Real Time Scheduling Engineer

If you are looking for an opportunity to grow your career, Emerson has an exciting opportunity for you! In this critical role, as a Real Time Scheduling Engineer you will support our global Life Sciences Professional Services team to implement Emerson’s Real-Time Scheduling (RTS) / Discrete Event Simulation (DES) solutions to develop finite scheduling, debottlenecking, and capacity analysis of complex manufacturing processes. You will guide our Life Sciences industry customers through best practices, support software deployment, and, ultimately, help optimize their critical manufacturing operations. If this sounds like an interesting job for you, then join our team at Emerson!
This role can be located in: Durham, NC, Blue Bell, PA, Austin, TX, Houston, TX, St. Louis, MO, or Kansas City, KS.
In This Role, Your Responsibilities Will Be:
•    Use discrete event simulation to m odel complex manufacturing processes , including debottlenecking and capacity engineering.
•    Apply consultative skills in customer-facing meetings to understand processes and integrate diverse data sources into RTS software.
•    Develop algorithms for design of experiments, data visualization, optimization, and efficiency improvements.
•    Implement and support RTS software, collaborating with clients to incorporate upgrades and enhancements.
•    Partner with Technology teams on product testing and feature development.
•    Deliver projects within budget and timelines while ensuring customer satisfaction.
Who You Are:
You analyze diverse sources of information to accurately define problems before moving to solutions. You make sound decisions even when faced with uncertainty and incomplete data. You build strong relationships and align the interests of multiple stakeholders to achieve shared goals. You adapt quickly to changing priorities and maintain focus on delivering results that create value for customers and the organization.
For This Role, You Will Need:
•    Bachelor’s degree, with 2+ years of relevant experience.
•    Proficiency with discrete event simulation tools (e.g., FlexSim, Simio, Technomatix, Plant Simulation).
•    Strong understanding of probability and statistics.
•    Ability to independently develop programmatic software solutions for novel problems (e.g., C#, C++).
•    Experience with mathematical modeling and scripting languages (e.g., VBA, Python, Matlab).
•    Excellent interpersonal and communication skills for customer interactions.
•    Ability to travel up to 15%.
•    Legal authorization to work in the United States without current or future sponsorship.
Preferred Qualifications That Set You Apart:
•    Experience in the Life Sciences manufacturing industry.
•    Ability to quickly learn and adapt to new technologies.
•    Demonstrated success working collaboratively in both leadership and individual contributor roles.
Our Culture and Commitment to You:
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. ​
We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family’s physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.​
Learn more about our  Culture & Values . ​

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