Lead the development, maintenance, and enhancement of advanced digital capacity models supporting long‑range planning and enterprise decision‑making in Orthopaedics.
Compensation
The anticipated base pay range for this position is:
€64,300.00 - €102,925.00
Responsibilities
Develop, maintain, and continuously improve Strategic Capacity Management models that support long‑range planning and enterprise decision‑making.
Build and manage end‑to‑end supply chain models incorporating manufacturing and distribution networks, production routings, bill of materials, capacity constraints, inventory policies, and future investment plans.
Perform scenario analysis to evaluate capacity expansion opportunities, sourcing strategies, process improvements, network redesign initiatives, and demand uncertainty.
Support annual Long‑Range Portfolio Planning (LRPP) and Long Range Financial Plan (LRFP) cycles by assessing future capacity requirements and identifying potential supply risks across a 2‑to‑10‑year planning horizon.
Partner with Manufacturing, Business Excellence, Planning, Source, Deliver, Engineering, Finance, Product Management, and Value Stream Leadership teams to ensure model accuracy and alignment with business priorities.
Requirements
Bachelor's degree in Supply Chain, Engineering, Operations Research, Industrial Engineering, Data Science, Mathematics, Business Analytics, or a related STEM discipline.
Nice to have: Master's degree in Engineering, Supply Chain, Operations Research, Analytics, Business, or a related field.
Nice to have: Experience with planning and analytics tools such as OMP, SAP, Power BI, Tableau, Alteryx, SQL, Python, R, Simio, AnyLogic.
Nice to have: Experience supporting long‑range planning, strategic planning, network design, or capacity management processes.
Nice to have: Experience working in a global matrix organization and collaborating with geographically dispersed teams.
Designs and maintains quantitative models to forecast business outcomes and stress-test strategic scenarios across GE Vernova's capital projects.
Compensation
For candidates applying to a U.S. based position, the pay range for this position is between $91,700.00 and $152,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.
Responsibilities
Develop high-fidelity simulations replicating complex business environments
Use models to stress-test initiatives, quantify risk, and project impact of variables
Convert raw simulation outputs into clear, decision-ready recommendations
Support lean transformation roadmap by validating process and capacity scenarios
Build high-value business cases for capital investment
Requirements
Bachelor's degree in Engineering, Operations, Industrial Engineering, or related field
Seeking a highly motivated Staff Advance Industrial Engineer to design, optimize, and scale world-class manufacturing systems for advanced aerospace products, including factory- system design and greenfield facility execution.
Responsibilities
Lead factory layout development, production line design, and manufacturing system optimization for new and existing production programs.
Support the planning and execution of greenfield manufacturing facilities, including factory master planning, space allocation, utility requirements, equipment placement, production flow, and long-term capacity planning.
Develop manufacturing concepts from initial factory planning through production launch, ensuring scalability, flexibility, and operational efficiency.
Design and optimize material flow, point-of-use storage, supermarkets, kitting strategies, replenishment systems, tugger routes, and warehouse logistics.
Develop detailed 2D factory layouts and 3D manufacturing models, including equipment placement, utilities, workstations, safety zones, production support infrastructure, and future expansion plans.
The Industrial Engineer drives operational excellence across manufacturing operations through capacity planning, production analytics, process optimization, and continuous improvement to improve throughput and resource utilization.
Responsibilities
Develop and maintain workforce planning models across all production areas, including direct labor, indirect labor, and support functions.
Create and continuously improve capacity models for production lines and critical work centers to support customer demand, production goals, and business growth.
Analyze throughput, cycle time, and production performance data to identify bottlenecks, capacity constraints, and opportunities for operational improvement.
Partner with Production, Operations, and Supply Chain teams to optimize workflows, improve resource utilization, and increase manufacturing efficiency.
Monitor, analyze, and report labor productivity, efficiency, and utilization metrics by department, work center, and shift.
Designs and maintains quantitative models to forecast business outcomes and stress-test strategic scenarios across GE Vernova's capital projects.
Compensation
For candidates applying to a U.S. based position, the pay range for this position is between $91,700.00 and $152,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.
Responsibilities
Develop high-fidelity simulations replicating complex business environments
Use models to stress-test initiatives, quantify risk, and project impact of variables
Convert raw simulation outputs into clear, decision-ready recommendations
Support lean transformation roadmap by validating process and capacity scenarios
Build high-value business cases for capital investment
Requirements
Bachelor's degree in Engineering, Operations, Industrial Engineering, or related field
Nice to have: supporting Greenfield site design
Nice to have: Brownfield capacity/efficiency projects
Develop and deliver advanced digital solutions that support the design, construction, commissioning and operation of complex nuclear facilities, working at the intersection of engineering, software development, data analytics and advanced modeling.
Compensation
Expected compensation range is between $79,000-$132,000 annually depending on skills, experience, and geographical location.
Responsibilities
Design, develop and implement software applications and digital solutions to address complex engineering, project delivery and operational challenges.
Develop reusable digital tools and applications that improve efficiency, reduce risk and support informed decision-making.
Develop software using programming languages such as Python, C#, Java and SQL.
Design and implement data-driven applications that integrate information from multiple engineering, project and operational systems.
Develop prototypes and proof-of-concept solutions to demonstrate the potential value of new digital technologies.
Design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts, supporting workforce optimization and leadership decision-making.
Compensation
W2 Hourly rate: $45-$55. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.
Responsibilities
Analyze, integrate, and prepare workforce, training, readiness, and force structure data from sources such as Envision, STARS DMOG, AFMA, ARM, LCOM, and AETC systems.
Develop and maintain workforce flow models, net flow analyses, and workforce health assessments to identify key drivers, bottlenecks, and constraints across the 2A force generation enterprise.
Design, develop, calibrate, and validate simulation models, including Discrete Event Simulation and System Dynamics, to evaluate workforce planning scenarios and force structure alternatives.
Apply quantitative analysis and forecasting techniques to assess workforce trends and readiness impacts.
Develop visualizations, dashboards, technical documentation, and analytical products to communicate findings and support leadership decision-making.
Mainspring Energy is looking for a Senior Industrial Engineer to help design production lines for linear generators that change how the world gets dependable, clean power.
Responsibilities
End-to-end design of assembly and production lines
Break the work down station by station: define work content, sequence, and precedence for each operation
Calculate takt time, cycle times, number of stations, and operator headcount needed to meet volume targets
Perform line balancing to reduce idle time and bottlenecks and get the most labor and equipment out of the line
Design the line flow and layout, including station placement, buffers, WIP strategy, and operator movement
Requirements
Bachelor's or Master's degree in Industrial, Mechanical, or Manufacturing Engineering, or a related field
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