J-1 Visa ML Software Engineer Jobs
ML Software Engineer roles in the United States are accessible to international professionals through J-1 visa sponsorship under the Trainee or Research Scholar program category. Designated sponsor organizations issue your DS-2019, while the hiring company serves as your host employer. No lottery, no annual cap.
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Get Access To All JobsINTRODUCTION
pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.
JOB SUMMARY
This position will assist engineers in designing, developing, and implementing AI/ML solutions utilizing large language models (LLMs) from sources such as OpenAI, Llama, and Gemini. The intern will support the creation of Agent frameworks that leverage Agentic AI principles for autonomous decision-making and task execution. Additionally, this role will involve leveraging software to automate RFIC design workflows to improve efficiency and accuracy. This includes contributing throughout the entire product life cycle—from initial concept through scalable deployment.
ROLES & RESPONSIBILITIES
This position has responsibility for:
- Full Stack Development: Build software platforms for LLM integration including frontend, UI/UX design, and backend infrastructure.
- Agent Framework Creation: Assist in developing intelligent systems based on Agentic AI principles using tools like OpenAI Agents SDK or Langchain.
- Data Management: Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases. Implement RAG systems to improve LLM performance.
- RFIC Design Automation: Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.
- Model Implementation: Collaborate with engineers to implement tools like Langchain and OpenAI Agents SDK for enhancing data flow between applications and LLMs.
- Research & Documentation: Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.
MINIMUM QUALIFICATIONS
- Hands-on experience in programming languages such as Python.
- Familiarity with machine learning concepts including large language models such as GPT5, Llama, Gemini, and Claude.
- Experience with backend development using Flask or FastAPI.
PREFERRED QUALIFICATIONS
- Experience working on projects involving machine learning techniques or agent-based systems is a plus.
- Knowledge of vector databases, RAG frameworks, and vector databases is a plus.
- Knowledge of frontend frameworks such as React or Svelte is a plus.
- Understanding cloud service architecture across platforms like AWS, Azure or GCP would be advantageous.
EDUCATION REQUIREMENTS
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field (must be completing 3+ years).
WORK ENVIRONMENT
This job operates in a professional office environment. This role routinely uses standard office equipment.
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.
COMPENSATION
- Salary Range: USD 32.20 - 58.32 per hour
Thank you for your interest in our temporary position. Please be advised that the selected candidate will be employed and receive all wages directly from a third-party staffing agency selected by pSemi.
pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com
INTRODUCTION
pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.
JOB SUMMARY
This position will assist engineers in designing, developing, and implementing AI/ML solutions utilizing large language models (LLMs) from sources such as OpenAI, Llama, and Gemini. The intern will support the creation of Agent frameworks that leverage Agentic AI principles for autonomous decision-making and task execution. Additionally, this role will involve leveraging software to automate RFIC design workflows to improve efficiency and accuracy. This includes contributing throughout the entire product life cycle—from initial concept through scalable deployment.
ROLES & RESPONSIBILITIES
This position has responsibility for:
- Full Stack Development: Build software platforms for LLM integration including frontend, UI/UX design, and backend infrastructure.
- Agent Framework Creation: Assist in developing intelligent systems based on Agentic AI principles using tools like OpenAI Agents SDK or Langchain.
- Data Management: Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases. Implement RAG systems to improve LLM performance.
- RFIC Design Automation: Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.
- Model Implementation: Collaborate with engineers to implement tools like Langchain and OpenAI Agents SDK for enhancing data flow between applications and LLMs.
- Research & Documentation: Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.
MINIMUM QUALIFICATIONS
- Hands-on experience in programming languages such as Python.
- Familiarity with machine learning concepts including large language models such as GPT5, Llama, Gemini, and Claude.
- Experience with backend development using Flask or FastAPI.
PREFERRED QUALIFICATIONS
- Experience working on projects involving machine learning techniques or agent-based systems is a plus.
- Knowledge of vector databases, RAG frameworks, and vector databases is a plus.
- Knowledge of frontend frameworks such as React or Svelte is a plus.
- Understanding cloud service architecture across platforms like AWS, Azure or GCP would be advantageous.
EDUCATION REQUIREMENTS
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field (must be completing 3+ years).
WORK ENVIRONMENT
This job operates in a professional office environment. This role routinely uses standard office equipment.
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.
COMPENSATION
- Salary Range: USD 32.20 - 58.32 per hour
Thank you for your interest in our temporary position. Please be advised that the selected candidate will be employed and receive all wages directly from a third-party staffing agency selected by pSemi.
pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a ML Software Engineer
Align your CV to specialty occupation standards
ML Software Engineer positions require demonstrable expertise in a specific subfield, such as computer vision, NLP, or reinforcement learning. Frame your CV around published work, model benchmarks, or production deployments rather than coursework alone.
Distinguish Trainee from Research Scholar eligibility
If you graduated within the past 12 months, the Trainee category fits your stage. Research Scholar applies to postdoctoral or established researchers affiliated with a university or institute. Applying under the wrong category delays your DS-2019.
Search Migrate Mate to surface J-1 host employers
Host employers for ML roles aren't always obvious from a job posting. Use Migrate Mate to filter companies that have actively hosted J-1 exchange visitors in ML and data-adjacent roles, saving you from cold-applying to organizations unfamiliar with the program.
Confirm the host employer will sign your training plan
Before accepting an offer, verify your prospective employer is willing to complete a structured training plan with your designated sponsor. Without a signed plan, the sponsor cannot issue your DS-2019, regardless of how strong the offer is.
Request your DS-2019 start date matches your offer letter
Your DS-2019 program start date must align with your actual employment start date. If the sponsor issues the form with a date earlier than your offer, your J-1 status clock starts before you arrive, shrinking your authorized period.
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Find ML Software Engineer JobsML Software Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an ML Software Engineer role?
It depends on where you are in your career. Current students or recent graduates typically enter under the Intern or Trainee category, with Trainee applying to those who have graduated within the past 12 months and have relevant work experience. Researchers or postdoctoral engineers affiliated with a university or research institution more often qualify under the Research Scholar category. The designated sponsor makes the final determination based on your background and the host employer's training objectives.
Who actually sponsors the J-1 visa for an ML Software Engineer?
The visa sponsor is a U.S. Department of State-designated organization, not the hiring company. Organizations like IIE, Cultural Vistas, and CIEE are designated sponsors that issue the DS-2019 form, monitor compliance, and approve your training plan. The tech company, research lab, or startup where you work is the host employer. Your employment offer comes from the host, but your legal J-1 status comes from the designated sponsor.
How do I find host employers open to hiring J-1 ML engineers?
Use Migrate Mate to identify U.S. employers who have previously hosted J-1 exchange visitors in technical roles. Many ML-focused companies are unfamiliar with J-1 program requirements, so targeting organizations with prior hosting experience reduces the risk of losing an offer because the employer declines to complete the required training plan paperwork.
Does the two-year home residency requirement apply to ML Software Engineers?
It can, but it isn't automatic. The two-year home residency requirement applies when your J-1 funding comes from your home government or the U.S. government, or when your field appears on the Exchange Visitor Skills List for your country. ML engineering is not uniformly listed, but some nationalities face this requirement depending on their funding source. Confirm your status before accepting an offer if you intend to pursue H-1B or permanent residence afterward.
What does the training plan requirement mean for an ML Software Engineer position?
Your designated sponsor requires a formal training plan that outlines your learning objectives, the skills you'll develop, and how the host employer will evaluate your progress. For ML roles, this typically maps to specific technical milestones, such as model development cycles, dataset work, or deployment processes. The host employer's HR or legal team must sign this plan before the sponsor issues your DS-2019, so confirm willingness early in your offer negotiation.
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