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Facility Engineer Jobs

6,367 active opportunities Β· Updated for October 2026

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Explore current facility engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

I
Intel
πŸ“ Penang, Malaysia
1mo ago

Job Details: Job Description: We are seeking experienced and highly driven individuals to support the Penang Assembly and Test Manufacturing facility as a New Product Integrator. This role is responsible for coordinating and executing New Product Introduction (NPI) activities to ensure successful product startup from engineering builds through high volume manufacturing (HVM). Responsibilities / Expectations: β€’ Plan and manage NPI execution activities as a product integrator, supporting the development, implementation, and ramp of new technologies or products for external customers. β€’ Act as the primary coordination point for NPI build execution, engaging cross functional teams across engineering, manufacturing, quality, and supply chain to enable successful product startup. β€’ Develop and manage detailed NPI execution plans, including task identification, dependency definition, effort and duration estimation, and project schedule tracking. β€’ Track and publish Performance Against Schedule, ensuring achievement of Critical Success Indicators (CSIs) across key NPI milestones, including: o Recipe Check Out o Power On o Engineering Sample o Quality Sample o Factory Certification o Manufacturing Validation β€’ Ensure manufacturing readiness by coordinating system setup, process flow definition, material readiness, and capacity availability to support NPI builds and data collection. β€’ Understand product and process challenges and work closely with technical experts across multiple groups to identify solutions and drive Design for Manufacturing (DFM) alignment during NPI execution. β€’ Proactively identify improvement opportunities and support improvement actions to enhance NPI delivery effectiveness, predictability, and quality. β€’ Lead investigation of issues impacting NPI deliverables, perform structured root cause analysis, align risk mitigation actions, and coordinate resolutio

project managementPMPsupply chain
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SI
12 days ago

Job Description (JD) for MEP Engineer - Electrical Lead Projects & Site Integration. Experience Minimum 8 to 12 years of relevant experience in industrial pharmaceutical FMCG chemical manufacturing or process industry projects. Proven experience in handling electrical systems control systems for greenfield and brownfield projects. Experience in project execution commissioning and plant integration activities. Technical Competencies Electrical power distribution systems (HT/LT) Transformers switchgear MCCs PCCs UPS and DG systems Load calculations and power system studies Earthing and lightning protection systems Electrical safety standards and statutory compliance FAT SAT commissioning and start-up support Technical Bid Analysis (TBA) Vendor and contractor management AutoCAD and electrical drawing review Project planning and execution methodologies Excellent stakeholder management and communication skills Problem-solving and troubleshooting mindset Result-oriented with strong project ownership Effective planning organizing and execution skills Address: D-3/CL, MIDC Industrial Area,Turbhe, Navi Mumbai. 400705 Facility: ZOETIS PHARMACEUTICAL - NAVI MUMBAI Qualification: Post graduate Experience: 8 - 12 years Source: Sodexo India | Job Code: IJP575825

SI
12 days ago

Job Description (JD) for MEP Engineer - Mechanical Lead Projects & Site Integration. Position Summary The incumbent will be responsible for leading engineering design project execution qualification validation commissioning and GMP compliance activities for pharmaceutical manufacturing facilities sterile processing areas NPSB facilities warehouses utilities and associated infrastructure. The role requires end-to-end responsibility from project initiation through facility handover while ensuring compliance with cGMP GEP WHO USFDA EU GMP and ISPE guidelines. Address: D-3/CL, MIDC Industrial Area,Turbhe, Navi Mumbai. 400705 Facility: ZOETIS PHARMACEUTICAL - NAVI MUMBAI Qualification: Post graduate Experience: 10 - 15 years Source: Sodexo India | Job Code: IJP575826

O
OpenAI
πŸ“ San Franciscoβ€’ Full-time
1mo ago

About the Team OpenAI’s Industrial Compute team is building and productizing infrastructure capabilities that help organizations deploy and operate advanced AI systems at scale. The team works across AI hardware, systems engineering, physical infrastructure, and customer delivery to turn emerging technologies into reliable, repeatable infrastructure solutions. Our work sits at the intersection of technical strategy, product development, engineering, and deployment. We partner closely with customers and internal engineering teams to solve complex infrastructure challenges spanning compute, power, cooling, controls, and facility efficiency. About the Role We are seeking a senior, hands-on Data Center Infrastructure Architect to develop and optimize the physical infrastructure required for large-scale AI deployments. This is a broad technical role spanning data center architecture, electrical and mechanical systems, high-density compute, controls, telemetry, and digital modeling. You will use simulation, operational data, and digital-twin approaches to evaluate infrastructure designs, identify system-level constraints, and improve efficiency, reliability, cost, and speed of deployment. The ideal candidate can move fluidly between first-principles analysis, facility and equipment design, computational modeling, engineering review, and real-world implementation. You should be comfortable working across disciplines rather than operating solely within electrical, mechanical, or software boundaries. Key Responsibilities Define system-level architectures for high-density AI data centers across power, cooling, IT equipment, controls, and facility infrastructure. Develop digital twins and other computational models that represent the behavior of data center systems under changing workloads, environmental conditions, equipment configurations, and failure scenarios. Use design and operational data to identify constraints, improve PUE and related efficiency metrics, and optimize

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