Systems Performance Modeling & Simulation Engineer responsible for developing simulation environments for electrical, thermal, and mechanical systems in renewable energy. Collaborating with experts to drive innovation and performance improvements.
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
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
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
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
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
Advanced degree in electrical or mechanical engineering with demonstrated simulation experience (Preferred)
Strong understanding of related regulatory frameworks and industry standards related to the relevant energy technologies: Microgrid, Power generation, and Energy storage (Preferred)
Experience with Python, C++, or similar environments for development of optimization tools and controls logic (Preferred)
Experience with machine learning models generated from data (Preferred)
Experience with integration of technoeconomic analysis with systems modeling and simulation (Preferred)
Experience with development of SIL, MIL, and HIL platforms for verification and validation of controls software (Preferred)
Experience using version control for modeling and simulation including Git or other similar tools (Preferred)
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