Simulation Engineer

TekWissen LLC

Job Location:

Liberty, UT - USA

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients worldwide. Our client is a recognized prominent global enterprise in the automotive sector listed among the top 50 companies in the Global Fortune rankings. As a leading player in the global automotive industry our client manufactures vehicles in 27 countries and effectively markets them across over 170 countries and regions worldwide.

Position: Simulation Engineer
Location: Liberty NC 27298
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Onsite

Responsibilities:

What were looking for:

TMNA Battery Manufacturing Engineering Department is looking for a passionate and highly motivated Simulation Engineer to advance our capabilities in modeling complex manufacturing and supply chain processes.
This role focuses on leveraging Siemens Plant Simulation software to create accurate validated simulation models at multiple operational levels from individual production lines to regional supply chains.
The insights generated will directly support data-driven decision-making and continuous improvement initiatives.
Reporting to the Engineering Manager the Simulation Engineer will develop standardized tools templates and validation protocols to ensure consistency and quality across all simulation projects.
The role involves development of simulation models managing external simulation vendors and collaborating closely with internal engineers and data analysts on data integration. This position is critical to enhancing Toyota Battery PEs ability to anticipate operational challenges and optimize manufacturing performance.

What youll be doing:

Develop and enhance Battery PEs capability in discrete event simulation (DES) to model manufacturing operations at multiple levels: line shop plant and regional supply chain.
Design and implement standard input templates and deliverable formats for internal use and for collaboration with external simulation vendors.
Establish and maintain simulation validation standards to ensure accuracy and reliability of models.
Build and nurture relationships with external simulation vendors to support project execution and knowledge exchange.
Create and manage a centralized system for organizing and maintaining in-house simulation models.
Develop advanced techniques for mining completed simulation data to extract actionable business insights that drive operational improvements.
Collaborate closely with in-house data analysts to streamline data collection processes and identify opportunities to develop digital twins leveraging simulation models.
Provide expert guidance and training to internal stakeholders on DES best practices and tools.

Requirements:
Qualifications/ What you bring (Must Haves):

Bachelors degree in relevant fields such as Industrial Engineering Operations Research Systems Engineering or a related discipline.
Minimum 5 years of professional experience in discrete event simulation within a manufacturing environment.
Proven expertise using Siemens Plant Simulation software for building and applying DES models.
Knowledge of programming or scripting languages (e.g. Python SQL) to automate data processing or simulation workflows.
Strong understanding of manufacturing operations supply chain processes and production systems.
Strong background in applied mathematics statistics and computer science
Demonstrated ability to develop standards templates and processes for simulation modeling and validation.
Experience managing relationships with external vendors and coordinating multi-stakeholder projects.
Proficiency in data analysis and integration techniques to support simulation model inputs and outputs.
Excellent communication skills with the ability to translate complex simulation results into clear business insights.

Preferred:

Advanced degree (Masters or PhD) in Industrial Engineering Systems Engineering Operations Research Data Science or related fields.
Experience developing or working with digital twin technologies in manufacturing contexts.
Familiarity with other modeling tools or complementary modeling techniques (e.g. Siemens Process Simulate Delmia).
Background in Lean Manufacturing Six Sigma or other continuous improvement methodologies.
Experience working within automotive or battery manufacturing industries.
Project management certification or experience leading cross-functional teams.

TekWissen Group is an equal opportunity employer supporting workforce diversity.

Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients worldwide. Our client is a recognized prominent global enterprise in the automotive sector listed among the top 50 companies in the Global For...