{"schemaVersion":"jobsearcher.job.v1","id":"d49db1b4e60bcd18d6474688","url":"https://jobsearcher.com/jobs/d49db1b4e60bcd18d6474688","canonicalUrl":"https://jobsearcher.com/jobs/d49db1b4e60bcd18d6474688","title":"AI Software Test Engineer","description":"Role Description & Responsibilities\n\nDo 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.\n\nIn 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.\n\nYou 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.\n\nKey Responsibilities\n\nExecute and validate physics-based simulations using the 3DEXPERIENCE platform environment\nReview and validate historical FEA datasets for:\nBoundary condition correctness\nMesh quality and convergence behavior\nMaterial model consistency\nPrepare and transform simulation outputs into structured datasets for machine learning training:\nFeature extraction\nNormalization and consistency checks\nLabel validation\nPerform regression and validation testing on simulation workflows and datasets\nCompare simulation outputs against baseline or “gold standard” datasets to ensure fidelity\nIdentify and debug issues in simulation execution across cloud HPC environments (job failures, convergence issues, runtime errors)\nCollaborate with R&D team members in Product Define, and Development to ensure high-quality training data pipelines\nSupport development of surrogate models by validating ML predictions against physics-based results\nDocument test methodologies, validation criteria, and data preparation workflows\nQualifications\nMaster’s or PhD degree in:\nMechanical Engineering\nAerospace Engineering\nApplied Physics\nComputational Engineering or related field\n0–3+ years of experience in simulation, CAE, or engineering software environments\nHands-on experience with at least one FEA tool\nStrong understanding of:\nFinite Element Analysis fundamentals\nBoundary conditions, meshing, and solver behavior\nNumerical accuracy and convergence\nExperience working with engineering datasets and structured data\nExcellent English verbal and written communication skills\n\nPreferred Qualifications\n\nExperience using the 3DEXPERIENCE platform\nExposure to machine learning workflows or data pipelines\nFamiliarity with Python (NumPy, Pandas) for data processing\nExperience running simulations in cloud or HPC environments (e.g., job scheduling, distributed compute)\nUnderstanding of:\nSurrogate modeling\nReduced-order modeling\nDesign optimization workflows\nExperience with test case design, validation strategies, and regression testing in numerical systems\nInclusion statement\nIn 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.\nCompensation & Benefits\nDassault Systèmes 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.\nSalary Pay Transparency\n\nCompensation 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.","company":"Dassault Systemes","rawCompany":"dassault systemes","city":"Baker","state":"LA","isRemote":false,"isActive":false,"createdAt":"2026-10-29T07:37:59.984Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Software Test Engineer","description":"Role Description & Responsibilities\n\nDo 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.\n\nIn 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.\n\nYou 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.\n\nKey Responsibilities\n\nExecute and validate physics-based simulations using the 3DEXPERIENCE platform environment\nReview and validate historical FEA datasets for:\nBoundary condition correctness\nMesh quality and convergence behavior\nMaterial model consistency\nPrepare and transform simulation outputs into structured datasets for machine learning training:\nFeature extraction\nNormalization and consistency checks\nLabel validation\nPerform regression and validation testing on simulation workflows and datasets\nCompare simulation outputs against baseline or “gold standard” datasets to ensure fidelity\nIdentify and debug issues in simulation execution across cloud HPC environments (job failures, convergence issues, runtime errors)\nCollaborate with R&D team members in Product Define, and Development to ensure high-quality training data pipelines\nSupport development of surrogate models by validating ML predictions against physics-based results\nDocument test methodologies, validation criteria, and data preparation workflows\nQualifications\nMaster’s or PhD degree in:\nMechanical Engineering\nAerospace Engineering\nApplied Physics\nComputational Engineering or related field\n0–3+ years of experience in simulation, CAE, or engineering software environments\nHands-on experience with at least one FEA tool\nStrong understanding of:\nFinite Element Analysis fundamentals\nBoundary conditions, meshing, and solver behavior\nNumerical accuracy and convergence\nExperience working with engineering datasets and structured data\nExcellent English verbal and written communication skills\n\nPreferred Qualifications\n\nExperience using the 3DEXPERIENCE platform\nExposure to machine learning workflows or data pipelines\nFamiliarity with Python (NumPy, Pandas) for data processing\nExperience running simulations in cloud or HPC environments (e.g., job scheduling, distributed compute)\nUnderstanding of:\nSurrogate modeling\nReduced-order modeling\nDesign optimization workflows\nExperience with test case design, validation strategies, and regression testing in numerical systems\nInclusion statement\nIn 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.\nCompensation & Benefits\nDassault Systèmes 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.\nSalary Pay Transparency\n\nCompensation 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.","datePosted":"2026-10-29T07:37:59.984Z","dateModified":"2026-10-29T07:37:59.984Z","hiringOrganization":{"@type":"Organization","name":"Dassault Systemes","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Baker","addressRegion":"LA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d49db1b4e60bcd18d6474688"},"url":"https://jobsearcher.com/jobs/d49db1b4e60bcd18d6474688"}}