Public summary
We are seeking a Numerical Research Engineer to lead the development and improvement of numerical algorithms and physical models within advanced multiphysics simulation software. The role requires deep understanding of mathematical foundations and numerical behavior to create accurate and efficient simulation tools applicable in industrial settings. Candidates should hold a relevant engineering or computer science degree, have experience in C++ and Python programming, and be proficient in physics-based simulation methods such as SPH, FEM, or FVM. Professional English fluency is required. This position offers the opportunity to contribute to cutting-edge simulation technology within a dynamic, innovative company based in Berlin.
Location and work setup
- Location
- Berlin
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Salary
EUR 72000.00 - 87000.00 year
Responsibilities
Lead technical development of numerical algorithms and physical models in in-house solvers, including methods like SPH, FEM, and FVM. Research and adapt modeling approaches to fit solver architecture and industrial requirements. Prototype and evaluate numerical behaviors and limitations. Design physical and numerical test cases to define model applicability. Analyze solver performance with regard to stability, convergence, and model assumptions. Collaborate with software developers to transition innovations into production-ready software. Document models, algorithms, and findings; communicate validation results and insights internally.
Qualifications
Degree in engineering science, applied science, computer science, or related field. Several years of experience developing simulation software using C++; proficiency in Python is a plus. Strong background in physics-based simulation methods including SPH, FEM, or FVM. Experience in solver development or building simulation methods from scratch. Attention to detail in numerical modeling with ability to diagnose inaccuracies and evaluate model impacts. Strong communication skills for technical collaboration and documentation. Professional fluency in English.