Engine Control Systems Engineer (Mechanical Engineering)

DBA Web Technologies; Mossville (IL); Sur place; USD 110 000 - 160 000; Plein temps

Résumé du poste

DBA Web Technologies seeks an engineer to design, develop, and validate electro-mechanical systems for engine control and emission optimization. You will work on Large Engine Controls within the Large Power Systems Division, creating and testing control strategies for LPSD engines.

Responsibilities include MiL framework development, data analysis, and presenting insights to stakeholders. Strong background in dynamic feedback control and Matlab/Simulink is required.

Qualifications

• Bachelor's degree in Mechanical Engineering or Electrical/Electronic Engineering is required.
• Master’s Degree preferred.

Responsabilités

• 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.

Connaissances

Embedded Systems

MATLAB/Simulink

Vector CANape

GT-Power

Data Analysis

Python

Model-based Design

Control Theory

Mechanical Engineering

Formation

Bachelor's in Mechanical or Electrical Engineering

Master’s Degree preferred

Outils

GT-Power

Python

Description du poste

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