JV
Layout Engineer
Accepting applicationsJobs via Dice · United States
Full-Time Senior AIPythonaiasicate
Posted
1d ago
Category
Test
Experience
Senior
Country
United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, UnivEdge Consulting LLC, is seeking the following. Apply via Dice today!
Role Overview:
The Layout Engineer will be responsible for end-to-end site and factory layout management, including building-level and campus-level planning.
This role focuses on designing, optimizing, and scaling manufacturing facilities by integrating production systems, material flow, warehouse perations, and site infrastructure into a cohesive and efficient layout.
The ideal candidate will combine industrial engineering expertise, data-driven analysis, and cross-functional leadership to support large-scale manufacturing growth.
Key Responsibilities:
Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations
Build and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis
Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems
Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis
Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components
Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities
Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement
Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow
Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies
Integrate PFEP (Plan for Every Part) data into models to optimize material flow, storage, and line-side delivery strategies
Support factory layout, site planning, and material flow decisions through data-driven insights and modeling
Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans
Utilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance
Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
Collaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Finance, Engineering) to align models with real-world constraints and business needs
Translate complex analytical outputs into clear, executive-level insights and recommendations
Collaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-making AI & Data Systems
Introduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-making
Design and manage scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics
Develop standardized systems, frameworks, and governance for data modeling, analytics, and reporting
Automate data collection, validation, and reporting pipelines using AI and advanced analytics tools
Enable predictive analytics and intelligent decision-making for capacity, throughput, and cost optimization
Establish best practices for data quality, model standardization, and system integration across the organization
Basic Qualifications:
Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field
7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles
Key Skills & Competencies:
Strong analytical and data-driven decision-making skills
Ability to manage complex, cross-functional projects across site and factory levels
Excellent communication skills with the ability to influence stakeholders from shop floor to executive leadership
Systems-thinking mindset with attention to detail
Proven ability to manage multiple priorities in a fast-paced, high-growth environment
Preferred Qualifications:
Experience building end-to-end IE models integrating capacity, labor, cost, PFEP, and material flow
Proficiency in capacity modeling, OEE analysis, cycle time studies, and line balancing
Hands-on experience with PFEP, material flow optimization, and warehouse integration
Experience with factory simulation tools (e.g., FlexSim, AnyLogic, Simio)
Strong experience in business case development (ROI, IRR, NPV)
Knowledge of COGS modeling, cost structures, and financial impact analysis
Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau, or similar
Familiarity with AI/ML applications in manufacturing analytics (preferred)
Familiarity with lean manufacturing and continuous improvement methodologies
Key Skills & Competencies:
Strong analytical and problem-solving skills with a data-driven mindset
Ability to build scalable models and analytics systems that support both tactical and strategic ecisions
Strong communication skills to translate complex data into actionable insights
Ability to work across cross-functional teams and influence decision-making
Attention to detail with a systems-level understanding of manufacturing operations
Ability to manage multiple projects and priorities in a fast-paced environment
Basic Qualifications:
Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or related field
7+ years of experience in site/factory layout planning, industrial engineering, or manufacturing systems
Experience in large-scale manufacturing environments (e.g., automotive, battery, energy, or heavy industry)
Strong understanding of site planning, material flow, and facility design principles
Preferred Qualifications:
Experience in greenfield site development and large-scale factory ramp-up
Proven experience in site master planning, including yard design, dock strategy, and infrastructure planning
Hands-on experience with PFEP, warehouse design, and material handling systems (AGVs, AMRs, conveyors)
Proficiency in layout tools such as AutoCAD, Revit, or similar 2D/3D design software
Experience with simulation tools (e.g., FlexSim) for factory and logistics modeling
Strong knowledge of Capacity Model and Labor industrial engineering methodologies (OEE, line balancing, takt time, cycle time analysis)
Experience working with construction and facilities teams on site execution and infrastructure integration
Familiarity with safety, environmental, and regulatory considerations in site design
Show more Show less
Role Overview:
The Layout Engineer will be responsible for end-to-end site and factory layout management, including building-level and campus-level planning.
This role focuses on designing, optimizing, and scaling manufacturing facilities by integrating production systems, material flow, warehouse perations, and site infrastructure into a cohesive and efficient layout.
The ideal candidate will combine industrial engineering expertise, data-driven analysis, and cross-functional leadership to support large-scale manufacturing growth.
Key Responsibilities:
Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations
Build and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis
Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems
Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis
Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components
Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities
Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement
Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow
Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies
Integrate PFEP (Plan for Every Part) data into models to optimize material flow, storage, and line-side delivery strategies
Support factory layout, site planning, and material flow decisions through data-driven insights and modeling
Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans
Utilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance
Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
Collaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Finance, Engineering) to align models with real-world constraints and business needs
Translate complex analytical outputs into clear, executive-level insights and recommendations
Collaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-making AI & Data Systems
Introduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-making
Design and manage scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics
Develop standardized systems, frameworks, and governance for data modeling, analytics, and reporting
Automate data collection, validation, and reporting pipelines using AI and advanced analytics tools
Enable predictive analytics and intelligent decision-making for capacity, throughput, and cost optimization
Establish best practices for data quality, model standardization, and system integration across the organization
Basic Qualifications:
Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field
7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles
Key Skills & Competencies:
Strong analytical and data-driven decision-making skills
Ability to manage complex, cross-functional projects across site and factory levels
Excellent communication skills with the ability to influence stakeholders from shop floor to executive leadership
Systems-thinking mindset with attention to detail
Proven ability to manage multiple priorities in a fast-paced, high-growth environment
Preferred Qualifications:
Experience building end-to-end IE models integrating capacity, labor, cost, PFEP, and material flow
Proficiency in capacity modeling, OEE analysis, cycle time studies, and line balancing
Hands-on experience with PFEP, material flow optimization, and warehouse integration
Experience with factory simulation tools (e.g., FlexSim, AnyLogic, Simio)
Strong experience in business case development (ROI, IRR, NPV)
Knowledge of COGS modeling, cost structures, and financial impact analysis
Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau, or similar
Familiarity with AI/ML applications in manufacturing analytics (preferred)
Familiarity with lean manufacturing and continuous improvement methodologies
Key Skills & Competencies:
Strong analytical and problem-solving skills with a data-driven mindset
Ability to build scalable models and analytics systems that support both tactical and strategic ecisions
Strong communication skills to translate complex data into actionable insights
Ability to work across cross-functional teams and influence decision-making
Attention to detail with a systems-level understanding of manufacturing operations
Ability to manage multiple projects and priorities in a fast-paced environment
Basic Qualifications:
Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or related field
7+ years of experience in site/factory layout planning, industrial engineering, or manufacturing systems
Experience in large-scale manufacturing environments (e.g., automotive, battery, energy, or heavy industry)
Strong understanding of site planning, material flow, and facility design principles
Preferred Qualifications:
Experience in greenfield site development and large-scale factory ramp-up
Proven experience in site master planning, including yard design, dock strategy, and infrastructure planning
Hands-on experience with PFEP, warehouse design, and material handling systems (AGVs, AMRs, conveyors)
Proficiency in layout tools such as AutoCAD, Revit, or similar 2D/3D design software
Experience with simulation tools (e.g., FlexSim) for factory and logistics modeling
Strong knowledge of Capacity Model and Labor industrial engineering methodologies (OEE, line balancing, takt time, cycle time analysis)
Experience working with construction and facilities teams on site execution and infrastructure integration
Familiarity with safety, environmental, and regulatory considerations in site design
Show more Show less