Software Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's software engineering market spans Charlotte's financial technology sector, the Research Triangle's concentration of tech and life sciences companies, and a growing presence from employers like Red Hat, Fidelity Investments, and Cisco. The state's strong university pipeline from NC State and Duke supports consistent demand for software engineers, including candidates who need visa sponsorship.
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Thank you for dedicating your time and talent to Lowe’s. We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply!
Your Impact
The primary goal is to generate AI/ML forecasts that help the business plan for future demand, optimize resources, reduce risk, and make data-driven decisions. Lowe's forecasting platform team is responsible for predicting future trends, outcomes, or events based on current and historical data.
Work with a Winning Team
As part of a Fortune 50 company and retail leader, your work can change an entire industry. Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you’ll have access to the data, tools, and support that few other companies can offer. We also know what it takes to create an inclusive culture that supports you.
Our teams are structured around the engineer, giving you the support you need to do your best work. Since we’ve been in business for over 100 years, we’ve built an excellent track record of growth and success. There’s peace of mind knowing you have the stability and resources you need to focus on solving tough challenges. And as you solve these challenges, know you’ll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work.
What You Will Do
- Build and maintain scalable data ingestion, transformation, feature engineering, and post-processing pipelines to support model training, inference, analytics, and reporting.
- Collaborate with Data Scientists, Product, and Business teams to translate business requirements into scalable AI/ML solutions and production-ready data pipelines.
- Design, develop, deploy, and maintain end-to-end ML systems, including model packaging, registration, versioning, deployment, and serving using platforms such as MLflow, Vertex AI, Kubeflow, or similar MLOps tools.
- Build and optimize batch and real-time inference pipelines for performance, scalability, reliability, and cost efficiency across cloud and on-premises environments.
- Implement and maintain CI/CD pipelines and workflow orchestration for AI/ML models and data pipelines using DevOps and MLOps best practices.
- Design and implement monitoring frameworks to track model performance, data quality, data drift, model drift, and production system health.
- Build reusable libraries, utilities, and platform components that improve engineering productivity and standardize ML development across teams.
- Develop production-quality software components following software engineering best practices, ensuring solutions are scalable, testable, maintainable, and efficient.
- Perform root cause analysis, troubleshoot production issues, and participate in code reviews to improve code quality, reliability, and operational excellence.
- Ensure AI/ML solutions comply with security, governance, privacy, and organizational standards throughout the development lifecycle.
- Champion engineering best practices to continuously improve the reliability, scalability, maintainability, and operational efficiency of AI/ML platforms and pipelines.
- Design and implement advanced ML infrastructure patterns, including feature stores, model registries, and automated model lifecycle workflows to enable faster and more reliable AI/ML delivery.
- Partner with engineering and architecture teams to evaluate emerging AI/ML technologies, optimize system architectures, and drive continuous improvements in scalability, performance, and operational maturity.
Skill Set requirements:
Apache Airflow, Cloud Composer, GCP cloud experience, Big Query, Trino/Presto. Experience working on Data Quality/Integrity theme, Tools like Great Expectations. Domain experience on retail forecasting or any other business forecast predictions/time series forecasting.
Minimum Qualifications
- Bachelor’s degree in computer science, computer information systems (CIS), or related field or equivalent years of experience in lieu of education requirement, if applicable
- 5 years of experience in software development or a related field
- 4 years of experience in any of following competencies: frontend technologies (user interface/user experience), middleware (microservices and application programming interfaces), database technologies, or DevOps
- 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) through iterative agile development
Preferred Skills/Education
- Master’s degree in computer science, CIS, or related field
- 5+ years of experience developing software, data platforms, or AI/ML applications, including significant experience building and deploying production ML systems.
- Experience leading technical design, implementation, and delivery of ML engineering projects
- Experience designing, deploying, and operating production-scale ML systems, including live/batch inference, model versioning, monitoring, and lifecycle management.
- Strong understanding of ML platform engineering, automation, and optimizing ML infrastructure for scalability, reliability, latency, and cost efficiency.
- Ability to evaluate infrastructure tradeoffs and recommend effective solutions for ML deployment and operational workflows
- MLOps tools such as MLflow, Kubeflow, or Vertex AI.
- Foundational understanding of ML models.
- Strong understanding of cloud platforms (GCP, AWS, or Azure).
- Experience managing model registry and implementing versioning best practices.
- Model serving frameworks, SQL, Python, PySpark, Big Data technologies (Hadoop ecosystem or cloud-native equivalents), Analytics databases (Druid), visualization tools (Superset), CI/CD and Git.
Benefits
- 401k with up to 4.25% match
- Discounted Employee Stock Purchase Plan (15% discount of strike price)
- Tuition-Free Education
- 10-week Maternity/Parental Leave
- 10% Associate Discount
For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits
About Lowe’s
Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal 2025 sales of more than $86 billion. Lowe’s employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
Pay Range: $95,100.00 - $180,700.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.
Innovate in Charlotte
Thank you for dedicating your time and talent to Lowe’s. We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply!
Your Impact
The primary goal is to generate AI/ML forecasts that help the business plan for future demand, optimize resources, reduce risk, and make data-driven decisions. Lowe's forecasting platform team is responsible for predicting future trends, outcomes, or events based on current and historical data.
Work with a Winning Team
As part of a Fortune 50 company and retail leader, your work can change an entire industry. Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you’ll have access to the data, tools, and support that few other companies can offer. We also know what it takes to create an inclusive culture that supports you.
Our teams are structured around the engineer, giving you the support you need to do your best work. Since we’ve been in business for over 100 years, we’ve built an excellent track record of growth and success. There’s peace of mind knowing you have the stability and resources you need to focus on solving tough challenges. And as you solve these challenges, know you’ll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work.
What You Will Do
- Build and maintain scalable data ingestion, transformation, feature engineering, and post-processing pipelines to support model training, inference, analytics, and reporting.
- Collaborate with Data Scientists, Product, and Business teams to translate business requirements into scalable AI/ML solutions and production-ready data pipelines.
- Design, develop, deploy, and maintain end-to-end ML systems, including model packaging, registration, versioning, deployment, and serving using platforms such as MLflow, Vertex AI, Kubeflow, or similar MLOps tools.
- Build and optimize batch and real-time inference pipelines for performance, scalability, reliability, and cost efficiency across cloud and on-premises environments.
- Implement and maintain CI/CD pipelines and workflow orchestration for AI/ML models and data pipelines using DevOps and MLOps best practices.
- Design and implement monitoring frameworks to track model performance, data quality, data drift, model drift, and production system health.
- Build reusable libraries, utilities, and platform components that improve engineering productivity and standardize ML development across teams.
- Develop production-quality software components following software engineering best practices, ensuring solutions are scalable, testable, maintainable, and efficient.
- Perform root cause analysis, troubleshoot production issues, and participate in code reviews to improve code quality, reliability, and operational excellence.
- Ensure AI/ML solutions comply with security, governance, privacy, and organizational standards throughout the development lifecycle.
- Champion engineering best practices to continuously improve the reliability, scalability, maintainability, and operational efficiency of AI/ML platforms and pipelines.
- Design and implement advanced ML infrastructure patterns, including feature stores, model registries, and automated model lifecycle workflows to enable faster and more reliable AI/ML delivery.
- Partner with engineering and architecture teams to evaluate emerging AI/ML technologies, optimize system architectures, and drive continuous improvements in scalability, performance, and operational maturity.
Skill Set requirements:
Apache Airflow, Cloud Composer, GCP cloud experience, Big Query, Trino/Presto. Experience working on Data Quality/Integrity theme, Tools like Great Expectations. Domain experience on retail forecasting or any other business forecast predictions/time series forecasting.
Minimum Qualifications
- Bachelor’s degree in computer science, computer information systems (CIS), or related field or equivalent years of experience in lieu of education requirement, if applicable
- 5 years of experience in software development or a related field
- 4 years of experience in any of following competencies: frontend technologies (user interface/user experience), middleware (microservices and application programming interfaces), database technologies, or DevOps
- 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) through iterative agile development
Preferred Skills/Education
- Master’s degree in computer science, CIS, or related field
- 5+ years of experience developing software, data platforms, or AI/ML applications, including significant experience building and deploying production ML systems.
- Experience leading technical design, implementation, and delivery of ML engineering projects
- Experience designing, deploying, and operating production-scale ML systems, including live/batch inference, model versioning, monitoring, and lifecycle management.
- Strong understanding of ML platform engineering, automation, and optimizing ML infrastructure for scalability, reliability, latency, and cost efficiency.
- Ability to evaluate infrastructure tradeoffs and recommend effective solutions for ML deployment and operational workflows
- MLOps tools such as MLflow, Kubeflow, or Vertex AI.
- Foundational understanding of ML models.
- Strong understanding of cloud platforms (GCP, AWS, or Azure).
- Experience managing model registry and implementing versioning best practices.
- Model serving frameworks, SQL, Python, PySpark, Big Data technologies (Hadoop ecosystem or cloud-native equivalents), Analytics databases (Druid), visualization tools (Superset), CI/CD and Git.
Benefits
- 401k with up to 4.25% match
- Discounted Employee Stock Purchase Plan (15% discount of strike price)
- Tuition-Free Education
- 10-week Maternity/Parental Leave
- 10% Associate Discount
For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits
About Lowe’s
Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 100 home improvement company with total fiscal 2025 sales of more than $86 billion. Lowe’s employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
Pay Range: $95,100.00 - $180,700.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.
Software Engineer Job Roles in North Carolina
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Search Software Engineer Jobs in North CarolinaSoftware Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for software engineers in North Carolina?
Several large employers in North Carolina have consistent histories of sponsoring H-1B visas for software engineers. Red Hat and IBM in the Research Triangle, Fidelity Investments and Bank of America in Charlotte, and Cisco's North Carolina offices are among the more active sponsors. Larger employers with dedicated HR and legal teams tend to have more established sponsorship processes than smaller startups.
Which visa types are most common for software engineer roles in North Carolina?
The H-1B is the most common visa category for software engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree in computer science, software engineering, or a related field. Candidates already on F-1 OPT or STEM OPT extension are also frequently hired, with employers filing H-1B cap-season petitions to maintain their status beyond the OPT period.
Which cities in North Carolina have the most software engineer sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, and Chapel Hill, is North Carolina's most concentrated market for software engineering sponsorship jobs, driven by the presence of tech companies, federal contractors, and life sciences firms. Charlotte is the second-largest market, particularly for software engineers working in financial services, fintech, and enterprise software. Smaller pockets of hiring also exist around Cary and the broader Triangle suburbs.
How to find software engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international candidates and filters software engineer jobs in North Carolina by visa sponsorship availability, so you're not sorting through listings that don't apply to your situation. Roles are sourced from employers with documented sponsorship histories. Searching by the North Carolina filter on Migrate Mate surfaces positions in the Research Triangle, Charlotte, and surrounding areas where sponsorship is an active part of the hiring process.
Are there any North Carolina-specific factors software engineers should know about visa sponsorship?
North Carolina's Research Triangle is home to several universities and research institutions that create a strong local pipeline of F-1 students, meaning many employers in the area are already familiar with OPT-to-H-1B transitions. The state has no additional licensing requirements that affect software engineering visa petitions at the state level, so the federal H-1B process applies uniformly. Employers tied to federal contracts may have additional background check or citizenship requirements for certain roles.
What is the prevailing wage for sponsored 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.