ML Software Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's ML software engineer hiring is concentrated in Research Triangle Park, where companies like Red Hat, Lenovo, and SAS Institute operate major engineering centers, alongside Charlotte's growing fintech sector. The state's proximity to Duke, UNC, and NC State feeds a strong talent pipeline, and employers across these hubs actively sponsor H-1B visa and other work visas for qualified ML engineers.
Find ML Software Engineer JobsOverview
Showing 5 of 511+ ML Software Engineer Jobs in North Carolina with Visa Sponsorship
See all 511+ ML Software Engineer Jobs in North Carolina with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer Jobs in North Carolina with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
EXPERIENCE REQUIRED
6+ years
JOB SUMMARY
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
INTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
EXPERIENCE REQUIRED
6+ years
JOB SUMMARY
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
ML Software Engineer Job Roles in North Carolina
See all 511+ ML Software Engineer Jobs in North Carolina
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search ML Software Engineer Jobs in North CarolinaML Software Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in North Carolina?
Several major employers in North Carolina have consistent H-1B sponsorship histories for ML software engineer roles. In Research Triangle Park, companies like SAS Institute, Red Hat, Lenovo, and Cisco sponsor regularly. Charlotte-based financial institutions including Bank of America and Wells Fargo also sponsor ML engineering talent. Bioscience and healthtech firms in the RTP corridor, such as Novo Nordisk and Labcorp, are additional active sponsors.
Which visa types are most common for ML software engineer roles in North Carolina?
The H-1B is by far the most common visa for ML software engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. L-1B visas appear in intracompany transfers at large multinationals like Lenovo and Cisco. Some candidates on F-1 OPT also transition to employer-sponsored H-1B status after initial hire.
Which cities in North Carolina have the most ML software engineer sponsorship jobs?
Research Triangle Park and the surrounding Raleigh-Durham metro account for the largest concentration of ML software engineer sponsorship jobs in North Carolina, driven by a dense cluster of tech, life sciences, and enterprise software companies. Charlotte is the second major hub, particularly in fintech and data-driven financial services. Smaller pockets of ML engineering activity exist in Greensboro and Chapel Hill near university campuses.
How to find ml software engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for this search. You can filter by role and state to surface ML software engineer positions in North Carolina where employers have demonstrated sponsorship willingness. Because sponsorship is not always advertised explicitly in job postings, using a platform focused on visa sponsorship jobs, like Migrate Mate, helps you avoid wasting time on applications from employers unlikely to sponsor.
Are there any state-specific considerations for ML software engineers pursuing visa sponsorship in North Carolina?
North Carolina's Research Triangle benefits from one of the country's strongest university-to-industry pipelines, with NC State, Duke, and UNC producing large cohorts of ML and AI graduates annually. This creates competitive hiring conditions, but also means many employers in the region are experienced with sponsoring international candidates. Employers filing H-1B petitions must pay the Department of Labor's prevailing wage for the specific role and location, which is determined by occupation and geographic area rather than a uniform statewide rate.
What is the prevailing wage for sponsored ml software engineer 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.