Artificial Intelligence H-1B1 Singapore Sponsorship Jobs in Massachusetts
H-1B1 Singapore visa sponsorship in artificial intelligence is active across Massachusetts, with employers in Greater Boston, Cambridge, and the Route 128 corridor filing Labor Condition Applications for machine learning engineers, AI researchers, and data scientists. Companies like HubSpot, Wayfair, and numerous biotech and defense-tech firms hire for AI roles that qualify under the H-1B1 Singapore specialty occupation requirements.
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Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in C++ or Go.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
- Experience developing accessible technologies.
- Proficiency in code and system health, diagnosis and resolution, and software test engineering.
COMPENSATION
- The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
BENEFITS
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Cambridge, MA, USA; San Francisco, CA, USA.
ABOUT THE JOB
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in C++ or Go.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
- Experience developing accessible technologies.
- Proficiency in code and system health, diagnosis and resolution, and software test engineering.
COMPENSATION
- The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
BENEFITS
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Cambridge, MA, USA; San Francisco, CA, USA.
H-1B1 Singapore Artificial Intelligence Job Roles in Massachusetts
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Search Artificial Intelligence Jobs in MassachusettsArtificial Intelligence H-1B1 Singapore Sponsorship Jobs in Massachusetts: Frequently Asked Questions
Which artificial intelligence companies sponsor H-1B1 Singapore visas in Massachusetts?
Massachusetts AI employers with H-1B1 Singapore LCA filing history include technology companies concentrated in Cambridge and Boston, biotech firms in the Kendall Square corridor, and defense-adjacent AI contractors along Route 128. Larger employers such as HubSpot, Wayfair, and academic medical centers affiliated with Harvard and MIT have each sponsored specialty occupation roles in AI-related categories. Reviewing OFLC public disclosure data shows which specific employers have filed LCAs for Singapore nationals.
Which cities in Massachusetts have the most artificial intelligence H-1B1 Singapore sponsorship jobs?
Cambridge and Boston account for the largest share of AI sponsorship activity in Massachusetts, driven by Kendall Square's dense concentration of AI startups, biotech companies, and university-affiliated research labs. The Route 128 corridor, covering Waltham, Burlington, and Lexington, hosts established technology and defense-tech employers that regularly hire for machine learning and AI infrastructure roles. Worcester has a smaller but growing AI employer base tied to the local university research ecosystem.
What types of artificial intelligence roles typically qualify for H-1B1 Singapore sponsorship?
Roles that consistently meet the H-1B1 Singapore specialty occupation standard in AI include machine learning engineer, AI research scientist, natural language processing engineer, computer vision engineer, and AI platform engineer. Each requires a bachelor's degree or higher in computer science, electrical engineering, mathematics, or a directly related field. Generalist software engineering roles with an AI component may qualify, but the job duties and degree requirement nexus must be clearly documented by the sponsoring employer.
How do I find artificial intelligence H-1B1 Singapore sponsorship jobs in Massachusetts?
Migrate Mate filters job listings specifically for H-1B1 Singapore visa sponsorship, letting you search AI roles in Massachusetts without sorting through employers who don't support this visa category. You can narrow results by city, job function, and employer LCA filing history so you're only seeing companies that have actively sponsored Singapore nationals for specialty occupation positions. This is more targeted than a general job search and saves time when your visa type is specific.
Are there state-specific or industry-specific considerations for H-1B1 Singapore sponsorship in Massachusetts AI roles?
Massachusetts has no state-level work authorization layer beyond federal requirements, so H-1B1 Singapore sponsorship follows standard DOL and USCIS procedures. However, AI roles in Massachusetts often intersect with defense or government contracting work that may carry security clearance requirements, which are separate from and can complicate visa sponsorship eligibility. Biotech-adjacent AI positions may also involve export control considerations. Employers in these sectors sometimes limit sponsorship to roles without clearance or export restrictions, so confirming this early in the hiring process matters.
What is the prevailing wage for H-1B1 Singapore artificial intelligence 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.