Technology OPT Jobs in Rhode Island
Technology F-1 OPT sponsorship jobs in Rhode Island are concentrated in Providence, where employers like Atrion Networking, Cognex, and university-affiliated tech spinouts actively hire international talent. Brown University and URI's engineering programs feed a steady pipeline into the state's growing software, cybersecurity, and data analytics sectors, making OPT timing and employer readiness two factors worth researching before you apply.
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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.
OPT Technology Job Roles in Rhode Island
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Search Technology Jobs in Rhode IslandTechnology OPT Sponsorship Jobs in Rhode Island: Frequently Asked Questions
Which technology companies sponsor F-1 OPT visas in Rhode Island?
Rhode Island technology employers with documented OPT and H-1B visa sponsorship history include Atrion Networking, Cognex, Gilbane Building Company's technology division, and several defense and cybersecurity contractors clustered around the Quonset Business Park and Providence. Financial technology firms and health IT companies in the Wexford Innovation Complex also appear in DOL labor condition application records, signaling active sponsorship activity in the state.
Which cities in Rhode Island have the most technology F-1 OPT sponsorship jobs?
Providence accounts for the largest share of technology OPT sponsorship opportunities in Rhode Island, driven by proximity to Brown University, Rhode Island School of Design's digital programs, and the downtown innovation district. Warwick and North Kingstown are secondary hubs, with Quonset Business Park hosting defense technology and engineering employers. East Providence has a growing cluster of software and IT services firms that hire OPT candidates.
How do I find technology F-1 OPT sponsorship jobs in Rhode Island?
Migrate Mate lets you filter technology roles specifically by OPT sponsorship history in Rhode Island, using DOL labor condition application data to surface employers who have actively sponsored international candidates. This is more reliable than searching general job boards, where sponsorship status is often unstated or inaccurate. Focus your search on software engineering, data analytics, and cybersecurity roles, which appear most frequently among Rhode Island employers with verified OPT filing records.
What types of technology roles typically qualify for F-1 OPT sponsorship in Rhode Island?
Roles that most consistently qualify for OPT authorization in Rhode Island's technology sector include software engineers, data analysts, cybersecurity analysts, network engineers, and IT project managers. These positions satisfy the specialty occupation standard because they routinely require at least a bachelor's degree in computer science, information systems, or a closely related field. Roles in health informatics and defense technology systems also appear frequently in Rhode Island OPT authorization records.
Are there any state-specific considerations for F-1 OPT sponsorship in technology roles in Rhode Island?
Rhode Island's technology sector has a notable defense and government contracting component, particularly around Quonset and Newport, where security clearance requirements can complicate OPT eligibility since many clearances are unavailable to non-citizens. Employers at Brown University, URI, and their affiliated research centers are generally familiar with OPT authorization timelines, making academic and research-adjacent technology roles a practical starting point for F-1 students navigating their first OPT position in the state.