Technology E-3 Sponsorship Jobs in Rhode Island
Rhode Island's technology sector, anchored by companies like Atrion, Amgen, and a growing concentration of defense and cybersecurity firms near Providence, includes employers with active E-3 visa sponsorship histories. Software engineering, data analytics, and IT infrastructure roles in Providence and Woonsocket represent the strongest hiring areas for Australian professionals pursuing E-3 technology positions.
Find Technology JobsOverview
Showing 4 of 7+ Technology E-3 Sponsorship Jobs in Rhode Island
See all Technology E-3 Sponsorship Jobs in Rhode Island
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Technology E-3 Sponsorship Jobs in Rhode Island.
Get Access To All JobsROLE 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 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.
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.
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 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.
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.
E-3 Technology Job Roles in Rhode Island
See all Technology E-3 Jobs in Rhode Island
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Technology Jobs in Rhode IslandTechnology E-3 Sponsorship Jobs in Rhode Island: Frequently Asked Questions
Which technology companies in Rhode Island have sponsored E-3 visas?
Rhode Island technology employers with documented visa sponsorship activity include defense contractors, healthcare IT firms, and software companies concentrated in the Providence metro area. Companies such as Atrion Networking, Amgen's Rhode Island operations, and firms supporting Brown University's research ecosystem have filed Labor Condition Applications for technology roles. Sponsorship patterns vary by company size and hiring cycle, so checking DOL disclosure data for current LCA filings gives the most accurate picture.
Which cities in Rhode Island have the most technology E-3 sponsorship jobs?
Providence accounts for the largest share of technology sponsorship activity in Rhode Island, driven by its concentration of healthcare IT, financial technology, and defense-sector employers. Woonsocket, home to CVS Health's technology division, is a secondary hub for software and data engineering roles. East Providence and Warwick also host technology employers, particularly in managed services and cybersecurity, making the broader Providence metro the most productive area for E-3 technology candidates.
What types of technology roles typically qualify for E-3 sponsorship in Rhode Island?
Roles that qualify for E-3 sponsorship must meet the specialty occupation standard, requiring at least a bachelor's degree in a directly related field. In Rhode Island's technology sector, software engineers, data analysts, cybersecurity analysts, network architects, and cloud infrastructure engineers most commonly meet this threshold. Positions supporting healthcare IT compliance, defense systems, and financial software at larger Rhode Island employers tend to have the clearest degree-to-role alignment that supports an E-3 application.
How do I find technology E-3 sponsorship jobs in Rhode Island?
Migrate Mate is built specifically to surface E-3-eligible technology roles by filtering employers using DOL Labor Condition Application data, so you can identify Rhode Island companies that have actively sponsored E-3 or comparable specialty occupation visas. Searching by technology job category and filtering to Rhode Island on Migrate Mate lets you focus on employers already familiar with the E-3 process, which reduces friction during hiring conversations compared to approaching companies with no prior sponsorship history.
Are there any Rhode Island-specific considerations for technology E-3 sponsorship?
Rhode Island's technology market skews toward defense, healthcare IT, and financial services rather than consumer software, which means employers tend to be larger organizations with established HR and legal functions more capable of managing E-3 filings. The state does not impose additional licensing requirements on most software and data roles. However, technology positions at defense contractors may require security clearances, which are generally not available to non-U.S. citizens, narrowing the pool of eligible E-3 roles at those specific employers.
What is the prevailing wage for E-3 technology jobs in Rhode Island?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.