AI Software Test Engineer

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

• Master’s or PhD degree in:
  • Mechanical Engineering
  • Aerospace Engineering
  • Applied Physics
  • Computational Engineering or related field
• 0–3+ years of experience in simulation, CAE, or engineering software environments
• Hands-on experience with at least one FEA tool
• Strong understanding of:
  • Finite Element Analysis fundamentals
  • Boundary conditions, meshing, and solver behavior
  • Numerical accuracy and convergence
• Experience working with engineering datasets and structured data
• Excellent English verbal and written communication skills

Preferred Qualifications

• Experience using the 3DEXPERIENCE platform
• Exposure to machine learning workflows or data pipelines
• Familiarity with Python (NumPy, Pandas) for data processing
• Experience running simulations in cloud or HPC environments (e.g., job scheduling, distributed compute)
• Understanding of:
  • Surrogate modeling
  • Reduced-order modeling
  • Design optimization workflows
• Experience with test case design, validation strategies, and regression testing in numerical systems