Job Description

About Us:

Established in 2002, General Fusion is a global leader in the race to commercialize clean fusion energy. We are pursuing a uniquely practical approach, Magnetized Target Fusion, and aim to provide zero-carbon fusion power to the grid in the early to mid-2030s. Today at our state-of-the-art labs in Richmond, BC, we're operating a groundbreaking fusion demonstration machine called Lawson Machine 26 (LM26), designed to achieve transformational technical milestones and accelerate General Fusion's technology to commercialization. Our path to market is funded by a global syndicate of leading energy venture capital firms, industry leaders, and technology pioneers. Learn more at www.generalfusion.com.

Position Overview:

General Fusion is seeking a Computational Physicist to join our Applied Physics team. The successful candidate will contribute to the development, analysis, and optimization of advanced simulation models used to support fusion experimentation. This role involves post-processing simulation outputs, extracting and communicating key insights to cross-functional teams, and running parameter scans and optimization studies using in-house reduced-order modeling tools. The Computational Physicist will also perform routine Computational Fluid Dynamics (CFD) and Magnetohydrodynamics (MHD) simulations using both commercial and open-source software, compare simulation results with experimental data, and recommend or implement improvements to streamline simulation workflows.


This is a highly technical role that requires strong analytical skills, attention to detail, adaptability in a fast-paced R&D environment, and the ability to collaborate effectively with colleagues across a range of technical disciplines.

Responsibilities:

Set up and run Magnetohydrodynamics (MHD) simulations using customized Open FOAM solvers for various Magnetized Target Fusion (MTF) machine designs. Develop and maintain advanced post-processing tools to streamline workflows between Open FOAM and other simulation and analysis codes. Compare MHD simulation outputs with experimental data from MTF systems to assess model accuracy and identify areas for improvement. Prepare clear, well-structured technical reports, documentation, and presentations to communicate findings to internal stakeholders.
Other tasks as assigned.

Requirements:

Bachelor's degree in mechanical/aerospace engineering, Engineering Physics, Fluid mechanics, Computational sciences or related field. Minimum 3 years relevant experience, working in an R&D or lab environment. A Background in magnetohydrodynamics, fluid mechanics and heat transfer. Understanding of CFD/MHD principles and the ability to apply them to practical problems. Experience with open-source code such as Open FOAM. Programming skills and a willingness to learn new codes/languages Familiarity with MATLAB, Python or C++ A positive attitude and the ability to work in a fast-paced environment Master's Degree an asset Experience with Linux/Unix preferred. Experience with running/post-processing simulations on medium/large parallel computers preferred. Experience with optimization techniques preferred. Familiarity with experimental methods in fluid mechanics preferred.


The typical hiring range for this position is $90,000 - $110,000. General Fusion considers many factors when determining total compensation, including job-specific or highly specialized knowledge, skills and experience, proficiency, job location and internal equity.

What We Offer:

Flexible hours Four weeks' vacation Comprehensive benefits package RRSP Contribution Support for professional development Great company culture - social events, food trucks, bike rides, Sun Run, etc.

Applications:

We thank all applicants for their interest; only those selected for an interview will be contacted.

General Fusion is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.