Unikie is a software engineering and innovation company that infuses intelligence into machines, vehicles, and industrial solutions. We enable our clients to become leaders within their industries,…
Unikie is a software engineering and innovation company that infuses intelligence into machines, vehicles, and industrial solutions. We enable our clients to become leaders within their industries,…
Crunchbase records a Series A round and lists three investors (Tesi and Business Finland named); reported total funding amount is obfuscated in some sources.
Investor Signal
“Tesi; Business Finland; Peter Sarlin (investor in AI Lab)”
Data and AnalyticsDeepTechInformation TechnologySales and MarketingSoftware
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WE ARE LOOKING FORAI CFD Simulation Engineer
We seeking an AI CFD (computational fluid dynamics) Simulation Engineer to join the team. This position will support the development and integration of machine-learning and hybrid physics–AI models to accelerate and automate fluid dynamics simulations used in hardware and device design. The role will be in close collaboration with simulation engineers to build intelligent tools and improve design workflows.
Main Responsibilities
Develop hardware acceleration solution to improve CFD simulation efficiency based on OpenFOAM/SU2.
Data processing, data analyzing, feature engineering, AI modeling, and AI model optimizing in the domain of computational fluid dynamics.
Designing and implementing efficient AI algorithm solutions based on domain knowledge and database features to improve simulation efficiency.
Tracking the development of international cutting-edge simulation acceleration technologies, exploring innovative application scenarios of GPU/AI+simulation, and promoting the implementation of technological innovation.
Required Qualifications
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Master's degree or above in computational fluid dynamics, mechanical engineering, applied mathematics, computer science, or a closely related discipline.
Proficient in mathematical foundations such as numerical analysis methods, machine learning theory, probability statistics.
Familiar with the principle of finite element analysis and its application in engineering simulation.
Solid foundation in data structure and algorithm.
Familiar with the principle of LLM and Graph Neural Network.
Proficient in programming languages, such as Python and C++, and have good code development capabilities.
Proficient in the core numerical simulation workflow, include Finite Volume Method (FVM) and Finite Element Method (FEM) algorithms.
Experience with commercial simulation software such as Ansys, Abaqus, COMSOL, and CST is preferred.
Proficient in high-performance computing (HPC) acceleration frameworks such as CUDA, OpenCL, HIP and OpenACC.
Proficient in simulation framework: OpenFOAM or SU2;
Practical experience in AI+ simulation projects is preferred.
Experience in secondary development or solver customization is highly preferred.
Experience in Deep Neural Networks (DNN) or Large Language Models (LLMs) is preferred.
Excellent independent research and problem-solving skills
Good teamwork spirit and communication skills
Highly sensitive to new technologies and continuous learning
Good at summarizing and sharing, and skilled in writing articles and reports.
