Conduct routine process capability and performance evaluations to ensure alignment with manufacturing standards.
Identify sources of process variation and yield loss; drive corrective and preventive actions to improve in-line practices, lot-on-hold (LOH) management, and overall process capability.
Execute LOH dispositions and collaborate with treatment teams to accelerate lot movement and minimize production delays.
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Process Optimization: Use regression and reinforcement learning to suggest optimal machine parameters (e.g., bond force, temperature profiles) for new product introductions (NPI).
Data Engineering: Build and manage data pipelines that ingest high-frequency sensor data from packaging equipment (e.g., Die Attach, Wire Bonders) via SECS/GEM or MQTT protocols.A/B Testing & Monitoring: Design experiments to validate model performance on the shop floor and monitor for "model drift" as machine parts wear down over time.
Core ML: 2+ years of experience with Python (Scikit-Learn, XGBoost, Pandas) and Deep Learning frameworks (PyTorch or TensorFlow).
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BOM Ecosystem Management: Lead the 2nd source strategy in collaboration with Global Procurement, driving multi-million dollar annual savings through material substitution, localization, and technical benchmarking.
Market Intelligence: Conduct deep-dive competitive analysis and market benchmarking to ensure ATSN’s BOM remains the most cost-competitive in the industry.
Scalable Leadership: Manage a diverse team of ~30 Indirect Labor (IDL) and ~20 Direct Labor (DL) professionals, fostering a culture of high performance and technical rigor.
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This is a full-time on-site role for a Slitting Engineer located in Nilai. The Slitting Engineer will be responsible for operating and managing slitting machines to convert large rolls of materials into smaller ones as per specifications. Daily tasks include setting up and operating the machinery, monitoring production, maintaining quality standards, troubleshooting technical issues, and ensuring efficient workflow in the slitting process. The role requires collaboration with the production team to meet production targets and adhere to safety protocols.
Analyze failing wafers with cross‑functional teams to identify root causes and implement corrective actions, including close collaboration with suppliers and customers.
Support manufacturing in achieving best‑in‑class cycle time, productivity, and On‑Time Delivery (OTD).
Lead and participate in cross‑functional (local/global) teams on new technology development, process transfers, and new product introductions.
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