Green Card AI Researcher Jobs
AI Researcher roles qualify for EB-2 sponsorship when the position requires a master's or doctoral degree in machine learning, computer science, or a related field. Employers file a PERM labor certification with DOL before petitioning USCIS, making sponsorship a multi-step process that typically takes two to four years for most nationalities.
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Get Access To All JobsINTRODUCTION
Lawrence Berkeley National Laboratory is hiring an AI Research Software Engineer. This position is within the Advanced Light Source (ALS) Accelerator Physics Group (APG), part of the Accelerator Technology & Applied Physics (ATAP) Division. The APG is responsible for ensuring the operation, performance, and continuous improvement of the ALS accelerator complex.
The role advances artificial intelligence and machine learning for accelerator operations, spanning both applied research and the software that puts it into practice. The objective is to develop AI/ML methods, and the software that supports them, that make the ALS accelerator accessible to modern AI systems — enabling real-time machine optimization, AI-assisted operations, and intelligent automation of accelerator tuning and diagnostics. The work combines investigation of new approaches with their deployment in an operational environment.
The person in this position will connect accelerator control systems with modern AI/ML capabilities, supporting both existing optimization tools and next-generation autonomous agent systems for accelerator operations. The role is especially timely with the upcoming ALS Upgrade (ALS-U) commissioning, which offers the opportunity to establish these methods and tools correctly from the start.
YOU WILL:
- Conduct applied research in artificial intelligence and machine learning methods for accelerator optimization, diagnostics, and operations.
- Develop and deploy machine learning models and autonomous AI agent systems for accelerator optimization, diagnostics, and operations.
- Design and develop the software and interfaces that connect accelerator control systems with AI/ML applications.
- Contribute to the group’s software and computing environment, including control-system integration and operational tools.
- Collaborate with accelerator physicists, controls engineers, and operations staff to identify opportunities for automation and to translate physics requirements into working solutions.
- Disseminate results through publications in peer-reviewed journals and presentations at relevant conferences and workshops.
- Apply sound development practices to produce reliable, well-documented, and maintainable software.
- Support the operation of the ALS accelerator systems, including availability during off-hours as needed.
- Participate in the commissioning activities of the ALS Upgrade as they relate to AI/ML systems.
- Comply with LBNL/ALS Environment, Safety, and Health (EH&S) practices and requirements.
BASIC QUALIFICATIONS
- Master’s degree in computer science, physics, engineering, or a related field with at least 3 years of related experience; or a Bachelor’s degree with at least 5 years; or an equivalent combination of education and experience. A Ph.D. in a relevant field is preferred and counts toward the experience requirement.
- Demonstrated experience developing and deploying software systems in a scientific or engineering environment.
- Strong programming skills, including proficiency in Python and familiarity with modern development practices (version control, testing, documentation).
- Working knowledge of machine learning methods and their application to scientific or engineering problems.
- Demonstrated ability to design and build complex software systems.
- Ability to work effectively in a multidisciplinary team alongside physicists, engineers, and operations staff.
- Good command of written and oral English and communication skills.
- Ability to foster constructive, respectful, and cooperative workplace relationships.
PREFERRED QUALIFICATIONS
- Experience working at an accelerator facility or similar large-scale scientific instrumentation environment.
- Experience with accelerator control systems (e.g., EPICS) and real-time data acquisition.
- Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and scientific computing libraries (e.g., NumPy, pandas).
- Familiarity with accelerator control system frameworks (e.g., EPICS, Bluesky, ophyd) and real-time data systems.
- Experience with LLM-based agent architectures, tool-use patterns, and autonomous AI systems.
- Experience with containerization (Docker), CI/CD pipelines, and production deployment practices.
- Experience with distributed systems, API design, and real-time data streaming.
ADDITIONAL INFORMATION
- Application date: Priority consideration will be given to candidates who apply by July 2, 2026. Applications will be accepted until the job posting is removed.
- Appointment type: This is a full-time career appointment, non-exempt (hourly paid), eligible for overtime pay.
- Salary range: The full salary range for this position is $9,761/month to $16,473/month and is expected to pay between the targeted range of $9,761 to $13,422/month. Salary for this position will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position.
- Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
- Work modality: This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.
Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!
Why join Berkeley Lab?
We invest in our employees by offering a total rewards package you can count on:
- Exceptional health and retirement benefits, including pension or 401K-style plans
- Opportunities to grow in your career - check out our Tuition Assistance Program
- A culture where you’ll belong - we are invested in our teams!
- In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
- Parental bonding leave (for both mothers and fathers)
- Pet insurance
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
INTRODUCTION
Lawrence Berkeley National Laboratory is hiring an AI Research Software Engineer. This position is within the Advanced Light Source (ALS) Accelerator Physics Group (APG), part of the Accelerator Technology & Applied Physics (ATAP) Division. The APG is responsible for ensuring the operation, performance, and continuous improvement of the ALS accelerator complex.
The role advances artificial intelligence and machine learning for accelerator operations, spanning both applied research and the software that puts it into practice. The objective is to develop AI/ML methods, and the software that supports them, that make the ALS accelerator accessible to modern AI systems — enabling real-time machine optimization, AI-assisted operations, and intelligent automation of accelerator tuning and diagnostics. The work combines investigation of new approaches with their deployment in an operational environment.
The person in this position will connect accelerator control systems with modern AI/ML capabilities, supporting both existing optimization tools and next-generation autonomous agent systems for accelerator operations. The role is especially timely with the upcoming ALS Upgrade (ALS-U) commissioning, which offers the opportunity to establish these methods and tools correctly from the start.
YOU WILL:
- Conduct applied research in artificial intelligence and machine learning methods for accelerator optimization, diagnostics, and operations.
- Develop and deploy machine learning models and autonomous AI agent systems for accelerator optimization, diagnostics, and operations.
- Design and develop the software and interfaces that connect accelerator control systems with AI/ML applications.
- Contribute to the group’s software and computing environment, including control-system integration and operational tools.
- Collaborate with accelerator physicists, controls engineers, and operations staff to identify opportunities for automation and to translate physics requirements into working solutions.
- Disseminate results through publications in peer-reviewed journals and presentations at relevant conferences and workshops.
- Apply sound development practices to produce reliable, well-documented, and maintainable software.
- Support the operation of the ALS accelerator systems, including availability during off-hours as needed.
- Participate in the commissioning activities of the ALS Upgrade as they relate to AI/ML systems.
- Comply with LBNL/ALS Environment, Safety, and Health (EH&S) practices and requirements.
BASIC QUALIFICATIONS
- Master’s degree in computer science, physics, engineering, or a related field with at least 3 years of related experience; or a Bachelor’s degree with at least 5 years; or an equivalent combination of education and experience. A Ph.D. in a relevant field is preferred and counts toward the experience requirement.
- Demonstrated experience developing and deploying software systems in a scientific or engineering environment.
- Strong programming skills, including proficiency in Python and familiarity with modern development practices (version control, testing, documentation).
- Working knowledge of machine learning methods and their application to scientific or engineering problems.
- Demonstrated ability to design and build complex software systems.
- Ability to work effectively in a multidisciplinary team alongside physicists, engineers, and operations staff.
- Good command of written and oral English and communication skills.
- Ability to foster constructive, respectful, and cooperative workplace relationships.
PREFERRED QUALIFICATIONS
- Experience working at an accelerator facility or similar large-scale scientific instrumentation environment.
- Experience with accelerator control systems (e.g., EPICS) and real-time data acquisition.
- Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and scientific computing libraries (e.g., NumPy, pandas).
- Familiarity with accelerator control system frameworks (e.g., EPICS, Bluesky, ophyd) and real-time data systems.
- Experience with LLM-based agent architectures, tool-use patterns, and autonomous AI systems.
- Experience with containerization (Docker), CI/CD pipelines, and production deployment practices.
- Experience with distributed systems, API design, and real-time data streaming.
ADDITIONAL INFORMATION
- Application date: Priority consideration will be given to candidates who apply by July 2, 2026. Applications will be accepted until the job posting is removed.
- Appointment type: This is a full-time career appointment, non-exempt (hourly paid), eligible for overtime pay.
- Salary range: The full salary range for this position is $9,761/month to $16,473/month and is expected to pay between the targeted range of $9,761 to $13,422/month. Salary for this position will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position.
- Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
- Work modality: This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.
Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!
Why join Berkeley Lab?
We invest in our employees by offering a total rewards package you can count on:
- Exceptional health and retirement benefits, including pension or 401K-style plans
- Opportunities to grow in your career - check out our Tuition Assistance Program
- A culture where you’ll belong - we are invested in our teams!
- In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
- Parental bonding leave (for both mothers and fathers)
- Pet insurance
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
See all 618+ Green Card AI Researcher Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship in AI Researcher
Document your research contributions before applying
PERM requires your employer to define the role's minimum requirements before filing. Publications, patents, conference presentations, and open-source contributions help establish that the position genuinely requires an advanced degree, which strengthens both the job description and your EB-2 eligibility.
Target employers with dedicated immigration infrastructure
AI Researcher roles at companies with in-house immigration teams move through PERM and I-140 faster than those relying on outside counsel alone. Look for employers whose job postings list sponsorship explicitly and whose offer letters reference green card support, not just H-1B visa.
Search green card sponsoring employers using Migrate Mate
Filter AI Researcher openings by employers who have filed PERM applications for this specific job category. Migrate Mate surfaces DOL disclosure data so you can identify which companies have sponsored roles at your level before accepting an offer.
Verify the prevailing wage tier before negotiating salary
DOL assigns a wage level to your PERM application using the OFLC Wage Search. AI Researcher roles often land at Level III or IV. If your offered salary falls below the certified prevailing wage, USCIS will deny the I-140, so confirm the tier early in the offer stage.
Clarify the EB category and priority date strategy with your employer
EB-2 requires a master's degree or equivalent and typically processes faster for most nationalities. EB-3 covers bachelor's-level roles and can sometimes be filed concurrently to secure an earlier priority date. Ask your employer's counsel which category they plan to use and why.
Understand how job duties affect your O*NET classification
PERM filings for AI Researcher positions must match a recognized O*NET occupation code. If your actual duties span multiple categories, like both research and engineering, misclassification can trigger an audit. Review the O*NET description for your role and flag discrepancies to your employer before the labor certification is filed.
Green Card AI Researcher: Frequently Asked Questions
Does an AI Researcher role qualify for EB-2 or EB-3 sponsorship?
Most AI Researcher positions qualify for EB-2 because they require a master's or doctoral degree in computer science, machine learning, or a related field. If the employer defines the role at the bachelor's level, EB-3 applies instead. Some employers file under both categories simultaneously to secure the earliest possible priority date, which matters most for nationals of India and China where backlogs are longest.
How does green card sponsorship differ from H-1B for AI Researcher roles?
The H-1B is a temporary status with a three-year initial period and an annual lottery cap, while PERM-based green card sponsorship leads to permanent residency with no cap concerns at the EB-3 level for most nationalities. The tradeoff is time: green card processing typically takes two to four years from PERM filing to I-485 approval, compared to H-1B approval in a few months. The process also requires your employer to run a formal recruitment campaign before filing.
What does the PERM labor certification require for an AI Researcher position?
Your employer must conduct a DOL-mandated recruitment process, including job postings, print advertisements, and internal notices, to demonstrate no qualified U.S. workers are available. The job requirements written into the PERM application must reflect what the role genuinely needs, not what would make you uniquely qualified. AI Researcher roles with overly narrow requirements, like a specific framework or proprietary tool, are common audit triggers.
How can I find employers who sponsor green cards for AI Researcher roles?
Use Migrate Mate to filter AI Researcher openings by employers with a PERM filing history for this specific role type. DOL publishes PERM disclosure data, and Migrate Mate surfaces it so you can see which companies have successfully sponsored candidates at this job level before you apply, saving time on employers who only offer H-1B support.
Can I change employers after my PERM is filed but before my green card is approved?
Yes, under AC21 portability rules you can change employers once your I-140 is approved and your I-485 has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. For AI Researcher roles this is usually straightforward since the DOT occupational categories are broadly defined, but your new employer should review your case with immigration counsel before you accept an offer.