Supervisor BESS Battery Modeling, Ford Energy

Ford Energy is a newly formed, wholly-owned subsidiary of Ford Motor Company dedicated to accelerating U.S. energy independence. Leveraging Ford's century of manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy storage systems (BESS). Ford Energy is uniquely positioned to capture the growing demand for reliable, US-built energy storage systems.

We are not just building batteries; we are building the infrastructure for the next generation of the American grid.

Why Ford Energy?

At Ford Energy, you have the backing of an industrial manufacturing powerhouse with the agility of a dedicated energy startup offering industry leading technology. We offer a competitive compensation package including performance-based bonuses, Ford vehicle discounts, and the opportunity to shape the energy strategy of one of the world's most iconic brands.

In this position...

The BESS Battery Modeling CAE Supervisor will lead Ford Energy's system-level battery modeling and simulation activities. This role manages all CAE initiatives in close coordination with Ford Auto battery resources and the Ford Energy Technical Solutions team. You will own the battery life, thermal, and multiphysics modeling efforts that translate cell-level behavior into actionable system-level tools, directly impacting the performance, durability, and "bankability" of our BESS platforms.

About Ford Energy Ford Energy is a newly formed, wholly owned subsidiary of Ford Motor Company dedicated to accelerating US energy independence. Leveraging Ford's century of manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy storage systems (BESS). Ford Energy is uniquely positioned to capture the growing demand for reliable, US-built energy storage systems.

We are not just building batteries; we are building the infrastructure for the next generation of the American grid.

What you'll do...

* Team Leadership & Governance

* Lead and develop a high-performing CAE team responsible for BESS modeling and simulation.

* Establish modeling standards, technical governance, and best practices for CAE execution across the organization.

* Provide CAE-driven recommendations for system architecture, thermal design, and performance optimization to support technical reviews and program delivery.

* Advanced Battery Modeling

* Own battery life prediction modeling, including capacity fade, resistance growth, calendar aging, and cycle aging.

* Lead pack- and container-level thermal and electro-thermal simulations for utility-scale applications.

* Oversee physics-based electrochemical modeling (e.g., P2D/P4D) and the development of reduced-order models.

* Digital Twin & System Validation

* Drive the development of integrated digital twin frameworks to monitor and predict system health.

* Ensure rigorous model validation against laboratory test data and real-world field performance.

* Collaborate with Ford Auto battery CAE teams to leverage reuse opportunities and align on modeling methodologies.

What you'll do...

* Team Leadership & Governance

* Lead and develop a high-performing CAE team responsible for BESS modeling and simulation.

* Establish modeling standards, technical governance, and best practices for CAE execution across the organization.

* Provide CAE-driven recommendations for system architecture, thermal design, and performance optimization to support technical reviews and program delivery.

* Advanced Battery Modeling

* Own battery life prediction modeling, including capacity fade, resistance growth, calendar aging, and cycle aging.

* Lead pack- and container-level thermal and electro-thermal simulations for utility-scale applications.

* Oversee physics-based electrochemical modeling (e.g., P2D/P4D) and the development of reduced-order models.

* Digital Twin & System Validation

* Drive the development of integrated digital twin frameworks to monitor and predict system health.

* Ensure rigorous model validation against laboratory test data and real-world field performance.

* Collaborate with Ford Auto battery CAE teams to leverage reuse opportunities and align on modeling methodologies.