Simulation Engineer

Prerequisites

Required Qualifications

• Degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, Manufacturing Engineering, Operations Research, or a related technical discipline; equivalent relevant experience will also be considered.
• Demonstrated experience with simulation software, discrete-event simulation, systems modeling, or industrial engineering analysis.
• Strong analytical and problem-solving skills, with the ability to translate operational challenges into structured models and actionable recommendations.
• Experience analyzing material flow, process capacity, throughput, resource utilization, bottlenecks, or operational performance.
• Proficiency with data analysis and the ability to work with operational data, engineering inputs, assumptions, and performance metrics.
• Strong communication skills and the ability to explain technical findings in practical business terms.
• Ability to manage projects independently, establish priorities, and deliver results with limited day-to-day direction.
• Willingness and ability to travel to sites in the United States and Canada.
• No criminal record for which a pardon has not been granted

Preferred Qualifications

• Experience in automotive manufacturing, automotive logistics, material handling, or supply-chain operations.
• Hands-on experience with Autodesk Flex Sim or comparable discrete-event simulation software.
• Experience modeling warehouse operations, production systems, dock-to-dock material movement, internal logistics, or distribution processes.
• Familiarity with warehouse automation, robotics, conveyors, automated storage systems, AGVs, or AMRs.
• Experience supporting capital investment analysis, engineering quotations, new-business proposals, or solution design.
• Knowledge of CAD layouts, facility planning, industrial engineering methods, and process optimization.
• Experience with digital twin methodologies, scenario analysis, model validation, and continuous improvement.
• Proficiency with Excel and, ideally, complementary analytical tools such as SQL, Python, Power BI, or similar technologies.

General Responsibilities

New Business, Quotation & Solution Development

• Support new-business opportunities by developing simulation-based solutions for material movement, warehouse operations, logistics networks, and automation systems.
• Translate customer requirements, operational data, facility layouts, and process assumptions into simulation models that support engineering and commercial quotations.
• Evaluate proposed solutions before commitments are made, identifying capacity constraints, bottlenecks, resource requirements, implementation risks, and potential cost savings.
• Work with commercial, engineering, operations, and project teams to assess alternative solutions and support accurate, competitive, and defensible quotations.
• Provide objective, quantitative analysis to support investment decisions, solution selection, and customer presentations.
• Help identify opportunities where simulation can improve our ability to compete, differentiate our solutions, and reduce commercial risk.

Current Business & Continuous Improvement

• Analyze existing operations to identify inefficiencies, bottlenecks, underutilized resources, and opportunities to improve material flow.
• Build models of current-state operations and develop future-state scenarios to evaluate proposed changes before implementation.
• Support continuous improvement initiatives involving labor productivity, equipment utilization, dock operations, warehouse capacity, transportation interfaces, and material replenishment.
• Quantify expected operational and financial benefits, establish performance baselines, and support post-implementation validation.
• Partner with site teams to translate simulation results into executable improvement plans.
• Use actual operating data to validate models, refine assumptions, and continuously improve their accuracy and usefulness.

Automation & Technology Integration

• Work with automation and material-handling technologies, potentially including conveyors, automated storage and retrieval systems, autonomous mobile robots, automated guided vehicles, and warehouse execution or control systems.
• Evaluate how automation concepts interact with labor, equipment, facility layouts, inventory flows, and operating processes.
• Collaborate with engineering, systems integration, operations, and technology partners to ensure that modeled solutions reflect practical implementation requirements.
• Explore opportunities to connect simulation models with operational data, engineering design tools, and emerging digital twin technologies.

Direct Responsibilities

Digital Twin Development & Simulation

• Develop and maintain digital twin models of warehouses, manufacturing facilities, logistics networks, and material-handling systems.
• Use discrete-event simulation and related engineering tools to model material movement, process flows, resource utilization, throughput, capacity, and operating constraints.
• Evaluate warehouse layouts, dock-to-dock material movement, storage strategies, equipment requirements, automation concepts, and logistics operating models.
• Develop realistic scenarios that account for demand variability, cycle times, labor availability, equipment performance, congestion, downtime, and operational constraints.
• Compare alternative concepts and quantify their impacts on productivity, cost, capacity, service, space, and operational risk.
• Establish repeatable modeling methodologies, assumptions, data standards, and validation processes.

Capability Development & Strategic Execution

• Help establish simulation as a repeatable engineering and business capability rather than a one-off analytical exercise.
• Identify appropriate software, modeling approaches, data requirements, and opportunities to expand our use of digital twins.
• Develop reusable model components, templates, analytical methods, and reporting standards.
• Present technical findings and business implications to stakeholders at multiple organizational levels.
• Take ownership of assignments from initial problem definition through modeling, recommendations, implementation support, and results validation.
• Travel to company and customer sites throughout the United States and Canada to collect information, validate assumptions, work with local teams, and support implementation as needed.
• All other duties as assigned

Equal Opportunity Employer

TFT Global Inc. is committed to providing an inclusive, respectful, and accessible workplace. We are an equal opportunity employer and welcome applications from all qualified candidates. Employment decisions are made without regard to race, colour, religion, sex, gender identity or expression, sexual orientation, age, disability, national origin, or any other protected characteristic under applicable legislation.

AI Use in the Recruitment Process

TFT Global Inc. does not use artificial intelligence (AI) to make hiring or employment decisions. Candidates are evaluated by members of our recruitment and hiring teams based on their qualifications, experience, skills, and suitability for the position.

Applicants are expected to submit their own application materials and provide accurate information regarding their qualifications and experience. AI-generated or AI-assisted application materials may be reviewed as part of our recruitment process; however, candidates remain responsible for the accuracy and authenticity of all information submitted.