Fluid/CFD Engineer
Join a specialized team of PhD-level engineers to develop advanced CFD solvers and provide technical consulting for high-tech industries.
Best for:PhD-level CFD researchers with strong programming skills and an interest in applying AI to industrial fluid simulation.
Overview
MQue is seeking a highly skilled Fluid/CFD Engineer to join their simulation business unit in Tokyo. The role involves the research, development, and improvement of proprietary CFD solvers, with a focus on thermal-fluid and gas-liquid two-phase flows. You will work closely with clients in sectors such as aerospace, data centers, and manufacturing to solve complex technical challenges through simulation and consulting. The position requires a strong background in physics and numerical methods, as well as a proactive approach to integrating AI and automation into CFD workflows. All team members hold PhDs, and the company provides a research-oriented environment with access to high-performance computing clusters.
What you'll do
- Research and develop proprietary CFD solvers, focusing on physical models and numerical methods.
- Provide technical consulting to clients by analyzing complex fluid problems and proposing simulation-based solutions.
- Validate simulation results against experimental data and benchmarks to ensure accuracy and stability.
- Develop and implement AI-based surrogate models to accelerate simulation workflows and automate CFD processes.
- Collaborate with cross-functional teams to integrate research findings into practical industrial applications.
- Maintain and improve existing CFD software architecture using C++, Python, or Fortran.
Requirements
Degree required: PhD in Mechanical Engineering, Aerospace Engineering, Computational Science, or a related field.
Language: Daily conversational level in Japanese and English, or a strong willingness to acquire proficiency.
Instruction: Japanese/English
- Deep expertise in fluid dynamics and numerical analysis.
- Proven experience in implementing or improving CFD solvers.
- Proficiency in programming with Python, C++, or Fortran.
- Ability to interpret experimental data and correlate it with computational results.
- Strong communication skills for client-facing technical consulting.
- Willingness to learn and apply AI/machine learning techniques to research and development.
- Must hold a PhD in a relevant field.
Funding & terms
How to apply
Deadline: 2027-03-31 · open until filled
Interested candidates should submit their CV and a list of research achievements via email to the recruiting department. The selection process includes a casual interview, a technical assessment, and final interviews with company leadership.
- CV
- List of research achievements
Contact
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