Real Time Scheduling Engineer

Emerson•Blue Bell, PA

About The Position

Emerson is seeking a Real Time Scheduling Engineer to support its global Life Sciences Professional Services team. The role implements Emerson’s Real-Time Scheduling (RTS) and Discrete Event Simulation (DES) solutions for finite scheduling, debottlenecking, and capacity analysis of complex manufacturing processes. The engineer guides Life Sciences customers through best practices, supports software deployment, and helps optimize manufacturing operations. The position may be based in Durham, NC; Blue Bell, PA; Austin, TX; Houston, TX; St. Louis, MO; or Kansas City, KS. The engineer works directly with customers to understand processes and integrate data into RTS software, develops algorithms and software solutions, supports implementations and upgrades, and collaborates with internal Technology teams on testing and feature development. Projects are delivered within budget and timelines while maintaining customer satisfaction. The role requires up to 15% travel and legal authorization to work in the United States without current or future sponsorship.

Requirements

Bachelor’s degree and at least 2 years of relevant experience.
Proficiency with discrete event simulation tools such as FlexSim, Simio, Technomatix, or Plant Simulation.
Strong understanding of probability and statistics.
Ability to independently develop programmatic software solutions for novel problems, such as with C# or C++.
Experience with mathematical modeling and scripting languages such as VBA, Python, or 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.

Nice To Haves

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.

Responsibilities

Use discrete event simulation to model 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.