AI Software Test Engineer

Role Description & Responsibilities

Do you have a passion for multiphysics simulation, data integrity, and AI-driven engineering workflows? Join us to help validate and enable next-generation machine learning models built on high-fidelity simulation data within the 3DEXPERIENCE platform.

In this role, you will operate at the intersection of finite element analysis (FEA), data preparation, and AI model validation, ensuring that historical simulation datasets are accurate, consistent, and production-ready for machine learning applications.

You will work primarily within GUI-driven workflows on cloud-based HPC environments to execute, validate, and prepare simulation data used to power predictive engineering and design optimization.

Key Responsibilities

• Execute and validate physics-based simulations using the 3DEXPERIENCE platform environment
• Review and validate historical FEA datasets for:
  • Boundary condition correctness
  • Mesh quality and convergence behavior
  • Material model consistency
• Prepare and transform simulation outputs into structured datasets for machine learning training:
  • Feature extraction
  • Normalization and consistency checks
  • Label validation
• Perform regression and validation testing on simulation workflows and datasets
• Compare simulation outputs against baseline or “gold standard” datasets to ensure fidelity
• Identify and debug issues in simulation execution across cloud HPC environments (job failures, convergence issues, runtime errors)
• Collaborate with R&D team members in Product Define, and Development to ensure high-quality training data pipelines
• Support development of surrogate models by validating ML predictions against physics-based results
• Document test methodologies, validation criteria, and data preparation workflows