Artificial Intelligence Visa Sponsorship Jobs in North Carolina
North Carolina's artificial intelligence sector is anchored by Research Triangle Park, home to AI labs at IBM, SAS, and Cisco, plus university partnerships with Duke, NC State, and UNC Chapel Hill. Major AI employers include Credit Suisse's technology division in Cary, MetLife's innovation center, and growing fintech companies in Charlotte leveraging machine learning for financial services.
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INTRODUCTION
The application window will be open until at least March 13, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Raleigh, NC, USA; Durham, NC, USA.
Remote location(s): Colorado, USA.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Java and C++.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience designing, developing, and optimizing relational database schemas and data models.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- Experience writing detailed design documents and leading design reviews.
- Experience programming in Kotlin.
- Familiarity with technologies similar to Google's infrastructure (e.g., microservices frameworks like Pod, Spanner, Pub/Sub systems like Goops).
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. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
The US base salary range for this full-time position is $174,000-$255,000 + 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.
Responsibilities
- Lead the design, development, testing, deployment, and maintenance of significant features and services within the Async Media Platform, taking full ownership of project outcomes and driving them from conception to landing, often with multi-quarter scope.
- Own and drive the design of complex system components and features, often with ambiguous requirements, while proactively researching solutions and making technical trade-off decisions.
- Identify, scope, and solve complex technical problems, ambiguities, and risks across the entire system, anticipating and designing solutions to prevent future issues.
- Drive improvements in the reliability, scalability, performance, and engineering excellence of asynchronous media processing systems, including the design of robust monitoring and diagnostic strategies.
- Mentor engineers on the team by providing technical guidance, code review feedback, and design input, while also helping set the technical direction and priorities for the team's work.
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.

INTRODUCTION
The application window will be open until at least March 13, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Raleigh, NC, USA; Durham, NC, USA.
Remote location(s): Colorado, USA.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Java and C++.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience designing, developing, and optimizing relational database schemas and data models.
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- Experience writing detailed design documents and leading design reviews.
- Experience programming in Kotlin.
- Familiarity with technologies similar to Google's infrastructure (e.g., microservices frameworks like Pod, Spanner, Pub/Sub systems like Goops).
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. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
The US base salary range for this full-time position is $174,000-$255,000 + 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.
Responsibilities
- Lead the design, development, testing, deployment, and maintenance of significant features and services within the Async Media Platform, taking full ownership of project outcomes and driving them from conception to landing, often with multi-quarter scope.
- Own and drive the design of complex system components and features, often with ambiguous requirements, while proactively researching solutions and making technical trade-off decisions.
- Identify, scope, and solve complex technical problems, ambiguities, and risks across the entire system, anticipating and designing solutions to prevent future issues.
- Drive improvements in the reliability, scalability, performance, and engineering excellence of asynchronous media processing systems, including the design of robust monitoring and diagnostic strategies.
- Mentor engineers on the team by providing technical guidance, code review feedback, and design input, while also helping set the technical direction and priorities for the team's work.
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.
Job Roles in Artificial Intelligence in North Carolina
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Get Access To All JobsFrequently Asked Questions
Which artificial intelligence companies sponsor visas in North Carolina?
Major AI employers in North Carolina that historically sponsor work visas include IBM (Research Triangle Park), SAS Institute (Cary), Cisco Systems, Credit Suisse's technology operations, and MetLife's innovation labs. Research Triangle Park hosts numerous AI startups and established tech companies, while Charlotte's financial district includes banks and fintech companies building AI-powered trading and risk management systems.
Which visa types are most common for artificial intelligence roles in North Carolina?
H-1B visas dominate for AI engineers, data scientists, and machine learning specialists in North Carolina, particularly for roles requiring specialized computer science or mathematics degrees. O-1 visas are occasionally used for senior AI researchers with published papers or patents. L-1 visas apply when international companies transfer AI talent to their North Carolina offices, common in Research Triangle Park's multinational tech presence.
How to find artificial intelligence visa sponsorship jobs in North Carolina?
Migrate Mate specializes in connecting international professionals with visa-sponsoring AI employers in North Carolina. Focus your search on Research Triangle Park companies, Charlotte's growing fintech sector, and university-affiliated research labs. Many AI positions in North Carolina require advanced degrees in computer science, mathematics, or related technical fields, with companies actively seeking international talent to fill specialized roles.
Which cities in North Carolina have the most artificial intelligence sponsorship jobs?
Research Triangle Park leads North Carolina's AI job market, hosting IBM Watson teams, SAS analytics divisions, and numerous AI startups. Cary offers opportunities at SAS Institute and other enterprise software companies. Charlotte's banking sector increasingly hires AI professionals for algorithmic trading and fraud detection. Durham benefits from Duke University's AI research partnerships with local companies seeking PhD-level talent.
What makes North Carolina's artificial intelligence job market unique for visa sponsorship?
North Carolina combines established tech giants in Research Triangle Park with emerging AI startups, creating diverse sponsorship opportunities. The state's three major research universities (Duke, NC State, UNC) produce local talent but also attract international students who transition to work visas. North Carolina's lower cost of living compared to Silicon Valley makes it attractive for companies willing to sponsor international AI professionals.
What is the prevailing wage for sponsored artificial intelligence jobs in North Carolina?
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.
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