Staff Multiphysics Modeler

About the role

You will own the development of a fuel cycle model for the world's first fusion power plant, ARC, in Chesterfield County, Virginia, in close partnership with the CFS tritium program and process engineering team. You will design simulation toolkits and workflows that integrate first-principles multiphysics simulations with industrial process models to support technology development and subsystem integration for key fuel cycle systems. You will collaborate with the CFS fuel team to understand system requirements and translate them into rigorous modeling frameworks. You will optimize devices by tuning material parameters and leveraging non-dimensional analysis to drive simple, effective solutions. You will conduct cost-benefit analyses to evaluate the economics of proposed solutions and ensure technical decisions align with commercial viability. You will enjoy teaching and building tools that others can use independently, fostering self-sufficiency across the team. You will work on engineering projects in multi-disciplinary teams, generating effective solutions to complex problems that span physics, process, and economics. You will contribute to the larger mission of delivering the urgent transition to fusion energy by enabling the fuel cycle that makes commercial power plants possible.

Key facts

What you'll do

Perform multiphysics simulations of heat and mass transport for tritium fuel cycle subsystems using first-principles models.

Develop process models that integrate industrial workflows with detailed physics to support technology development and subsystem integration.

Generate simulation toolkits and workflows that enable rigorous integrated simulations across the fuel cycle problem space.

Collaborate with the fuel team to translate system requirements into modeling assumptions, boundary conditions, and performance metrics.

Optimize device performance by tuning material parameters and applying non-dimensional analysis to identify key design drivers.

Conduct cost-benefit analyses to evaluate the economics of proposed solutions and support technically sound decision-making.

Create teaching materials and documentation that allow other team members to use simulation tools independently and effectively.

Work within multi-disciplinary engineering teams to solve complex problems spanning physics, process engineering, and system integration.

Support the development of commercially viable fusion power plants by ensuring fuel cycle models align with real-world constraints.

Drive simulation workflows that bridge detailed physics with industrial process models to enable scalable and reliable analysis.

Apply first-principles thinking to address challenging engineering problems where simplified models must still capture essential physics.

Demonstrate success in delivering engineering solutions in multi-disciplinary environments while balancing technical depth and practical outcomes.

Use structured analysis to explore design spaces, quantify trade-offs, and recommend optimal configurations for fuel cycle subsystems.

Contribute to a culture of rigorous simulation and continuous improvement that supports CFS's rapid development timeline.

Requirements

You must have a Bachelor's, Master's, or PhD degree in a relevant engineering or science discipline.

You must have experience in process modeling and programming to build quantitative simulations of physical systems.

You must have a demonstrated ability to apply a first principles approach in solving complex engineering problems.

You must have experience conducting cost-benefit analyses to evaluate the economics of proposed solutions.

You must have demonstrated success working on engineering projects in multi-disciplinary teams generating effective solutions to complex problems.

You must be comfortable working with partial differential equations, numerical methods, and computational tools used in heat and mass transport.

You must have strong programming skills in at least one high-level language commonly used for scientific computing and simulation.

You must have a strong foundation in transport phenomena, thermodynamics, and fluid dynamics as they apply to energy systems.

Nice to have

Experience with tritium fuel cycle systems, plasma-facing components, or nuclear energy applications.

Experience building simulation toolkits that are used by non-experts in industrial environments.

Experience with system integration across physics, process, and controls domains.

Experience in high-performance computing or parallelization for large-scale simulations.

Experience in teaching technical concepts to cross-functional teams through documentation and model demonstrations.

Practical notes

The role is based in Devens, Massachusetts.

This is a full-time position.

Travel may be required in connection with business needs.

Candidates must be authorized to work in the United States without sponsorship now or at the time of hire.

All employment is subject to background checks and compliance with applicable laws and policies.

This job description does not constitute a contract of employment and may be updated at any time. CFS reserves the right to modify roles, responsibilities, and requirements as the business evolves.