Medical Devices Green Card Sponsorship Jobs in Georgia
Georgia's medical devices sector spans the Atlanta metro, Macon, and Savannah, with employers like Medline, Philips, and Cardinal Health maintaining significant operations in the state. Companies here regularly sponsor Green Card petitions for engineers, regulatory specialists, and quality professionals, making Georgia a practical destination for international candidates pursuing permanent residence in this industry.
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Get Access To All JobsINTRODUCTION
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
ROLE
We are looking for a talented individual to join our growing machine learning and data science team to help provide creative ways to develop new technology focused on surgical workflow and performance for next generation robotic surgery platforms.
As a Machine Learning Engineer, you will work at the intersection of machine learning and engineering (i.e., MLOps) to contribute to innovative digital solutions leveraging Surgical AI/ML technologies. Immediate projects and responsibilities may include:
- Integrating machine learning into digital products and services by working cross-functionally across engineering, data science, and machine learning teams
- Developing automated workflows and tools to curate datasets and facilitate training of deep learning models
- Working closely with Machine Learning and Data/Software Engineering teams to develop efficient processes for model development/deployment for various applications
- Help support and manage a growing cloud infrastructure for MLOps
BASIC QUALIFICATIONS
What you’ll need to be successful:
- M.S. or Ph.D. in computer science, electrical and computer engineering, or related fields
- Minimum 3 years of industry experience developing productionized code in machine learning, data engineering, or related field for AI applications
- Excellent communication skills both written and verbal
- A desire to work in a high-energy, focused, small-team environment with a sense of shared responsibility and shared reward
- Interest in early research and development through to product roll-out in the fields of surgical AI and surgical robotics
- Hands-on experience with ML frameworks, such as PyTorch, Tensorflow, or similar
- Knowledgeable about MLOps platforms (Domino Data Labs) and/or ML CI/CD workflows to manage datasets and model training, deployment, and monitoring
- Experience with MLOps tools like MLFlow, KubeFlow, W&B, etc
- Knowledgeable about Kubernetes
- Experience with cloud compute environments such as AWS, GCP, etc
- Experience with both edge and cloud deployments, focused on automation, scalability, and robustness
- Experience with Python and SQL
- Experience with Git e.g github, gitlab, bitbucket, etc
- Ability to travel domestically and internationally (5-10%)
PREFERRED QUALIFICATIONS
Additional desirable experience:
- Experience with successfully launching ML models into production
- Experience supporting large multi-modality dataset including image/video
- Experience within healthcare
- Experience with federated learning
ADDITIONAL INFORMATION
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Base Compensation Range Region 1: $164,000 USD - $236,000 USD
Base Compensation Range Region 2: $139,400 USD - $200,600 USD
Shift: Day
Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
LOCATION
Peachtree Corners, GA, United States
Not Remote
Engineering
JOB210549
INTRODUCTION
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
ROLE
We are looking for a talented individual to join our growing machine learning and data science team to help provide creative ways to develop new technology focused on surgical workflow and performance for next generation robotic surgery platforms.
As a Machine Learning Engineer, you will work at the intersection of machine learning and engineering (i.e., MLOps) to contribute to innovative digital solutions leveraging Surgical AI/ML technologies. Immediate projects and responsibilities may include:
- Integrating machine learning into digital products and services by working cross-functionally across engineering, data science, and machine learning teams
- Developing automated workflows and tools to curate datasets and facilitate training of deep learning models
- Working closely with Machine Learning and Data/Software Engineering teams to develop efficient processes for model development/deployment for various applications
- Help support and manage a growing cloud infrastructure for MLOps
BASIC QUALIFICATIONS
What you’ll need to be successful:
- M.S. or Ph.D. in computer science, electrical and computer engineering, or related fields
- Minimum 3 years of industry experience developing productionized code in machine learning, data engineering, or related field for AI applications
- Excellent communication skills both written and verbal
- A desire to work in a high-energy, focused, small-team environment with a sense of shared responsibility and shared reward
- Interest in early research and development through to product roll-out in the fields of surgical AI and surgical robotics
- Hands-on experience with ML frameworks, such as PyTorch, Tensorflow, or similar
- Knowledgeable about MLOps platforms (Domino Data Labs) and/or ML CI/CD workflows to manage datasets and model training, deployment, and monitoring
- Experience with MLOps tools like MLFlow, KubeFlow, W&B, etc
- Knowledgeable about Kubernetes
- Experience with cloud compute environments such as AWS, GCP, etc
- Experience with both edge and cloud deployments, focused on automation, scalability, and robustness
- Experience with Python and SQL
- Experience with Git e.g github, gitlab, bitbucket, etc
- Ability to travel domestically and internationally (5-10%)
PREFERRED QUALIFICATIONS
Additional desirable experience:
- Experience with successfully launching ML models into production
- Experience supporting large multi-modality dataset including image/video
- Experience within healthcare
- Experience with federated learning
ADDITIONAL INFORMATION
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.
Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).
For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
Base Compensation Range Region 1: $164,000 USD - $236,000 USD
Base Compensation Range Region 2: $139,400 USD - $200,600 USD
Shift: Day
Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
LOCATION
Peachtree Corners, GA, United States
Not Remote
Engineering
JOB210549
Green Card Medical Devices Job Roles in Georgia
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Search Medical Devices Jobs in GeorgiaMedical Devices Green Card Sponsorship Jobs in Georgia: Frequently Asked Questions
Which medical devices companies sponsor Green Card visas in Georgia?
Several large medical devices employers with Georgia operations have filed Green Card petitions through PERM labor certification, including Medline Industries, Cardinal Health, Philips Healthcare, and Stryker. Contract manufacturers and mid-sized device firms clustered around the Atlanta metro also sponsor permanent residence for specialized roles. Sponsorship patterns vary by company size, role criticality, and whether the position requires skills that are difficult to source domestically.
Which cities in Georgia have the most medical devices Green Card sponsorship jobs?
Atlanta and its northern suburbs, including Alpharetta and Duluth, account for the largest share of medical devices Green Card sponsorship activity in Georgia, driven by regional headquarters and distribution operations. Macon has a smaller but active medical manufacturing base, and Savannah is growing as a logistics and manufacturing hub for healthcare supply chains. Most Green Card-sponsoring roles in this industry are concentrated in the greater Atlanta metro.
What types of medical devices roles typically qualify for Green Card sponsorship in Georgia?
Roles that typically qualify for employer-sponsored Green Cards in Georgia's medical devices sector include quality engineers, regulatory affairs specialists, R&D engineers, manufacturing engineers, and software engineers working on device platforms. These positions generally require a bachelor's degree or higher in a relevant technical field, meeting PERM labor certification requirements. Roles in clinical affairs and biomedical engineering also appear regularly in Green Card filings within this industry.
How do I find medical devices Green Card sponsorship jobs in Georgia?
Migrate Mate is built specifically for international candidates and lets you filter medical devices jobs in Georgia by Green Card sponsorship, so you're only seeing roles where employers have indicated willingness to sponsor permanent residence. This saves significant time compared to searching general job boards and filtering manually. Migrate Mate aggregates active sponsorship-eligible postings, making it a practical starting point for your Georgia medical devices job search.
Are there state-specific considerations for Green Card sponsorship in Georgia's medical devices industry?
Georgia does not impose state-level immigration requirements beyond federal PERM and USCIS processes, but the state's right-to-work status means employment relationships can change quickly, which matters because Green Card sponsorship is tied to continued employment with the sponsoring employer. Georgia's medical devices employers also tend to work with immigration counsel familiar with FDA-regulated manufacturing environments, where job duties must be documented precisely for PERM labor certification purposes.
What is the prevailing wage for Green Card medical devices jobs in Georgia?
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.