Principal – Principal Systems MBD Engineer

About the role

The Systems Model Based Development Engineer will lead the development of advanced plant models, simulation frameworks, and engineering applications supporting next-generation electromechanical product development. As a Principal – Principal Systems MBD Engineer, you'll be part of our Tools and Outdoor team, working as a hybrid employee.

Responsibilities

• Lead development of high-fidelity plant models for complex electromechanical systems using Dymola, TwinBuilder, Amesim, Modelica, Simulink, and Simscape or equivalent tools.
• Develop multi-scale and multi-domain models spanning component, subsystem, and system-level behavior across electrical, mechanical, thermal, hydraulic, pneumatic, and controls-coupled domains.
• Translate abstract methods, first-principles equations, reduced-order formulations, and engineering concepts into practical, validated, and reusable simulation models.
• Perform custom model and library development to represent unique physics, behaviors, interfaces, and product architectures not available in standard toolsets.
• Build supporting engineering applications, scripts, utilities, and automation workflows to improve model usability, execution speed, and integration into development processes.
• Support code generation, model compilation, solver configuration, co-simulation setup, FMU export/import, and runtime integration across development environments.
• Create interfaces between plant models and external applications, controllers, embedded software components, and test platforms.
• Partner with CAE engineers to align system-level and reduced-order models with detailed simulation results, test data, and product physics.
• Collaborate with MBD and controls engineers to provide plant models suitable for MIL, SIL, HIL, and closed-loop controls development.
• Work with embedded software engineers to support executable deployment, runtime validation, and integration of models into software and test ecosystems.
• Perform model verification, validation, calibration, sensitivity analysis, and performance optimization using simulation and test data.
• Contribute to simulation architecture decisions related to model reuse, interoperability, deployment strategy, abstraction level, and framework scalability.
• Document model assumptions, governing equations, parameter sources, interfaces, limitations, and validation results.
• Provide technical leadership and mentoring in plant modeling, multi-scale simulation methods, and custom model/application development.

Requirements

• Master’s or Ph.D. in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Controls Engineering, Applied Physics, Mechatronics, or a related technical field.
• 10+ years of relevant experience in plant modeling, model-based design, physical system simulation, or engineering application development.
• Strong hands-on experience with one or more plant modeling environments such as Dymola, TwinBuilder, Amesim, Modelica-based tools, Simulink, or Simscape.
• Demonstrated expertise in plant modeling, multi-scale modeling, and multi-domain physics-based simulation.
• Proven ability to translate abstract methods, mathematical formulations, and first-principles physics into executable and validated engineering models.
• Experience with custom model development, user-defined components, libraries, or frameworks for simulation environments.
• Strong foundation in physics, mathematics, numerical methods, and dynamic systems.
• Strong technical background in electrical systems and their interaction with mechanical and control domains in electromechanical products.
• Experience with application development, scripting, or software/tool development to support simulation workflows and automation.
• Experience interfacing models with external software or simulation environments, including compilation, runtime execution, co-simulation, or executable deployment.
• Able to collaborate effectively across CAE, MBD, embedded software, controls, hardware, and systems engineering teams.
• Strong written and verbal communication skills with the ability to explain model assumptions, limitations, and results clearly.

Qualifications

• Master’s or Ph.D. in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Controls Engineering, Applied Physics, Mechatronics, or a related technical field.
• 10+ years of relevant experience in plant modeling, model-based design, physical system simulation, or engineering application development.

Skills

• Hands-on experience with one or more plant modeling environments such as Dymola, TwinBuilder, Amesim, Modelica-based tools, Simulink, or Simscape.
• Expertise in plant modeling, multi-scale modeling, and multi-domain physics-based simulation.
• Ability to translate abstract methods, mathematical formulations, and first-principles physics into executable and validated engineering models.
• Experience with custom model development, user-defined components, libraries, or frameworks for simulation environments.
• Strong foundation in physics, mathematics, numerical methods, and dynamic systems.
• Technical background in electrical systems and their interaction with mechanical and control domains in electromechanical products.
• Experience with application development, scripting, or software/tool development to support simulation workflows and automation.
• Experience interfacing models with external software or simulation environments, including compilation, runtime execution, co-simulation, or executable deployment.
• Effective collaboration across CAE, MBD, embedded software, controls, hardware, and systems engineering teams.
• Strong written and verbal communication skills with the ability to explain model assumptions, limitations, and results clearly.

Benefits

• Medical, dental, life, vision, disability, 401(k), Employee Stock Purchase Plan, paid time off, and tuition reimbursement.
• Discounts on Stanley Black & Decker tools and other partner programs.

Pay

$110,600.00 - $178,000.00

Schedule

Hybrid: Onsite work three days per week at our Towson, MD campus.