Sr. Engineer, M&S, Systems Performance

Description

• Utilize DOE, optimization methods, and data driven modeling and analysis tools
• Develop physics-based modeling and simulation environments for a variety of electrical, thermal, and mechanical systems for distributed energy resources and power distribution
• Collaborate with product strategy and systems engineers to develop models and simulation according to requirements
• Use models and simulation platforms to verify and validate controls software
• Collaborate with subject matter experts to characterize components and systems in a simulation environment and communicate analysis results
• Conduct product architecture trade studies and optimization to ensure maximized performance and minimal costs
• 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
• Integrate cost, weight, and specification data of components, systems, and renewable energy fuels into simulation models for technoeconomic analysis of architecture options

Requirements

• Experience using version control for modeling and simulation including Git or other similar tools
• Advanced degree in electrical or mechanical engineering with demonstrated simulation experience
• Experience with machine learning models generated from data
• Strong understanding of renewable energy systems including solar, wind, power conversion, and battery energy storage systems.
• Experience with Python, C++, or similar environments for development of optimization tools and controls logic
• Knowledge of multi-physics modeling software such as Simscape, Simcenter Amesim, GT Suite, or similar
• Education: Bachelor’s degree in electrical engineering, mechanical engineering or equivalent
• Knowledge of power distribution concepts including uninterrupted power supply, power converters, switchboards, and other power electronics
• Demonstrated implementation of real-world power generation and distribution problems into complex modeling and simulation platforms
• Experience with integration of technoeconomic analysis with systems modeling and simulation
• Proficiency in time-domain simulation software such as MATLAB, Simulink, or similar tools for pure simulation or real time operating platforms
• Strong understanding of related regulatory frameworks and industry standards related to the relevant energy technologies: Microgrid, Power generation, and Energy storage
• Experience with development of SIL, MIL, and HIL platforms for verification and validation of controls software
• 5+ years of experience in systems simulation
• Demonstrated development and implementation of modular component models with scalable flexibility for various levels of simulation fidelity
• Computational Fluid Dynamics Software experience
• 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
• 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

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance