Modern control techniques including state-space modeling, LQR/LQG, Kalman Filtering, Model Predictive Control (MPC), robust control and MIMO system design. Classical control techniques including PID, lead–lag compensation, loop shaping, root locus design, feedforward control, and cascaded loop architectures.
Numbers & Facts
Location
New Hudson, MI
Salary
$104,000–$173,000 Per Year
Description
Pay Rate: $104K - $173K
Work Mode: Onsite
Location: New Hudson, MI
Summary:
Direct Hire opportunity
ITAR position. No dual citizenship
Monday-Friday 8AM - 5PM (additional effort may be required to meet project deadlines)
Travel: 10% Mostly in the Great Lakes region to test sites
Responsibilities:
Design, develop, implement, and validate embedded control systems for defense applications
Support the full lifecycle from modeling and algorithm development through hardware integration and vehicle-level deployment
Implement control algorithms using classic and modern control techniques
Perform stability, robustness, and performance analysis
Develop and validate control strategies through SIL, HIL, bench, and vehicle testing
Support system commissioning, calibration, and field troubleshooting
Develop state-space and frequency-domain models of electromechanical, hydraulic, and vehicle systems
Identify performance metrics and system specifications from model results
Support design, selection, and integration of electronic components
Troubleshoot and resolve system and electrical issues
Requirements:
MS or PhD in Automotive, Mechanical, Electrical Engineering, Computer Science, Computer Engineering, or Mechatronic Systems
Minimum 8 years of engineering experience
Senior level of experience implementing motion controls and state estimators using state space methods
Capable of being a subject matter expert in this area that can teach and mentor others
Preferred Skills:
Control system modeling and simulation in MATLAB, Simulink, and Stateflow
Classical control techniques including PID, lead–lag compensation, loop shaping, root locus design, feedforward control, and cascaded loop architectures
Modern control techniques including state-space modeling, LQR/LQG, Kalman Filtering, Model Predictive Control (MPC), robust control and MIMO system design
Numerical optimization methods for parameter fitting and control tuning
Embedded Model-Based Development tools (Simulink/Stateflow Coder, MotoHawk, Raptor, OpenECU, dSPACE)
Embedded software in C/C on microcontrollers, Linux, or RTOS-based platforms
Expertise in specific areas such as Weapon Systems, Combat Vehicle Engineering, Fire Control Systems, Turrets and Ammo Handling Systems
Knowledge of MIL Standards for software, electronics, communications, cyber and functional safety (MIL-STD-498, MIL-STD-461, MIL-STD-882E, DO-178C, DO-254)
Experience delivering defense software CDRLs
Networking protocols and standards (Ethernet, TCP/IP, UDP, EtherCAT, DDS, TSN)