Jobs at Entegris

Design, implement, and operate forecasting and ML solutions to improve 18-month demand accuracy. Manage forecast and pricing data in SAP IBP, analyze large datasets, build dashboards in Power BI, partner with cross-functional teams, and continuously refine forecasting methodologies to drive supply chain decisions and business outcomes.

Support Southeast Asia customers on product and process quality, drive customer communications and scorecard improvements, lead NPI/HVM quality activities (control limits, control plans, capability reviews), investigate SPC/OOC events, manage customer complaints and corrective actions, conduct audits and site visits, and coordinate quality systems (eCoA, PCNs) with internal teams.

Lead and scale an enterprise Digital Design & Material Innovation Center. Define strategy, governance, and reference architectures for physics-based, data-driven, and hybrid AI/physics modeling. Build global multidisciplinary teams, standardize modeling and validation practices, partner with CIDO for scalable compute and secure deployments, prioritize portfolio investments, and engage external research partners to accelerate materials and product innovation.

Lead and transform Demand Planning for Asia: manage demand data, align forecasts via S&OP with sales, supply and finance, drive forecast accuracy and process improvements, act as regional planning spokesperson, and deliver executive reporting and governance.

Lead regional quality strategy and execution for Asia semiconductor plants. Drive zero-defect and high-reliability outcomes through QMS ownership, customer escalations, data-driven root cause analysis (8D, RCA, Six Sigma), CAPA closure, Lean initiatives, and cross-site standardization. Build and mentor multi-site QE/CQE teams, align with global stakeholders, and ensure readiness for customer qualification and audits.

Design, build, deploy, and operationalize LLM-driven agentic AI systems and scientific ML solutions. Create Python pipelines, data preprocessing for time-series/spatial data, integrate agents with tools/APIs and simulation workflows, implement monitoring and validation, visualize results, and collaborate with domain experts to embed AI into engineering workflows.