Automation Visa Sponsorship Jobs in North Carolina
North Carolina's automation sector spans advanced manufacturing in Charlotte and the Research Triangle's tech corridors, with major employers like Honeywell, ABB, and Siemens operating facilities across the state. Companies here regularly sponsor H-1B visa and TN visas for automation engineers, controls specialists, and robotics professionals as the state's industrial base continues expanding.
Find Automation JobsOverview
Showing 5 of 147+ Automation Jobs in North Carolina with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 147+ Automation Jobs in North Carolina with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Automation Jobs in North Carolina with Visa Sponsorship.
Get Access To All JobsLocation: Boston, Indianapolis, RTP North Carolina & Chicago
Zifo is a global specialist scientific and process informatics services company supporting life sciences, biotech, and pharmaceutical organizations. We enable digital transformation across R&D, manufacturing, and quality by delivering data-driven, scalable, and compliant software solutions.
Zifo is seeking a passionate Software Developer who can work at the intersection of science, data, and technology. The role requires strong expertise in Benchling, Python, SQL/NoSQL, AWS and FastAPI, along with the ability to work directly with scientists performing assay-based experiments. The successful candidate will translate experimental workflows into robust data components, scientific system integrations, AI-enabled insights, and next-generation data pipelines.
Requirements
- Collaborate with scientists, assay teams, and lab operations to capture end-to-end assay and experimental workflows, from sample onboarding and execution through data ingestion, validation, and downstream analytics
- Translate scientific and operational requirements into well-defined functional, technical, and data requirements for laboratory platforms, system integrations, and next-generation data pipelines
- Design, develop, and maintain Python-based backend services, APIs, microservices, and data pipelines on AWS using FastAPI and supporting frameworks such as Flask or Django, including integrations with scientific systems such as Benchling, Signals, LIMS, ELN, CDS, and SDMS
- Design and optimize SQL and NoSQL data models and build ETL/ELT and next-generation data pipelines to support structured, semi-structured, and high-volume scientific data, analytics, and AI/ML workloads, including dataset preparation, feature engineering, and model integration into pipelines and applications
- Implement and maintain CI/CD pipelines for automated build, testing and deployment
- Ensure solutions meet performance, data integrity, security, and regulatory compliance requirements (e.g., GxP, 21 CFR Part 11)
- Perform code reviews, debugging, and performance optimization
- Coordinate across cross-functional and geographically distributed teams, managing dependencies and ensuring delivery alignment
- Create ready to deliver technical documentation and track deliverables using JIRA and Confluence
Required Qualifications
- Bachelor’s or master’s degree in computer science, Engineering, Life Sciences with 3–8 years of hands-on experience in Python development with FastAPI
- Proficiency in SQL, including schema design, complex queries, and performance optimization
- Relational databases such as PostgreSQL, MySQL, Oracle, AWS RDS/Aurora, NoSQL databases such as DynamoDB, MongoDB, or equivalent
- Experience with scientific data and laboratory informatics, including familiarity with Benchling or similar scientific data platforms ELN like Benchling, LIMS, ELN, SDMS, CDS, within the life sciences or pharmaceutical industry (Preferred)
- AWS experience, including S3, EC2, Lambda, Step Functions, RDS / Aurora, IAM, monitoring, and logging
- Proficiency with Git-based collaborative development, including branch management, pull requests, code reviews, and integration with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline) to ensure reliable and traceable software delivery
- Hands-on experience with Test-Driven Development and Python testing frameworks such as pytest, unittest, and mocking libraries
- Working knowledge of AI/ML concepts, including data preparation, feature engineering, model integration, and inference workflows
- Exposure to the data and ML libraries such as pandas, NumPy, and scikit-learn (exposure to TensorFlow or PyTorch is a plus)
- Ability to design data models aligned to scientific and assay workflows & integrating scientific or enterprise systems and working directly with scientists or lab users
- Knowledge of containerization (Docker) and modern deployment best practices
- Familiarity with Agile/Scrum & SDLC development methodologies & Solid understanding of REST APIs, microservices, and integration patterns
- Strong communication, stakeholder engagement, and cross-team coordination skills
Additional Preferences
- Willingness to travel/relocate based on project or business needs
- Ability to work in a fast-paced, client-focused environment
- Comfortable managing cross-team coordination and dependency management, particularly across globally distributed teams and user groups
Benefits
CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies.
We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability.
We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.
If you share these sentiments and are prepared for the atypical, then Zifo is your calling!
Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Location: Boston, Indianapolis, RTP North Carolina & Chicago
Zifo is a global specialist scientific and process informatics services company supporting life sciences, biotech, and pharmaceutical organizations. We enable digital transformation across R&D, manufacturing, and quality by delivering data-driven, scalable, and compliant software solutions.
Zifo is seeking a passionate Software Developer who can work at the intersection of science, data, and technology. The role requires strong expertise in Benchling, Python, SQL/NoSQL, AWS and FastAPI, along with the ability to work directly with scientists performing assay-based experiments. The successful candidate will translate experimental workflows into robust data components, scientific system integrations, AI-enabled insights, and next-generation data pipelines.
Requirements
- Collaborate with scientists, assay teams, and lab operations to capture end-to-end assay and experimental workflows, from sample onboarding and execution through data ingestion, validation, and downstream analytics
- Translate scientific and operational requirements into well-defined functional, technical, and data requirements for laboratory platforms, system integrations, and next-generation data pipelines
- Design, develop, and maintain Python-based backend services, APIs, microservices, and data pipelines on AWS using FastAPI and supporting frameworks such as Flask or Django, including integrations with scientific systems such as Benchling, Signals, LIMS, ELN, CDS, and SDMS
- Design and optimize SQL and NoSQL data models and build ETL/ELT and next-generation data pipelines to support structured, semi-structured, and high-volume scientific data, analytics, and AI/ML workloads, including dataset preparation, feature engineering, and model integration into pipelines and applications
- Implement and maintain CI/CD pipelines for automated build, testing and deployment
- Ensure solutions meet performance, data integrity, security, and regulatory compliance requirements (e.g., GxP, 21 CFR Part 11)
- Perform code reviews, debugging, and performance optimization
- Coordinate across cross-functional and geographically distributed teams, managing dependencies and ensuring delivery alignment
- Create ready to deliver technical documentation and track deliverables using JIRA and Confluence
Required Qualifications
- Bachelor’s or master’s degree in computer science, Engineering, Life Sciences with 3–8 years of hands-on experience in Python development with FastAPI
- Proficiency in SQL, including schema design, complex queries, and performance optimization
- Relational databases such as PostgreSQL, MySQL, Oracle, AWS RDS/Aurora, NoSQL databases such as DynamoDB, MongoDB, or equivalent
- Experience with scientific data and laboratory informatics, including familiarity with Benchling or similar scientific data platforms ELN like Benchling, LIMS, ELN, SDMS, CDS, within the life sciences or pharmaceutical industry (Preferred)
- AWS experience, including S3, EC2, Lambda, Step Functions, RDS / Aurora, IAM, monitoring, and logging
- Proficiency with Git-based collaborative development, including branch management, pull requests, code reviews, and integration with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline) to ensure reliable and traceable software delivery
- Hands-on experience with Test-Driven Development and Python testing frameworks such as pytest, unittest, and mocking libraries
- Working knowledge of AI/ML concepts, including data preparation, feature engineering, model integration, and inference workflows
- Exposure to the data and ML libraries such as pandas, NumPy, and scikit-learn (exposure to TensorFlow or PyTorch is a plus)
- Ability to design data models aligned to scientific and assay workflows & integrating scientific or enterprise systems and working directly with scientists or lab users
- Knowledge of containerization (Docker) and modern deployment best practices
- Familiarity with Agile/Scrum & SDLC development methodologies & Solid understanding of REST APIs, microservices, and integration patterns
- Strong communication, stakeholder engagement, and cross-team coordination skills
Additional Preferences
- Willingness to travel/relocate based on project or business needs
- Ability to work in a fast-paced, client-focused environment
- Comfortable managing cross-team coordination and dependency management, particularly across globally distributed teams and user groups
Benefits
CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies.
We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability.
We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.
If you share these sentiments and are prepared for the atypical, then Zifo is your calling!
Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Automation Job Roles in North Carolina
See all 147+ Automation Jobs in North Carolina
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Automation Jobs in North CarolinaAutomation Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for automation roles in North Carolina?
Honeywell, ABB, Siemens, and Rockwell Automation have operations in North Carolina and have filed H-1B Labor Condition Applications for automation-related positions. The Research Triangle Park area also draws sponsors from semiconductor and life sciences manufacturing, including companies like Wolfspeed and Novo Nordisk, which rely on automation engineers to support their production facilities.
Which visa types are most common for automation roles in North Carolina?
The H-1B is the most common visa for automation engineers in North Carolina, covering roles like controls engineer, robotics engineer, and automation systems architect when a relevant bachelor's degree is required. Canadian and Mexican nationals may qualify for the TN visa under the engineer category. Candidates with exceptional research backgrounds may also be considered for O-1 visa or EB-1 pathways.
Which cities in North Carolina have the most automation sponsorship jobs?
Raleigh and Durham, anchored by Research Triangle Park, concentrate the highest density of automation sponsorship activity, particularly in semiconductor, biotech, and advanced manufacturing sectors. Charlotte is a strong secondary market driven by energy, aerospace, and industrial automation. Greensboro and the Piedmont Triad also generate consistent demand, especially from logistics automation and textile manufacturing modernization projects.
How to find automation visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international job seekers and filters automation roles in North Carolina by visa sponsorship eligibility, saving significant search time. You can browse current openings from employers who have a documented history of sponsoring work visas for automation engineers, controls specialists, and robotics professionals across the state's key industrial and technology hubs.
Are there state-specific factors that affect automation sponsorship in North Carolina?
North Carolina's heavy investment in semiconductor manufacturing, particularly following new fab construction in the Research Triangle, has increased employer demand for automation talent and corresponding visa sponsorship activity. NC State University and UNC Charlotte produce strong engineering pipelines that employers actively recruit from, and some sponsors prefer candidates with OPT authorization already in place before transitioning to H-1B sponsorship.
What is the prevailing wage for sponsored automation 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.