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