Lead Modeling & Simulation Engineer

GLOBAL Recruitment Solutions•Menasha, WI

5d•Hybrid

About The Position

Lead Innovation in Advanced Power & Energy Systems Are you an experienced Modeling & Simulation Engineer ready to take the next step in your career? We're seeking a Lead Modeling & Simulation Engineer to drive the development of advanced simulation technologies supporting next-generation power distribution, renewable energy, and energy storage systems. This is an exciting opportunity to join a growing, innovation-focused Product Engineering and R&D organization developing advanced solutions for the evolving energy industry. In this highly technical leadership role, you'll combine hands-on engineering expertise with the opportunity to lead a team of simulation engineers, influence product architecture, and help shape the future of distributed energy technologies. If you have a strong background in MATLAB/Simulink, multi-physics modeling, power electronics, and hardware-in-the-loop (HIL) simulation, this could be an excellent next step in your career.

Requirements

Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a closely related engineering discipline.
8+ years of professional experience in systems modeling, simulation, or related engineering disciplines.
Strong proficiency with MATLAB/Simulink or comparable time-domain simulation platforms.
Experience with multi-physics modeling tools such as Simscape, Siemens Simcenter Amesim, GT-SUITE , or equivalent software.
Hands-on experience developing or integrating MIL, SIL, and HIL simulation environments.
Experience with HIL testing platforms such as dSPACE, Speedgoat, National Instruments, or OPAL-RT.
Strong understanding of electrical power systems, power conversion, renewable energy, and battery energy storage systems (BESS).
Knowledge of power distribution equipment and technologies, including UPS systems, converters, switchboards, and power electronics.
Familiarity with thermal management systems, including battery cooling, HVAC systems, and liquid cooling technologies.
Proven ability to translate real-world engineering challenges into accurate, complex simulation models.
Experience developing modular and scalable simulation models for complex systems.
Strong analytical, problem-solving, communication, and cross-functional collaboration skills.

Nice To Haves

Master's or Ph.D. in Electrical Engineering, Mechanical Engineering, or a related technical field.
Experience with microgrids, distributed energy resources (DER), energy storage systems, or advanced power conversion technologies.
Knowledge of relevant industry standards and regulatory requirements for power generation, microgrids, and energy storage.
Programming experience with Python, C++, or similar languages.
Experience with model-based controls development and optimization algorithms.
Familiarity with machine learning, data-driven modeling, or predictive analytics.
Experience integrating technoeconomic analysis with system-level modeling and simulation.
Background developing MIL, SIL, or HIL testing frameworks for controls software validation.
Experience with Git or other version-control tools used in collaborative engineering development.
Previous experience providing technical leadership or mentoring simulation engineers.

Responsibilities

Advanced Modeling & Simulation: Lead the development of sophisticated, physics-based simulation environments for electrical, thermal, and mechanical systems. Develop and optimize models supporting distributed energy resources, renewable power generation, energy storage, and electrical power distribution. Create scalable, modular component models with varying levels of simulation fidelity. Integrate electrical, mechanical, thermal, and control system models to evaluate overall system performance.
Product Development & Innovation: Perform system architecture trade studies, performance evaluations, and optimization to guide product design decisions. Evaluate technical performance, efficiency, cost, weight, and system requirements to identify optimal engineering solutions. Develop proof-of-concept control algorithms and provide technical recommendations to embedded software and controls engineering teams. Apply Design of Experiments (DOE), optimization techniques, and data-driven analytical methods to improve system performance. Support technoeconomic analysis by integrating component costs, operating characteristics, and system-level performance into simulation models.
Simulation, Testing & Validation: Develop and utilize Model-in-the-Loop (MIL), Software-in-the-Loop (SIL), and Hardware-in-the-Loop (HIL) simulation environments. Integrate plant and control models to support testing, verification, and validation of controls software. Collaborate with multidisciplinary engineering teams to validate models against actual system performance. Establish modeling and simulation methodologies that improve development efficiency, accuracy, and product reliability.
Technical Leadership: Lead, mentor, and guide a team of simulation engineers. Serve as a technical subject matter expert across product engineering, systems engineering, and R&D. Collaborate with engineering leadership and product strategy teams to define simulation requirements and development priorities. Drive continuous improvement in modeling tools, methodologies, and engineering best practices.