Artificial Intelligence E-3 Sponsorship Jobs in North Carolina
North Carolina's artificial intelligence sector spans Research Triangle Park, Charlotte, and Durham, with employers like IBM, Red Hat, SAS Institute, and Cisco hiring AI specialists. Australian professionals in machine learning, data science, and AI engineering can find E-3 visa sponsorship opportunities across the state's established tech corridor and growing AI-focused startups.
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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. As a PhD graduate, your research expertise is invaluable to us. Explore a variety of projects, collaborate with various teams, and contribute to products that are changing the world, across many product areas, including AI & Infrastructure, Cloud, and more! Our Engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on critical projects, with many opportunities to learn and follow your interests. We expect our engineers to be creative and versatile, leading and identifying new problems to push the field and Google technology forward. Google is one of the world’s leading suppliers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using ML software and custom ML hardware infrastructure at massive scale.
ROLE AND RESPONSIBILITIES
- Participate in or lead team projects to carry out design, analysis, and development of advanced systems across the stack, particularly embedded systems.
- Develop code and review code developed by other developers, and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency).
- Write documents that set new technical directions. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Study, diagnose and resolve complex technical issues by analyzing the sources of the issues and the impact on software, hardware, network, or service operations and quality.
MINIMUM QUALIFICATIONS
- PhD degree in Computer Science, or a related field, or equivalent practical experience.
- Experience in embedded systems/firmware design.
- Experience coding in C or C++.
PREFERRED QUALIFICATIONS
- Knowledge of one or more of the following: Microcontrollers, SoC, device drivers, hardware, power management, ARM processors, performance optimization, file systems, bootloading, firmware, x86 assembly, system BIOS, or hardware/software integration.
- Knowledge of Unix/Linux environments and kernel development.
- Ability to start full-time role in 2026.
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.
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
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Mountain View, CA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; Seattle, WA, USA.
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.
Artificial Intelligence Job Roles in North Carolina
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Search Artificial Intelligence Jobs in North CarolinaArtificial Intelligence Jobs in North Carolina: Frequently Asked Questions
Which artificial intelligence companies sponsor E-3 visas in North Carolina?
North Carolina's Research Triangle Park hosts several AI-active employers with E-3 sponsorship history, including IBM, Red Hat, SAS Institute, Cisco, and Lenovo. Charlotte's growing fintech and data analytics sector adds employers like Bank of America and Lowe's Technology. Sponsorship patterns vary by team and hiring cycle, so verifying active LCA filings through OFLC disclosure data is the most reliable approach.
Which cities in North Carolina have the most artificial intelligence E-3 sponsorship jobs?
The Research Triangle area anchored by Raleigh, Durham, and Chapel Hill concentrates the highest volume of AI sponsorship activity, driven by proximity to NC State University, Duke, and UNC. Charlotte is the secondary hub, particularly for AI roles in financial services and enterprise technology. Smaller clusters exist in Cary and Research Triangle Park itself, where major tech campuses are based.
What types of artificial intelligence roles typically qualify for E-3 sponsorship?
Roles that consistently meet the E-3 specialty occupation standard in AI include machine learning engineer, data scientist, natural language processing researcher, computer vision engineer, and AI/ML platform engineer. Each requires at least a bachelor's degree in a directly related field such as computer science, statistics, or electrical engineering. Generalist titles like 'AI project manager' face higher scrutiny unless the position description ties closely to a technical degree requirement.
How do I find artificial intelligence E-3 sponsorship jobs in North Carolina?
Migrate Mate surfaces North Carolina AI roles filtered by verified E-3 LCA filing history, so you can see which employers have actively sponsored the visa type rather than guessing at willingness. Search by AI or machine learning job titles alongside the North Carolina filter to narrow results. Cross-referencing OFLC disclosure data through the OFLC Wage Search can further confirm a specific employer's recent sponsorship activity.
Are there any state-specific considerations for E-3 sponsorship in North Carolina's AI industry?
North Carolina does not impose state-level visa sponsorship requirements on employers, so the standard federal E-3 process applies. One practical factor is that Research Triangle Park employers often operate under large enterprise HR structures, which can mean longer internal approval timelines before an LCA is filed. AI startups in Durham and Raleigh may move faster but sometimes lack established immigration processes, making it worth confirming their prior E-3 experience during the offer stage.
What is the prevailing wage for E-3 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.