) and Process Capability Analysis.
• Failure Mode and Effects Analysis (FMEA) and Root‑Cause Analysis (8D, 5‑Why, Fishbone, Pareto).
• NCR and Corrective‑and‑Preventive Action (CAPA) management.
• Supplier audit and quality assessment.
• Reliability testing, MTBF/MTTR analysis, and reliability qualification planning.
• Use of AI and advanced analytics tools for data‑driven insights.