Manufacturing Cost Engineer

Celestica International LPToronto, ON
Hybrid

About The Position

We are seeking a detail-oriented and analytical engineer to support our quoting and manufacturing planning process. This role is responsible for reviewing customer RFQs (Request for Quotation), evaluating technical requirements, and determining the labor, capital, and capacity needed to manufacture products efficiently and competitively. The ideal candidate combines strong engineering knowledge with practical manufacturing insight and cost analysis experience.

Requirements

  • 5+ years of experience in manufacturing, cost estimation, or process engineering (preferred)
  • Strong understanding of manufacturing processes (machining, fabrication, assembly, etc.)
  • Experience interpreting engineering drawings and specifications
  • Familiarity with cost modeling, labor standards, and capacity planning
  • Proficiency in Excel and/or cost estimation tools
  • Strong analytical, problem-solving, and communication skills
  • Experience working with RFQs in a manufacturing environment
  • Knowledge of ERP/MRP systems
  • Lean manufacturing or Six Sigma experience
  • Exposure to capital equipment planning and ROI analysis
  • Bachelor’s degree in Engineering (Mechanical, Industrial, Manufacturing, or related field)

Responsibilities

  • Review and analyze customer RFQ documents, drawings, and technical data
  • Develop accurate labor estimates required for product manufacturing
  • Assess manufacturing processes and identify required capital equipment or tooling investments
  • Evaluate production capacity and identify potential constraints or bottlenecks
  • Collaborate with cross-functional teams (engineering, operations, supply chain) to develop cost models
  • Provide recommendations for Design for Manufacturability (DFM) to improve efficiency, reduce cost, and mitigate risk
  • Support quotation development with detailed cost breakdowns and assumptions
  • Identify risks and opportunities within RFQs and propose mitigation strategies
  • Continuously improve estimating methodologies and tools
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