CFD Software Engineer (GPU & AI Simulation)

About the role

Cadence is looking for a CFD Software Development Engineer to join its CFD R&D team in Japan. The role focuses on developing and enhancing next-generation GPU-accelerated CFD simulation technologies, including AI-assisted simulation methods. It sits at the intersection of computational physics, high-performance computing and AI-assisted engineering.

Key responsibilities

• Design, implement and maintain CFD solver capabilities on GPU platforms.
• Investigate and resolve complex technical issues reported by customers and internal teams.
• Develop and maintain AI-ready product and services, including structured APIs and tool interfaces that let AI systems interact with simulations safely and effectively.
• Build software components that expose product functionality to AI agents and intelligent workflows, and support their integration into modern AI ecosystems.
• Contribute to AI-native software engineering practices across the product portfolio and take part in architecture discussions and long-term platform evolution.
• Develop automated testing, validation and CI/CD workflows, and deliver high-quality, well-documented software.
• Collaborate across geographically distributed teams.

Required profile

• PhD in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Computational Science, Artificial Intelligence or a related discipline.
• Strong analytical and problem-solving skills.
• Ability to explain technical concepts clearly in English.

Required skills

• Software development in C++ and Python.
• A GPU computing language such as CUDA, OpenCL, OpenACC or OpenMP offloading.
• Message Passing Interface (MPI).
• Preferred: CFD, scientific computing, finite volume method, REST API design, agent frameworks, LLM applications and workflow automation.