The Ship Control Engineering (D432) department applies several engineering disciplines to develop, deliver, maintain and support advanced fly-by-wire control systems. Engineering opportunities range from initial system design through development, hardware/software integration, test, delivery, and integration of these systems aboard nuclear submarines.

Our team members exemplify Electric Boat’s core values:

• Value each other
• Behave with integrity and purpose
• Commit to excellence

Control Systems Engineer designs, models, simulates, and optimizes automated systems to ensure safe, efficient performance. These models verify and validate: Maneuvering impacted aspects of Ship Design, casualty response capabilities, control and monitoring algorithms, operational modes and user interface

A Control Systems Engineer on our team typically performs the following types of work:

• Execute work as a member of a multi-disciplinary team to make design decisions.
• Creating dynamic mathematical plant models of ocean environment, vehicle motion, and ship systems, to analyze system behavior using tools like MATLAB/Simulink, C++, and Python.
• Creating various control algorithms and filter designs.
• Creating and verifying outer loop and inner loop requirements using simulations.
• Document models, algorithms, and performance predictions in engineering calculations to inform other teams and departments on design decisions and implementation
• Performing Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) simulation to test systems before deployment.
• Integrating hardware (sensors, actuators) with software to meet functional requirements.
• Analyzing existing systems for improvements and troubleshooting production failures

Required:

• Bachelor of Science degree or higher in Systems Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, Aerospace engineering
• 0-5 years of post-graduate engineering experience
• Must be able to obtain and maintain a security clearance through the DoD

Preferred:

• Relevant Master’s degree with a concentration, thesis, and/or capstone project in control systems, dynamic system modeling, and control algorithm development.
• Strong understanding of mathematics and physics that underpin the concepts of control systems, such as modeling, dynamics, and signal processing.
• Knowledge of control theory, programming languages (Python, C/C++)
• Experience working with inner loop/outer loop algorithm development and optimization
• Analytical and problem-solving skills, which are critical to constantly analyze data, identify problems, and design solutions to optimize system performance. 

• Strong troubleshooting and problem-solving skillsets
• Ability to work independently and take ownership of projects