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nOur Why At Dotmatics nAt Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. nOur Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian.nWe have a vision for a new Lab of the Future that will change the future of scientific research.nWe have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.nScientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.nShaping the Future of Science At Dotmatics nOur global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.nYou’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D; platform.



We need your help to keep growing and pioneering the future.nnWe are Science Driven. We are Customer Centric. We are Better Together. nnnnnnnnWe are seeking a CFD Solver Developer, an expert in Computational Fluid Dynamics, to help develop, extend, and validate our core solver technology. This role is ideal for someone who enjoys working at the intersection of numerical methods, high-performance computing, and real-world engineering applications. The successful candidate will contribute directly to solver architecture, algorithm development, GPU acceleration, and multiphysics model implementation, while collaborating with users and support engineers to ensure the software remains both scientifically rigorous and practically useful.nM-Star is building GPU-native, Multiphysics solver for complex fluid and particle systems. Our platform is designed to deliver high-fidelity, predictive simulations of real industrial processes, including turbulent mixing, multiphase flows, particle transport, heat and mass transfer, and chemically reactive systems. We focus on mechanistic modelling rooted in transport physics, rather than empirical tuning, enabling reliable predictions across a wide range of operating conditions and scales.nIn this role you will get to nn Develop M-Star’s fluid dynamics solver including maintenance, feature addition, algorithm implementation, and validationnTranslate academic research in numerical methods into a high-performance,



easy-to-use software productnModel a wide-range of physics including fluid dynamics, multiphase flows, advection-diffusion, particle mechanics, and heat transfern Implement meshing algorithms and data structures for GPU architectures in a distributed memory settingn Work with support engineers and users to tailor software to current needsnPerform validation studies and present results at conferencesnnWe are looking for people with a background in numerical methods for transport physics (fluid dynamics, advection-diffusion, particle mechanics, or heat transfer) ideally with a PhD in chemical engineering, mechanical engineering, or physics. You will demonstrate expert experience in writing high performance physics codes using parallel computing in shared and distributed memory systemsnThe Key skills we are looking for nnC++ programming skillsnWorking with lattice Boltzmann methods (LBM) for fluid simulationnKnowledge of the discrete element method (DEM) for particle mechanicsnSpecialization in numerical methods for multiphase modelling of liquid-liquid and gas-liquid systemsnAlgorithms for computational geometry including structured/unstructured meshing, 3D search, and mesh refinementn Detailed understanding of GPU architectures and CUDA toolkitnMPI programming for multi-GPU code developmentnFamiliarity with debugging and profiling tools for CUDA/MPI applicationsnWorking on a large Multiphysics solvernnnnnnnnnResearch shows us the confidence gap and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you.nBy submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and rela

Apply on Kit Job: kitjob.ca/job/2aojv0

📌 CFD Solver Developer | M-Star (Canada)
🏢 Dotmatics
📍 Canada