Work Planning Engineer

Clark Development Corporation; Philippines; Hybrid; PHP 1,339,000 - 2,344,000; Full time

Job summary

ETS PRODUCTS PHILIPPINES, INC. seeks an experienced Scheduling Engineer to optimize AI-driven production planning for metal fabrication. You will translate shop-floor constraints into software rules and integrate AI modules with ERP/MES and CAD/CAM nesting tools.

Responsibilities include benchmarking solutions, leading implementation, and maintaining machine telemetry-driven scheduling with real-time labor constraints, plus generating cycle-time analytics to improve accuracy.

Qualifications

• Bachelor's degree in Mechanical Engineering, Manufacturing/Industrial Engineering, or a highly technical related field.
• 3–5+ years of planning inside high-mix, low-volume metal fabrication or assembly plants.
• Thorough understanding of data-driven scheduling rules, algorithmic constraints, and predictive machine-learning engines.
• Ability to interpret operational dashboards, spot floor data anomalies, and diagnose why the scheduling engine shifted a pipeline.
• Fluency with 3D design software (SolidWorks/AutoCAD) and industrial nesting programs (e.g., TruTops, Lantek, Radan, CYPCUT).
• Deep comprehension of sheet metal K-factors, grain orientation, bend deductions, and weld distortion.
• Comprehensive skill reading advanced mechanical blueprints, Geometric Dimensioning and Tolerancing (GD&T), and AWS/ISO welding symbols.
• Direct background scheduling industrial lasers, multi-axis press brakes, MIG/TIG welding, and mechanical assemblies.
• Hands-on experience with modern ERP/MES systems (e.g., SAP, Epicor, Odoo) alongside Advanced Planning and Scheduling (APS) software.

Responsibilities

• Translate plant-floor constraints into software rules and lead AI-driven scheduling implementations.
• Benchmark, select, and integrate AI scheduling modules with ERP/MES/CAD-CAM nesting databases.
• Manage AI-driven scheduling engines using machine telemetry and real-time labor constraints.
• Monitor rescheduling outputs and override AI during major disruptions.
• Map production steps across fiber lasers, CNC press brakes, welding stations, and manual assemblies.
• Use predictive analytics to simulate shop floor capacity constraints and proactively smooth machine loads.
• Review advanced nesting options to maximize sheet metal efficiency and coordinate scrap reclamation.
• Compile comprehensive production files including flat-pattern DXF files, bending sequences, and Weld Procedure Specifications (WPS).
• Run production cycle-time audits to feed historical data back into the AI system, sharpening scheduling accuracy.

Skills

AI-driven scheduling

Manufacturing planning

Data-driven scheduling

3D design software

ERP/MES systems

Machine learning

GD&T

AutoCAD/SolidWorks

Lean manufacturing

Operations dashboards

Education

Bachelor's degree in Mechanical Engineering or related field

Tools

Odoo 18

SAP

Epicor

TruTops

Lantek

Radan

CYPCUT

Job description

• Analyze, benchmark, and select third-party AI-driven scheduling software, plugins, and ERP add-ons that match fabrication floor capabilities
• Lead the implementation of chosen AI modules, translating plant-floor constraints (e.g., machine setups, tool availability) into software rules
• Partner with internal IT and external software vendors to securely link the AI scheduling module with existing ERP (Odoo 18), MES, and CAD/CAM nesting databases
• Manage AI-driven scheduling engines to generate optimal shop floor jobs based on machine telemetry and real-time labor constraints
• Monitor automated rescheduling outputs, resolving exceptions or manually overriding the AI engine during major disruptions
• Map production steps across fiber lasers, CNC press brakes, welding stations, and manual assembly lines
• Use predictive analytics to simulate shop floor capacity constraints and proactively smooth machine loads
• Review advanced software nesting options to maximize sheet metal efficiency and coordinate scrap reclamation
• Compile comprehensive production files including flat-pattern DXF files, bending sequences, and Weld Procedure Specifications (WPS)
• Run production cycle-time audits to feed historical data back into the AI system, sharpening scheduling accuracy

Job Qualifications

• Bachelor's degree in Mechanical Engineering, Manufacturing/Industrial Engineering, or a highly technical related field
• 3 to 5+ years of planning inside high-mix, low-volume metal fabrication or assembly plants
• Thorough understanding of data-driven scheduling rules, algorithmic constraints, and predictive machine-learning engines
• Ability to interpret operational dashboards, spot floor data anomalies, and diagnose why the scheduling engine shifted a pipeline
• Fluency with 3D design software (SolidWorks/AutoCAD) and industrial nesting programs (e.g., TruTops, Lantek, Radan, CYPCUT)
• Deep comprehension of sheet metal K-factors, grain orientation, bend deductions, and weld distortion
• Comprehensive skill reading advanced mechanical blueprints, Geometric Dimensioning and Tolerancing (GD&T), and AWS/ISO welding symbols
• Direct background scheduling industrial lasers, multi-axis press brakes, MIG/TIG welding, and mechanical assemblies
• Hands-on experience with modern ERP/MES systems (e.g., SAP, Epicor, Odoo) alongside Advanced Planning and Scheduling (APS) software

Job Overview

Company ETS PRODUCTS PHILIPPINES, INC.

Employment Type Full-Time

Experience 3-5 Years

Personnel Needed 1 Open

Category Operations & Logistics

Services Supply Chain Management, Project Management, Supervisory Skills, Mastercam Programming Software