Advanced Manufacturing Engineering Specialist

Vertiv Group; Xico; Presencial; MXN 480.000 - 720.000; Jornada completa

Descripción de la vacante

Vertiv Group in Monterrey, Mexico is seeking an Advanced Manufacturing Engineering Specialist to lead the development and deployment of global factory simulation and digital twin capabilities. You will serve as the technical authority for manufacturing system modeling, capacity planning, bottleneck analysis, and scenario-based decision support across production sites.

The role requires building simulation standards, integrating with ERP and OT data, and collaborating with cross-functional teams

Formación

• 2+ years developing complex discrete event simulation models.
• Experience supporting global manufacturing operations.

Responsabilidades

• Develop and execute the global DES and Digital Twin roadmap.
• Establish simulation governance, standards, templates, and modeling best practices.
• Lead the global deployment of simulation capabilities across all manufacturing sites.
• Serve as the primary technical advisor for factory design, capacity planning, and operational improvement initiatives.
• Build and mentor a global simulation community of practice.
• Create and maintain discrete event simulation models for assembly, fabrication, test, logistics, warehousing, and material flow operations.
• Model manufacturing throughput, WIP, cycle time, lead time, resource utilization, and bottlenecks.
• Evaluate production scenarios prior to physical implementation.
• Develop predictive models supporting demand fluctuations, staffing strategies, automation investments, and capital planning.
• Support greenfield and brownfield facility development.
• Validate manufacturing capacity prior to production launch.
• Analyze production constraints and recommend system improvements.
• Quantify the impact of process changes before implementation.
• Provide simulation-based justification for capital expenditures and automation investments.
• Lead the evolution of factory simulation models into real-time digital twins.
• Integrate simulation environments with ERP, Ignition, IoT devices, video analytics, and operational datasets.
• Develop simulation architectures capable of continuous operational feedback.
• Collaborate with OT, IT, Data Science, and Automation teams to enable predictive manufacturing capabilities.
• Ensure DES is implemented as a required deliverable within NPDI and manufacturing process design.
• Support manufacturing engineers in validating process designs before launch.
• Collaborate with Process Design Engineers, AME teams, Product Engineering, Operations, and Supply Chain.
• Drive simulation adoption during virtual prototype, virtual build, and manufacturing readiness reviews.
• Present simulation findings and recommendations to senior leadership.
• Provide data-driven recommendations for capacity planning, labor requirements, production scheduling, inventory strategies, automation investments, facility expansion decisions.
• Translate complex simulation outputs into actionable operational strategies.

Conocimientos

Discrete Event Simulation

Factory Simulation

Digital Twin

Capacity modeling

Queuing theory

Statistical analysis

Process optimization

Educación

Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, Operations Research, or related field

Herramientas

Simio

AnyLogic

FlexSim

Arena

AutoMod

Descripción del empleo

Advanced Manufacturing Engineering Specialist

Empresa : Vertiv Group

Tipo de empleo : Tiempo completo

Monterrey, Mexico

Descripción del trabajo - Advanced Manufacturing Engineering Specialist

Description

Position Summary

The Discrete Event Simulation (DES) Lead will be responsible for developing and deploying Vertiv's global factory simulation and digital twin capabilities. This role serves as the technical authority for manufacturing system modeling, capacity planning, bottleneck analysis, staffing optimization, and scenario-based decision support across all production facilities.

The DES Lead will establish and maintain global simulation standards, create scalable simulation architectures, and ensure simulation is integrated into the NPDI process, manufacturing process design, and factory transformation initiatives. The role will leverage discrete event simulation platforms (Simio or equivalent), operational data, manufacturing Bills of Process (BoP), and digital manufacturing ecosystems to create accurate predictive models that support investment decisions, capacity expansion, labor planning, and operational excellence.

Key Responsibilities

Global Simulation Strategy & Leadership

• Develop and execute the global DES and Digital Twin roadmap.
• Establish simulation governance, standards, templates, and modeling best practices.
• Lead the global deployment of simulation capabilities across all manufacturing sites.
• Serve as the primary technical advisor for factory design, capacity planning, and operational improvement initiatives.
• Build and mentor a global simulation community of practice.

Manufacturing System Modeling

• Create and maintain discrete event simulation models for assembly, fabrication, test, logistics, warehousing, and material flow operations.
• Model manufacturing throughput, work-in-process (WIP), cycle time, lead time, resource utilization, and bottlenecks.
• Evaluate production scenarios prior to physical implementation.
• Develop predictive models supporting demand fluctuations, staffing strategies, automation investments, and capital planning.

Factory Design & Capacity Planning

• Support greenfield and brownfield manufacturing facility development.
• Validate manufacturing capacity prior to production launch.
• Analyze production constraints and recommend system improvements.
• Quantify the impact of process changes before implementation.
• Provide simulation-based justification for capital expenditures and automation investments.

Digital Twin Development

• Lead the evolution of factory simulation models into real-time digital twins.
• Integrate simulation environments with ERP, Ignition, IoT devices, video analytics, and operational datasets.
• Develop simulation architectures capable of continuous operational feedback.
• Collaborate with OT, IT, Data Science, and Automation teams to enable predictive manufacturing capabilities.

NPDI & Manufacturing Process Design

• Ensure DES is implemented as a required deliverable within manufacturing process design and NPDI activities.
• Support manufacturing engineers in validating process designs before launch.
• Collaborate with Process Design Engineers, AME teams, Product Engineering, Operations, and Supply Chain functions.
• Drive simulation adoption during virtual prototype, virtual build, and manufacturing readiness reviews.

Analytics & Business Decision Support

• Present simulation findings and recommendations to senior leadership.
• Provide data-driven recommendations for:
  • Capacity planning
  • Labor requirements
  • Production scheduling
  • Inventory strategies
  • Automation investments
  • Facility expansion decisions
• Translate complex simulation outputs into actionable operational strategies.

Required Qualifications

Education

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, Operations Research, or related field.

Experience

• 2+ years developing complex discrete event simulation models.
• Experience supporting global manufacturing operations.

Technical Skills

• Expert knowledge of:
  • Discrete Event Simulation (DES)
  • Factory Simulation
  • Digital Twin architecture
  • Capacity modeling
  • Queuing theory
  • Statistical analysis
  • Process optimization
• Advanced proficiency with:
  • Simio (preferred)
  • AnyLogic
  • FlexSim
  • Arena
  • AutoMod or similar platforms
• Strong understanding of:
  • Manufacturing Bills of Process (BoP)
  • MES systems
  • ERP systems
  • Operational Technology (OT)
  • Lean Manufacturing
  • Theory of Constraints
  • OEE / OOE analysis

OUR CORE PRINCIPALS

Safety. Integrity. Respect. Teamwork. Inclusion.

OUR STRATEGIC PRIORITIES

• High-Performance Culture
• Customer Focus
• Operational Excellence
• Innovation
• Financial Strength

VERTIV BEHAVIORS

• Own it
• Act with urgency
• Foster a customer-first mindset
• Think big and execute
• Lead by example
• Drive continuous improvement
• Learn and seek out development
• Promote transparent & open communication

About Vertiv

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [e-mail].