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Principal Control Systems Engineer

Job in Wixom, Oakland County, Michigan, 48393, USA
Listing for: Brightwing
Full Time position
Listed on 2026-09-13
Job specializations:
  • Engineering
    Systems Engineer, Embedded Software Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

We are seeking an experienced Principal Software and Controls Engineer to lead the development of advanced embedded control solutions for complex vehicle and defense-related systems. This role combines deep technical expertise with hands-on implementation responsibilities, supporting the creation of control architectures from initial concept through validation, integration, and deployment.

The successful candidate will serve as a subject matter expert in control systems engineering, embedded software development, and system integration. This position requires strong analytical skills, practical engineering experience, and the ability to work across multidisciplinary teams to deliver high-performance, mission-critical solutions.

Primary Responsibilities
  • Develop, analyze, and optimize closed-loop control systems for complex electromechanical applications.
  • Design control strategies utilizing both traditional and advanced control methodologies.
  • Evaluate system behavior with respect to stability, robustness, transient response, and overall performance objectives.
  • Create and refine multi-loop control structures for single-axis and multi-axis systems.
  • Implement algorithms within model-based development environments and generate production-level embedded software.
  • Support controls verification activities through Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), laboratory, and vehicle testing.
  • Perform calibration, commissioning, performance tuning, and troubleshooting activities throughout product development and deployment.
Modeling, Simulation, and Analysis
  • Create mathematical representations of mechanical, hydraulic, electrical, and vehicle systems using analytical and data-driven approaches.
  • Apply system identification techniques to characterize dynamic system behavior.
  • Correlate simulation results with physical testing data and update models accordingly.
  • Use simulation environments to assess design alternatives and evaluate control system performance.
  • Establish system requirements and performance targets based on modeling outcomes.
Embedded Software Development
  • Develop embedded software components using C and C++ for real-time applications.
  • Integrate control algorithms into microcontroller, RTOS, or Linux-based platforms.
  • Support software architecture development, code reviews, debugging, and validation efforts.
  • Collaborate with systems and hardware engineers to ensure seamless implementation of control functionality.
Hardware and System Integration
  • Support the selection, integration, and validation of sensors, controllers, actuators, and electrical subsystems.
  • Define electrical and mechanical interface requirements with cross-functional engineering teams.
  • Assist in controller hardware selection based on processing, communications, and I/O requirements.
  • Diagnose and resolve hardware, software, and system-level integration issues.
  • Participate in vehicle-level and subsystem-level testing activities.
Required Qualifications
  • Master's or Doctoral degree in Electrical Engineering, Mechanical Engineering, Automotive Engineering, Computer Engineering, Computer Science, Mechatronics, or a related discipline.
  • Minimum of 8 years of relevant engineering experience in embedded controls, software, or systems engineering.
  • Demonstrated experience delivering complex control systems from concept through production or deployment.
  • Strong communication skills and the ability to collaborate effectively across multidisciplinary engineering organizations.
Preferred Technical Experience
  • MATLAB, Simulink, and Stateflow for modeling, simulation, and controls development.
  • Classical control methodologies including:
  • PID control
  • Feed forward control
  • Cascaded control architectures
  • Advanced control methodologies including:
  • State-space modeling
  • Kalman…
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