Senior Systems Performance M&S Engineer

Faith Technologies•Phoenix, AZ

17h•Onsite

About The Position

As a Senior Systems Performance Modeling & Simulation Engineer in the R&D group, you will be responsible for developing advanced physics-based and empirical modeling and simulation environments for electrical, thermal, and mechanical systems used in distributed energy resources and power distribution. Collaborating with subject matter experts, product strategy teams, and systems engineers, you will create accurate and efficient simulations that meet requirements and support product development. Through your expertise, you will play a key role in driving innovation and performance improvements in distributed energy and power distribution systems. About the Product Engineering Team Our Product Engineering Team sits at the intersection of innovation and execution, transforming ideas into real-world products and solutions for Excellerate Products(tm), a division of Faith Technologies Incorporated (FTI). From early concept through full-scale production, our engineers design Data Center power distribution products, Electric Vehicle charging skids, switchboards and more! With a strong focus on quality, manufacturability, and customer outcomes, we ensure every product is engineered to perform in the real world—safely, reliably, and at scale. To learn more about our products and services, visit our website: Excellerate Products – Smarter Power Solutions – FTI .

Requirements

Bachelor’s degree in electrical engineering, mechanical engineering or equivalent
5+ years of experience in systems simulation
Proficiency in time-domain simulation software such as MATLAB, Simulink, or similar tools for pure simulation or real time operating platforms
Knowledge of multi-physics modeling software such as Simscape, Simcenter Amesim, GT Suite, or similar
Proficient in hardware-in-the-loop (HIL), model-in-loop (MIL), and software-in-the-loop (SIL) simulation platforms, including the integration of plant and controls models
Experience with HIL platforms including dSpace, speedgoat, NI, or others for testing of controls systems
Strong understanding of renewable energy systems including solar, wind, power conversion, and battery energy storage systems.
Knowledge of power distribution concepts including uninterrupted power supply, power converters, switchboards, and other power electronics
Familiarity with thermal management systems for battery energy storage, HVAC systems for power distribution enclosures, and their characterization as required for performance-level modeling and simulation
Demonstrated implementation of real-world power generation and distribution problems into complex modeling and simulation platforms
Demonstrated development and implementation of modular component models with scalable flexibility for various levels of simulation fidelity

Nice To Haves

Advanced degree in electrical or mechanical engineering with demonstrated simulation experience
Strong understanding of related regulatory frameworks and industry standards related to the relevant energy technologies: Microgrid, Power generation, and Energy storage
Experience with Python, C++, or similar environments for development of optimization tools and controls logic
Experience with machine learning models generated from data
Experience with integration of technoeconomic analysis with systems modeling and simulation
Experience with development of SIL, MIL, and HIL platforms for verification and validation of controls software
Experience using version control for modeling and simulation including Git or other similar tools
Computational Fluid Dynamics Software experience

Responsibilities

Develop physics-based modeling and simulation environments for a variety of electrical, thermal, and mechanical systems for distributed energy resources and power distribution
Conduct product architecture trade studies and optimization to ensure maximized performance and minimal costs
Integrate cost, weight, and specification data of components, systems, and renewable energy fuels into simulation models for technoeconomic analysis of architecture options
Collaborate with subject matter experts to characterize components and systems in a simulation environment and communicate analysis results
Collaborate with product strategy and systems engineers to develop models and simulation according to requirements
Develop, enhance, and implement advanced tools to streamline workflows, optimize processes, and improve overall team efficiency
Develop proof-of-concept controls algorithms to support architecture trade studies and provide functional recommendations to software development teams
Utilize DOE, optimization methods, and data driven modeling and analysis tools
Use models and simulation platforms to verify and validate controls software