We are supporting an innovative technology company in its search for a motivated and technically strong R&D Engineer to join a growing development team. In this role, you will work on the research, development, and implementation of advanced CFD- and optimization-driven methods used in next-generation, simulation-based design technologies. You will collaborate closely with software engineers, application engineers, and product teams to translate cutting-edge research into robust, industrial-grade solutions. Responsibilities Your main responsibilities will include: Developing, implementing, and validating advanced CFD-based methods for thermal analysis and design optimization Contributing to adjoint-based optimization and gradient-driven design workflows Working with and extending CFD solvers (preferably OpenFOAM), including model development, solver customization, and performance improvements Designing and implementing optimization algorithms for geometry and system-level design problems Collaborating with application and product teams to translate industrial requirements into R&D priorities and technical solutions Evaluating, prototyping, and integrating AI/ML techniques where relevant (e.g. geometry handling, surrogate modeling, physics-aware acceleration) Ensuring robustness, accuracy, and scalability of algorithms for real-world industrial use cases Participating in code reviews, testing, documentation, and knowledge sharing within the R&D team Staying up to date with academic and industrial developments in CFD, optimization, and simulation-driven design Qualifications Master’s degree or PhD in Engineering, Applied Mathematics, Computer Science, or a related technical field Strong background in computational fluid dynamics (CFD) and thermal engineering Experience with numerical optimization methods (adjoint methods are a strong plus) Hands-on experience with OpenFOAM development and C++ is highly desirable Solid understanding of numerical methods, discretization techniques, and solver architectures Experience or interest in AI/ML applied to physics-based problems (e.g. surrogate models, physics-informed ML, geometry representations) is a bonus Ability to work independently on complex technical challenges in a fast-paced R&D environment Strong analytical skills and a structured, problem-solving mindset Good communication skills and ability to collaborate across disciplines What’s on Offer A role focused on core R&D challenges at the intersection of physics, optimization, and software Direct contribution to advanced, industrial-grade simulation and design technology Collaboration with a highly skilled, multidisciplinary team in a fast-growing technology environment Competitive salary and benefits package Strong opportunities for technical growth, learning, and long-term impact