Senior Electrical Engineer – Modeling and Simulation of Power Systems

What we do

Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs… at the speed of relevance.

Objectives:

1. Lead the design and implementation of multi-physics models and digital twins for electrical power and energy systems, including electric machines, gas turbines, diesel generators, propulsion systems, batteries, power electronics, switchgear, etc., to accelerate defense research and product development.
2. Partner with cross functional engineers to translate complex physics phenomena into actionable virtual models that enhance system reliability, survivability, and mission effectiveness.
3. Create scalable and integrated simulation-based systems across multiple projects that support rapid prototyping, performance optimization, predictive maintenance, and lifecycle analyses for military and commercial customers.
4. Establish modeling, verification, and validation standards and processes that ensure compliance with defense requirements.

Responsibilities:

• Develop & Validate Multi Domain Models: Build and validate physics-based models using tools such as MATLAB/Simulink or directly using scientific Python libraries, for turbines, generators, converters, switchgear, advanced controls and energy storage systems.
• Create & Maintain Digital Twins: Architect digital twin systems that integrate real time data, sensor fusion, optimization algorithms, and predictive analytics to emulate, analyze, and improve the performance of power systems within defense platforms.
• Research Emerging Techniques: Investigate advanced multi-physics coupling methods, reduced order modeling, and AI/ML modeling strategies to improve the speed of solutions and accuracy for mission critical analyses.
• Collaborate Across Disciplines: Work closely with electrical engineers, controls specialists, cybersecurity teams, and program managers to align deliverables with overall system architecture and program goals and timelines.
• Document & Communicate Findings: Produce detailed design documentation, verification reports, and technical briefs for internal stakeholders, military, and commercial customers.
• Implement Engineering Best Practices: Apply best practices for version control, software source control, automated testing, CI/CD workflows, and configuration management to modeling and simulation codebases.

Required Skills and Qualifications:

• Must be a U.S. Citizen with the ability to obtain and maintain a DoW Secret Clearance (eligibility for Top Secret is a plus).
• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a closely related technical discipline.
• 5 years of professional experience using modeling tools such as MATLAB/Simulink.
• 3 years of professional experience developing models and/or digital twins for integrated electrical power systems, including generators, motors, batteries, power electronics, and switchgear.
• Proficiency in at least one general programming language (e.g., Python, C/C , Java).
• Excellent written and verbal communication skills; ability to produce clear technical reports and give concise briefings to internal, military and commercial stakeholders.

Preferred Skills and Qualifications:

• Master’s or PhD in relevant engineering or computer science discipline.
• Knowledge of modeling electrical plant controls, battery management systems (BMS), and energy storage systems.
• Experience with real-time simulation platforms (OpalRT, Speedgoat, Typhoon) and hardware in the loop (HIL) simulation.
• Deep technical knowledge of simulation solver technologies and numerical integration methods with demonstrated experience applying industry best practices for achieving numerically stable, reliable simulations.
• Familiarity with AI/ML frameworks for blackbox or reduced order model development.

Remote available for any of the following locations:

Fayetteville, AR.

Washington, DC.

Philadelphia, PA.

Tallahassee, FL.