Control Systems Engineer - Full Time

Job Title: Control Systems Engineer 
Location: Chillicothe, Illinois - onsite 5 Days 
Base Salary – $100,000 – $120,000
Industry: Engineering
Client - Caterpillar Inc

Job Category: Engineering – Mechanical
Role Description:  
This role encompasses the design, development, and validation of electro-mechanical systems and mechatronic devices with the aim of optimizing engine performance and emissions. As an individual contributor within the Large Engine Controls team in the Large Power Systems Division (LPSD), you will be responsible for designing, building, and testing control strategies specific to LPSD engines.

Required Skills:
Bachelor’s degree in Engineering is required 
Proficiency in classical control theory, specifically as applied to Multiple Input Multiple Output (MIMO) systems using both the time and frequency domain 
Demonstrated experience developing engine control systems for gas, diesel, and dual fuel engines, including aftertreatment solutions 
Advanced expertise in Matlab/Simulink with a focus on designing and verifying control concepts using GT-Power engine models. 
Strong background in modeling dynamic systems through physics-based white box models, black box approaches, and system identification techniques 
Exceptional analytical and understanding of complex engineering concepts and applications 
Proven self-motivation with the capacity to effectively communicate technical concepts to team members, cross-functional groups, management, and external suppliers 
Prior involvement in product development processes (NPI, NTI, and CPI) 

What you will do: 
Collaborate with process partners to develop and refine engine control system requirements. 
Utilize expertise in engines and dynamic feedback controls—including frequency and time domain design, Multi Input Multi Output (MIMO) systems, digital signal processing, filter design, and logical control methodologies—to design and evaluate control features. 
Develop and maintain Matlab/Simulink and GT-Power-based Model-in-Loop (MiL) simulation framework for use in design and verification of control algorithms.  
Deliver timely, high-quality simulation-driven design recommendations to stakeholders.