Staff Industrial Engineer, Factory Modeling

Industrial Engineer, Factory Modeling

Form Energy is seeking an Industrial Engineer, Factory Modeling to serve as the analytical engine behind our manufacturing footprint. In this role, you will bridge the gap between high-level conceptual design and real-world production capability. By developing detailed discrete-event simulations, capacity models, and facility layouts, you will provide the data-driven insights necessary to optimize our factory design for cost, throughput, and floorspace efficiency.

You will partner closely with the Factory Design Manager and the Automation Strategy Engineer to validate designs, stress-test scaling plans, and ensure our manufacturing systems are built for long-term operational success.

Relocation assistance is available.

• Develop and maintain comprehensive factory simulation models (discrete-event, process flow) to predict throughput, identify bottlenecks, and optimize layout efficiency.
• Conduct detailed capacity analysis to validate factory concepts against production volume targets, supporting long-term capital planning and roadmap decisions.
• Collaborate with the Factory Design Team to refine facility layouts, specifically optimizing floorspace utilization, material flow, and logistics infrastructure.
• Partner with Automation Engineering to model the integration of automated systems into current workflows, evaluating the impact of technology changes on cycle times and labor requirements.
• Perform sensitivity analysis on key process variables (e.g., uptime, yield, setup time) to determine the robustness of factory design concepts under varying operational scenarios.
• Present data-driven findings and simulation results to cross-functional leadership, providing actionable recommendations to improve operational efficiency and capital allocation.

• 7+ years of experience in industrial engineering, manufacturing systems modeling, or simulation within a complex production environment.
• Proficiency in factory simulation software (e.g., Flex Sim, Any Logic, Arena, or similar) and advanced capacity modeling tools (Excel, Python, or SQL for data processing).
• Strong analytical ability to translate complex process requirements into validated, high-fidelity models.
• Demonstrated understanding of lean manufacturing principles, material handling, and logistics optimization.
• Ability to effectively communicate quantitative insights to diverse stakeholders, influencing design choices with data.
• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or a related field.

This role is based at Form Factory 1 in Weirton, WV—an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing. Relocation assistance is available.

Humanity is a cornerstone of Form Energy's culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family's health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents.

This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed.

To build America's energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs.

If you may require reasonable accommodations to participate in our interview process, please contact  Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.