Research Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for research engineer visa sponsorship, anchored by world-class institutions like MIT, Harvard, and the Broad Institute alongside major tech and biotech employers including Google, Amazon, and Biogen. Boston, Cambridge, and the Route 128 corridor concentrate the majority of these roles, spanning AI, life sciences, and semiconductor research.
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Get Access To All JobsJob Requisition ID #
26WD98522
Position Overview
Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products—AutoCAD, Revit, and Construction Cloud—and Forma, our new Industry Cloud.
As a Principal Research Engineer on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that can enhance design and engineering workflows.
Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston, Massachusetts or East Coast, United States
Responsibilities
- Collaborate with other engineers and scientists to develop scalable data pipelines for diverse AEC data sources used in production ML systems, including BIM, CAD, and infrastructure design data
- Work with large-scale, multi-modal datasets including text and geometric data, to design novel preprocessing, augmentation, analysis and content understanding
- Transform unstructured AEC and infrastructure data into representations suitable for machine learning
- Lead cross-functional collaboration with ML Research Scientists and Engineers to align data formats with downstream training and fine-tuning of LLMs
- Apply deduplication, normalization, and validation techniques to ensure high-quality data in production environments
- Architect and optimize pipelines for scalability, reproducibility, and cloud deployment
- Mentor junior engineers and provide technical guidance on complex data challenges
- Drive technical decision-making and influence best practices across the team
- Perform requirements analysis with senior stakeholders, ensuring technical solutions meet both immediate project goals and long-term research objectives
- Communicate findings and technical insights through quantitative analysis, visualizations, and clear documentation
- Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs
- Participate in technical planning and roadmap development
Minimum Qualifications
- MSc or PhD in Computer Science, Engineering, or a related field
- 5–8+ years of experience in Machine Learning, Engineering, or related fields
- Proven technical leadership, including leading complex projects and influencing technical direction in cross-functional teams
- Strong experience in geometric data modeling and processing, including complex 2D/3D representations, computational geometry, and data architectures
- Familiarity with machine learning concepts and frameworks and how data is represented for training
- Proficiency in Python and strong software development practices
- Ability to translate research ideas into production-grade systems
- Excellent communication skills with ability to influence and guide technical decisions
- Background in Architecture, Engineering, or Construction (AEC)
Preferred Qualifications
- Experience with AEC data formats and workflows (e.g., BIM, IFC, CAD, or civil infrastructure design models)
- Exposure to AEC, infrastructure, or reality capture workflows and related platforms such as Autodesk Civil 3D, InfraWorks, ReCap, or similar systems is a plus
- Experience delivering production ML or data systems
- Strong foundations in core computer science (data structures, algorithms, systems, and scalability)
- Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks such as PyTorch
- Experience building scalable data or ML pipelines in cloud environments (e.g., AWS, SageMaker)
- Experience mentoring senior engineers or leading small technical teams
- Track record of driving technical innovation and engineering best practices
The Ideal Candidate
You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) and infrastructure customers by applying machine learning techniques. You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills. You easily collaborate with others and are comfortable with minimal direction. You are constantly striving to learn new technologies and methodologies. You seek new ways to solve hard problems. You are unafraid to put your ideas out there and fail fast.
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
Job Requisition ID #
26WD98522
Position Overview
Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products—AutoCAD, Revit, and Construction Cloud—and Forma, our new Industry Cloud.
As a Principal Research Engineer on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that can enhance design and engineering workflows.
Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston, Massachusetts or East Coast, United States
Responsibilities
- Collaborate with other engineers and scientists to develop scalable data pipelines for diverse AEC data sources used in production ML systems, including BIM, CAD, and infrastructure design data
- Work with large-scale, multi-modal datasets including text and geometric data, to design novel preprocessing, augmentation, analysis and content understanding
- Transform unstructured AEC and infrastructure data into representations suitable for machine learning
- Lead cross-functional collaboration with ML Research Scientists and Engineers to align data formats with downstream training and fine-tuning of LLMs
- Apply deduplication, normalization, and validation techniques to ensure high-quality data in production environments
- Architect and optimize pipelines for scalability, reproducibility, and cloud deployment
- Mentor junior engineers and provide technical guidance on complex data challenges
- Drive technical decision-making and influence best practices across the team
- Perform requirements analysis with senior stakeholders, ensuring technical solutions meet both immediate project goals and long-term research objectives
- Communicate findings and technical insights through quantitative analysis, visualizations, and clear documentation
- Contribute to agile workflows, ensuring flexibility and responsiveness to evolving project needs
- Participate in technical planning and roadmap development
Minimum Qualifications
- MSc or PhD in Computer Science, Engineering, or a related field
- 5–8+ years of experience in Machine Learning, Engineering, or related fields
- Proven technical leadership, including leading complex projects and influencing technical direction in cross-functional teams
- Strong experience in geometric data modeling and processing, including complex 2D/3D representations, computational geometry, and data architectures
- Familiarity with machine learning concepts and frameworks and how data is represented for training
- Proficiency in Python and strong software development practices
- Ability to translate research ideas into production-grade systems
- Excellent communication skills with ability to influence and guide technical decisions
- Background in Architecture, Engineering, or Construction (AEC)
Preferred Qualifications
- Experience with AEC data formats and workflows (e.g., BIM, IFC, CAD, or civil infrastructure design models)
- Exposure to AEC, infrastructure, or reality capture workflows and related platforms such as Autodesk Civil 3D, InfraWorks, ReCap, or similar systems is a plus
- Experience delivering production ML or data systems
- Strong foundations in core computer science (data structures, algorithms, systems, and scalability)
- Understanding of deep learning architectures (CNNs, Transformers) and familiarity with frameworks such as PyTorch
- Experience building scalable data or ML pipelines in cloud environments (e.g., AWS, SageMaker)
- Experience mentoring senior engineers or leading small technical teams
- Track record of driving technical innovation and engineering best practices
The Ideal Candidate
You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) and infrastructure customers by applying machine learning techniques. You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills. You easily collaborate with others and are comfortable with minimal direction. You are constantly striving to learn new technologies and methodologies. You seek new ways to solve hard problems. You are unafraid to put your ideas out there and fail fast.
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
Research Engineer Job Roles in Massachusetts
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Search Research Engineer Jobs in MassachusettsResearch Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for research engineers in Massachusetts?
Major sponsors in Massachusetts include MIT Lincoln Laboratory, the Broad Institute, Draper Laboratory, Google's Cambridge office, Amazon, Microsoft, and biotech firms like Biogen and Moderna. University research arms at MIT, Harvard, and Boston University also regularly sponsor research engineers through academic and industry-funded positions, particularly in AI, robotics, and computational biology.
Which visa types are most common for research engineer roles in Massachusetts?
The H-1B visa is the most common visa for research engineer roles in Massachusetts, given the specialty occupation requirement that aligns well with engineering and computer science degrees. Research-focused positions at universities and nonprofit research institutions may also qualify for cap-exempt H-1B filing. Candidates with exceptional publication records or awards sometimes pursue the O-1A, and some postdoctoral roles use the J-1 visa.
Which cities in Massachusetts have the most research engineer sponsorship jobs?
Cambridge and Boston account for the largest share of research engineer sponsorship activity, driven by university affiliates, AI labs, and biotech campuses concentrated around Kendall Square. The Route 128 corridor, including Burlington, Waltham, and Lexington, hosts defense contractors and semiconductor firms like MIT Lincoln Laboratory and Draper. Worcester and Lowell have smaller but growing research engineering presences tied to UMass campuses.
How to find research engineer visa sponsorship jobs in Massachusetts?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse research engineer roles in Massachusetts without sifting through positions that don't sponsor. You can narrow results by location and role type to surface openings at Boston-area universities, Kendall Square tech firms, and Route 128 defense and biotech employers that have active sponsorship track records.
Are there any state-specific considerations for research engineers seeking sponsorship in Massachusetts?
Massachusetts employers filing H-1B petitions must meet Department of Labor prevailing wage requirements, which are set at relatively high levels in the Boston metro given the concentration of skilled workers in the region. Many positions in Cambridge and Boston are tied to federal research grants, which can influence hiring timelines and headcount decisions. University and nonprofit employers often have cap-exempt H-1B status, giving candidates more filing flexibility outside the annual lottery window.
What is the prevailing wage for sponsored research engineer jobs in Massachusetts?
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.