AI Software Test Engineer

Dassault Systemes; Johnston (RI); On-site; USD 118,000 - 130,000; Full time

Benefits offered by this job

Bonus potential

401K match

Comprehensive benefits

Job summary

Dassault Systèmes is seeking a candidate to validate and enable ML workflows built on high-fidelity simulation data within the 3DEXPERIENCE platform. You will operate at the intersection of FEA, data preparation, and AI model validation, ensuring historical simulation datasets are accurate and production-ready for machine learning.

The role involves working in GUI-driven workflows on cloud HPC environments to execute, validate, and transform simulation outputs into structured datasets for

Qualifications

• Master's or PhD in Mechanical/Aerospace/Applied Physics/Computational Engineering.
• 0–3+ years of experience in simulation, CAE, or engineering software environments.
• Hands-on experience with at least one FEA tool.
• Strong knowledge of finite element fundamentals, boundary conditions, meshing, and solver behavior.
• Experience working with engineering datasets and structured data.
• Excellent English verbal and written communication skills.

Responsibilities

• Execute and validate physics-based simulations on the 3DEXPERIENCE platform.
• Review historical FEA datasets for boundary conditions, mesh quality, and material consistency.
• Transform simulation outputs into structured datasets for ML training.
• Perform regression and validation testing on workflows and datasets.
• Compare simulations against gold standards to ensure fidelity.
• Collaborate with R&D to ensure high-quality training data pipelines.
• Support surrogate model development by validating ML predictions against physics.
• Document test methodologies and data preparation workflows.

Skills

FEA fundamentals

FEA tool

Data validation

Python (NumPy/Pandas)

Cloud HPC workflows

English communication

Education

Master's degree in Mechanical Engineering

PhD in Computational Engineering or related field

Master's degree in Aerospace Engineering

Applied Physics

Tools

FEA software tool

Job description

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

Qualifications

• 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

Inclusion statement

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.

Compensation & Benefits

Dassault Systemes offers an excellent salary with potential for bonus, commensurate with experience. Benefits include a choice of plans providing comprehensive coverage for medical, dental, vision care for employee & dependents as well as employee life, short & long term disability, tuition reimbursement, immediate 401K enrollment, 401K match (50 cents on the dollar, up to the first 8% of your eligible compensation that you contribute based on match eligibility criteria), flexible time off policy, and 10 paid holidays.

Salary Pay Transparency

Compensation for the role will be commensurate with experience. The total expected compensation range will be between $118000 and $130000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.