Engine Control Systems Engineer (Mechanical Engineering)

DBA Web Technologies; Mossville (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

DBA Web Technologies is seeking an engineer to design, develop, and validate electro-mechanical and mechatronic systems for engine control strategies. You will work within the Large Engine Controls team to optimize engine performance and emissions using Matlab/Simulink and GT-Power in a Model-in-Loop environment.

You will collaborate with partners, analyze data with Matlab/Simulink, Vector CANape, and Python, and deliver simulation-driven analyses to stakeholders.

Qualifications

• Bachelor's degree in Mechanical or Electrical/Electronic Engineering is required.
• Professional experience in dynamic feedback control theory applied to spark-ignited engine control systems.

Responsibilities

• Collaborate with process partners to develop and refine engine control system requirements.
• Utilize expertise in engines and dynamic feedback controls to design and evaluate control features.
• Develop and maintain Matlab/Simulink and GT-Power-based Model-in-Loop (MiL) simulation framework for control algorithm design and verification.
• Analyze and present data using Vector CANape, Matlab, and Python.
• Deliver timely, high-quality simulation-driven design analyses and provide recommendations to stakeholders.

Skills

Analytical Thinking

Communicating Complex Concepts

Problem Solving

Embedded Systems

Requirements Analysis

Technical Troubleshooting

Education

Bachelor's degree in Mechanical Engineering or Electrical/Electronic Engineering

Master’s Degree Preferred

Tools

Matlab/Simulink

Vector CANape

GT-Power

Job description

Introduction

This position involves designing, developing, and validating electro-mechanical systems and mechatronic devices to optimize engine performance and emissions. As part of the Large Engine Controls team in the Large Power Systems Division, you will be responsible for creating and testing control strategies specific to LPSD engines. This role requires applying knowledge of engine systems, dynamic feedback control theory, simulation, and testing to meet customer specifications.

Introduction

This position involves designing, developing, and validating electro-mechanical systems and mechatronic devices to optimize engine performance and emissions. As part of the Large Engine Controls team in the Large Power Systems Division, you will be responsible for creating and testing control strategies specific to LPSD engines. This role requires applying knowledge of engine systems, dynamic feedback control theory, simulation, and testing to meet customer specifications.

Responsibilities

• Collaborate with process partners to develop and refine engine control system requirements.
• Utilize expertise in engines and dynamic feedback controls to design and evaluate control features.
• Develop and maintain Matlab/Simulink and GT-Power-based Model-in-Loop (MiL) simulation framework for control algorithm design and verification.
• Analyze and present data using advanced analysis and visualization tools such as Vector CANape, Matlab, and Python.
• Deliver timely, high-quality simulation-driven design analyses and provide recommendations to stakeholders.

Requirements

Education and Experience Requirements:

• A Bachelor''s degree in Mechanical Engineering or Electrical/Electronic Engineering is required; Master’s Degree Preferred.
• Professional experience in dynamic feedback control theory applied to design and analysis of spark‑ignited engine control systems.

Required Skills

• Analytical Thinking
• Communicating Complex Concepts
• Problem Solving
• Embedded Systems
• Requirements Analysis
• Technical Troubleshooting
• Experience with Matlab/Simulink, Vector CANape, GT-Power
• Product Development in Manufacturing
• Product Testing

Desired Skills

• Master''s degree in engineering with experience in engine control systems design
• Proficiency in classical control theory
• Experience developing engine control systems for gas, diesel, and dual fuel engines
• Expertise in Matlab/Simulink
• Strong background in modeling dynamic systems
• Exceptional analytical abilities
• Experience in product development processes