Recruit Detail
Find out more about the work we do, the experience and skills we can bring to the table, and our terms and conditions.
Company Name
QunaSys Co., Ltd.
Job Type
CAE Researcher
Work Detail
QunaSys is recruiting researchers to conduct research and development in the field of CAE (Computer-Aided Engineering)! Job Description - CAE is a fundamental technology supporting manufacturing in industries such as automotive, aerospace, energy, materials, and manufacturing. However, high-precision simulations require enormous computing resources, making computation time and cost major challenges. - At QunaSys, we aim to realize next-generation simulation technology that surpasses the limitations of conventional CAE by integrating quantum computing, numerical simulation, and AI. CAE Research Team Mission - Our goal is to accelerate innovation in manufacturing by integrating quantum computing and CAE (Computer-Aided Engineering) to achieve large-scale, high-precision simulations that were difficult with conventional supercomputers alone. - To achieve this, we are developing next-generation CAE workflows that integrate numerical analysis methods for nonlinear partial differential equations, such as CFD (Computational Fluid Dynamics), with quantum algorithms and fault-tolerant quantum computing to solve industrial challenges in automotive, aerospace, energy, materials, and manufacturing. Specific Job Responsibilities (Flexible approach based on skills and interests) * Research and Development of Quantum Algorithms for CAE Research and development of quantum algorithms related to fluid analysis, structural analysis, thermal fluid analysis, electromagnetic field analysis, acoustic analysis, etc. Exploration of computationally valuable problems. * Hybrid Integration with Classical Computation Design and development of scalable CAE workflows that appropriately combine classical and quantum computers. Design and development of pre-processing, solvers, and post-processing based on quantum computers. * Problem Solving with Clients and Collaborating Partners (PoC, Joint Development) Hearing client and researcher challenges and proposing solutions from the perspective of CAE and quantum computing. Iterative improvement through PoC design, regular reporting, and feedback. Publication of results through collaborative research (papers, benchmark/demo PR). • Balancing field-leading innovative research with practical social implementation in industrial settings We grasp the latest papers and trends, and propose and promote research themes that balance feasibility and impact. Through collaborative research with universities and companies, we create new technologies that are globally applicable and advance their application to real-world problems. We collaborate with other teams to accelerate the productization of technologies and the social implementation of results.
Ideal Profile
Required Skills * Specialized knowledge in one of the following areas: fluid mechanics, solid mechanics, thermodynamics, electromagnetism, etc. * Ability to implement numerical computation code using Python, C++, etc. * Ability to understand and implement the latest research papers * Ability to write papers and give oral presentations at academic conferences in English * Business-level Japanese communication skills * A proactive attitude toward improving skills while working. Preferred Skills * While not all of the following skills and experience are required, they are particularly welcome. • Doctoral degree (Engineering, Science, etc.) • Research and practical experience in fluid analysis, structural analysis, thermal fluid analysis, electromagnetic field analysis, and acoustic analysis • Research and implementation experience in numerical analysis methods such as finite element method (FEM), finite volume method (FVM), finite difference method (FDM), lattice Boltzmann method (LBM), and particle method • Research and implementation experience in numerical linear algebra such as sparse matrix calculation, eigenvalue problems, and matrix preprocessing • Experience in turbulence analysis using RANS, LES, and DNS in the CFD field • Experience using general-purpose CFD software such as OpenFOAM, ANSYS Fluent, and STAR-CCM+ • Experience automating and integrating CAE workflows, including CAD, mesh generation, solver execution, post-processing, and optimization • Experience in parallel numerical computation, performance analysis, and algorithm optimization for GPUs and HPC using MPI, OpenMP, CUDA, etc. • Research and implementation experience in quantum algorithms and quantum information, or high expertise in CAE and numerical analysis, and a willingness to proactively acquire quantum computing skills • Experience in collaborative research and PoC promotion with clients
What we especially look for in a PhD or postdoctoral fellow
Preferred Skills • Doctoral Degree (Engineering, Science, etc.)
Work Location
113-0001 1-13-7 Hakusan, Bunkyo-ku, Tokyo, Aqua Hakusan Building 9F Remote work (You can work from home or the office) [Head Office Access] 6-minute walk from Hakusan Station on the Toei Mita Line 10-minute walk from Kasuga Station on the Toei Oedo Line
Phd. Stating Salary
Annual salary: ¥6,000,000 - ¥10,000,000 *Salary will be determined based on previous work experience and skills. (2-month probationary period)
Selection Flow
Selection Process The process consists of 6 steps (including 4 interviews). ① Document Screening → ② Casual Interview (with selection elements) → ③ Assignment (initial selection based on submitted assignment) → ④ Assignment Interview → ⑤ Executive Interview → ⑥ CEO Interview The assignment interview provides a valuable opportunity to discuss with our researchers. We look forward to receiving your application!