Manufacturing Engineer 2
Core
Develop and standardize manufacturing processes, tools, and best practices across suppliers and factory sites to drive yield improvement, production efficiency, and cost/cycle time reduction.
Role type
Manufacturing Engineer 2 (Process & Automation)
Builds
Production processes, line capability, factory readiness, and AI/ML/IoT data-driven models for anomaly detection and equipment failure prediction.
Domain
Manufacturing operations, enclosure and mechanical assembly, statistical process control
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Statistical process control (MSA/GRR, FMEA, DOE), root cause analysis, structured problem solving, Six Sigma principles, statistical analysis, 3D design tools, CAD suites, enclosure and mechanical assembly manufacturing processes, supplier validation and performance tracking, capacity assessment, engineering change execution, automation system development and qualification, high accuracy automation system development, AI/ML predictive model design and implementation, remote monitoring for operational efficiency, defect detection systems, quality improvement initiatives, schedule delay and capacity constraint mitigation, technical gap identification.
Preferred skills
Pro-E/Creo, SolidWorks, Mandarin, Vietnamese, patent or track record of engineering excellence.
Technologies
JMP, Minitab, 3D design tools, CAD suites, AI/ML, IoT, SPC, digital monitoring systems.
Responsibilities
Support development and standardization of manufacturing processes, tools, and best practices across suppliers and factory sites; assist with driving cost and cycle time reduction through process and operational improvements; contribute to the design and implementation of AI/ML, IoT, and data-driven models to detect anomalies and predict equipment failures; assist in supplier validation, performance tracking, and capacity assessment; support development of production processes, line capability, and factory readiness; implement automation, SPC, digital monitoring, and defect detection systems; support root cause analysis and quality improvement initiatives.
Seniority
Mid-level IC (1-5 years experience depending on degree)