Costing Engineer

Role Summary

The Costing Engineer is responsible for end‑to‑end cost estimation, control, and reporting across semiconductor fab construction (base‑build). The role develops benchmarked, defensible cost models supports design‑to‑cost decisions drives tendering/commercial rigor and ensures predictable CAPEX outcomes for cleanrooms, subfab structures, ultra‑high purity (UHP) utilities, abatement, and high‑density electrical/mechanical systems. You will collaborate with Facilities Engineering, Tool Install, Process/Equipment Engineering, QS/Commercial, Procurement, and Planning to deliver cost certainty from feasibility through handover.

Key Responsibilities:

1) Pre‑Construction / Feasibility & Concept

• Build Class 5-3 estimates for greenfield fabs, brownfield expansions, and capacity upgrades.

• Develop parametric cost models (cost per sqft cleanroom, per utility density) and maintain historical benchmarks by technology node and region.

• Identify scope/risks for cleanrooms (ISO 3-7), subfab, UPW/WWT, CDA/N₂, HPM gases, exhaust & abatement, electrical distribution, chilled water/HVAC.

2) Design Development / Front‑End Planning

• Provide design‑to‑cost inputs on cleanroom type, plenum heights, slab/vibration criteria (VC‑A to VC‑E), redundancy (N+1/2N), and specialty materials (FM‑approved, chemical‑resistant).

• Quantify and compare alternatives (modular utility skids vs stick‑build, ceiling grid/FFU density, substrate/trench layouts) with TCO/ROI implications.

• Align estimates with facility load from Process/Equipment Engineering and Line Planning.

• Able to prepare BOQs, rate build‑ups, and bid packages across C/S/A/M/E/P scopes if required.

• Lead RFQ/RFP processes: clarify scope, normalize bids, validate inclusions/exclusions (HPM compliance, seismic supports, cleanroom finishes).

• Create and defend should‑cost breakdowns for UHP piping, gas cabinets, bulk/CDA/N₂ systems, scrubbers/abatement, electrical switchgear, and modular skids.

3) Risk, Compliance & Governance

• Lead Quantitative Cost Risk Analysis (QCRA) model scenarios for commodity volatility (stainless/copper), lead times (switchgear/chillers), UHP welding productivity, certification failures.

• Ensure compliance with FM Global, NFPA/IFC, SCDF requirements, local codes, and internal audit.

• Keep documentation audit‑ready (assumptions, sources, bid tabs, approvals).

4) Reporting & Stakeholder Management

• Produce monthly cost reports, VE registers, risk logs, cash flow updates, and executive summaries.

• Present cost deltas for design changes and VE proposals with quantified savings and schedule impact.

• Interface with Facilities/Tool‑Install/Line Planning, QS/Commercial, Procurement, PMO, and suppliers/contractors.

Skills / Qualifications

Minimum Qualifications:

• Bachelor's degree in Quantity Surveying, Mechanical/Electrical Engineering, Construction Management, Industrial Engineering, or related field. Master's degree is a plus.

• 5-10+ years of cost engineering/estimating experience, with semiconductor fab or advanced manufacturing projects (cleanrooms, UHP, tool‑install) strongly preferred.

• Demonstrated competency in BOQ take‑offs, rate build‑ups, estimating classes, tender evaluations, and cost control.

• Solid understanding of cleanroom systems, UHP piping, HPM compliance, abatement, power & mechanical redundancy, and vibration criteria.

• Good analytical skills with problem solving aptitude.

• Skills in excel and simple code writing desired.

• Ability to integrate and work in a global multicultural team

• Great leadership, interpersonal skills and team building spirit.

• Excellent communication skills, both written and verbal.

Preferred Experience & Skills

• Experience with greenfield megaprojects or fast‑track brownfield fab upgrades.

• Familiarity with FM Global, NFPA/IFC, SCDF guidelines, and local regulatory processes.

• Proficiency with:

• Estimating/QS tools: CostX/PlanSwift/CCS Candy/WinQS, Bluebeam

• Planning/Control: Primavera P6, MS Project, ERP (SAP/Oracle), Power BI/Excel modeling

• Risk: @Risk/Crystal Ball (Monte Carlo)

• Strong data/analytics capability can build parametric models and reconcile top‑down vs bottom‑up estimates.

• Excellent written/oral communication able to defend estimates with evidence and negotiate variations.