Senior AI Solutions Architect

Job Summary

To support Industrial Engineering accounts, the full-time Senior AI Solutions Architect will act as a trusted technical advisor to simulation and engineering software developers, focusing on embedding NVIDIA accelerated computing and AI-augmented workflows into engineering applications.

Key responsibilities

• Collaborate with Business Development and Sales teams to drive ecosystem success across Industrial Engineering accounts
• Work directly with engineering-software developers and customer simulation teams to optimize CAE/CFD/FEA solvers on NVIDIA platforms
• Deliver trainings and technical demonstrations on NVIDIA solutions and platforms, while analyzing simulation architectures for performance improvements

Required qualifications

• MS/PhD in Mechanical, Aerospace, Civil, or Chemical Engineering, Computational Science, Applied Mathematics, Physics, or a related field
• 4+ years of experience in CAE/CFD/FEA or computational engineering numerical simulation
• Hands-on experience with commercial or open-source simulation tools such as Ansys or OpenFOAM
• Strong grounding in numerical methods and experience in algorithm programming using Python and C/C++
• Familiarity with accelerated computing platforms and HPC clusters/schedulers