Simulation Solutions Engineer

Career Opportunity:
Job Title: Simulation Solutions Engineer

About CodeForce 360
Making a career choice is amongst the most critical choices one can make, and it's important for the choice to be calculated with factors such as a company's run of success since its inception and more. But, when you come across a company that has reputation proven with nothing but an illustrious run of success since the day it began, you don't need to think of anything else. That's precisely what some of our employees and prospective employees think when they came across CodeForce 360.

Position Overview

Simulation Solutions Engineer

Requirements:

• Development and implementation of sophisticated discrete event simulation models using FlexSim, AnyLogic, and advanced optimization solvers to address complex project requirements and drive data-informed decisions. Develop model, simulation, and complete analysis to assess system behaviour under technical or business constraints.
• Partner closely with the Simulation Lead and external clients to define project scope, elicit detailed requirements, and translate intricate simulation concepts into clear, actionable insights for diverse audiences. Collaborate with stakeholders to develop new and/or integrate existing system simulation frameworks, models and roadmaps.
• Conduct analysis of simulation outputs to pinpoint optimal system configurations and performance improvements, ensuring direct alignment with critical customer and stakeholder objectives.
• Actively contribute to technical reviews and client meetings, presenting project progress and key findings to Simulation SMEs and customers. Prepare and deliver presentations to stakeholders and communicate results.
• Partner with other cross Cloud organizations on cost savings and productivity efforts.
• Communicate and coordinate with key stakeholders across the organization to share priorities, roadmap, and key learnings.
• Define success criteria & metrics of new product experiences and perform post-implementation analysis to identify continuous improvement capabilities.
• Timely delivery of highly accurate and robust simulation models, adhering to stringent quality standards and project deadlines.
• Effectively work on multiple concurrent simulation projects when required, proactively communicating milestones, potential risks, and strategic adjustments to Simulation SME.
• Assist in constructing a library of reusable and scalable simulation model components and frameworks to enhance project efficiency and accelerate future development cycles.

Minimum Qualifications

• Possesses a Bachelor's or Master's degree in Operations Research, Industrial Engineering, or a closely related quantitative field, providing a strong theoretical foundation for advanced analytical work. (Alternatively, BS degree in Information Systems, Computer Science, Mathematics, Statistics, Industrial Engineering, or Engineering).
• 5+ years of experience in systems engineering.
• 1-3 years of technical program management, modeling & simulation experience.
• 1-3 years of Operations or Supply Chain experience.
• Proven track record in the end-to-end development, rigorous analysis, and insightful interpretation of complex discrete event simulation models to drive operational improvements and strategic decisions.
• Solid grasp of fundamental statistical principles, advanced discrete event simulation methodologies, and the operational dynamics of general manufacturing environments.
• Hands-on proficiency with Flexsim and Anylogic simulation software, demonstrating the ability to construct, debug, and leverage sophisticated models for diverse applications.
• Working Knowledge of scripting languages (Python, Jscript).
• Exceptional analytical and problem-solving abilities, characterized by a methodical approach to dissecting complex issues and developing innovative, data-driven solutions.

Preferred Qualifications

• Experience with 3D visualization platforms.
• Experience with software engineering.
• Experience with developing simulation models, data analytics, and operations research.
• Knowledge of the Product Management Lifecycle, experience working with design agencies and development teams.