Manufacturing J-1 Sponsorship Jobs in California
California is one of the most active states for J-1 visa sponsorship in manufacturing, with major employers across food processing, semiconductor fabrication, aerospace components, and industrial equipment. Companies in the San Jose, Los Angeles, and Fresno areas regularly host J-1 trainees and interns in production, quality control, and process engineering roles.
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Get Access To All JobsINTRODUCTION
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
ABOUT THE ROLE:
We’re seeking an AI Intern to help our humanoid robot, Digit, navigate and interact with the world. You’ll be in the driver’s seat of an applied research project, moving past theory to see your code manifest in motion on hardware. You’ll work alongside some of the brightest minds in the industry, utilizing a fleet of Digits as your playground.
ABOUT THE WORK:
- Lead a research project in robot learning, such as reinforcement learning for whole-body control or learning loco-manipulation skills from demonstration.
- Design and run experiments to evaluate learning-based robot behaviors in simulation and on hardware.
- Improve data collection, model training, and evaluation frameworks.
- Dive into robot logs and experimental data to diagnose failures and push the boundaries of what Digit can do.
- Present your findings to a world-class team of engineers and researchers.
ABOUT YOU:
- Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related field.
- Strong skills in Python and modern ML frameworks. (PyTorch, JAX, etc.).
- Excited to integrate, run, and evaluate your learned policies on the robot.
- Strong analytical and debugging skills.
- Ability to work independently on open-ended technical problems.
PREFERRED SKILLS AND EXPERIENCE:
- Expertise in one or more of the following areas:
- Reinforcement learning
- Learning from demonstration
- Multimodal learning (vision, proprioception, forces, etc)
- Sim-2-real
- Experience training machine learning models on real or simulated datasets.
- Experience working with robot hardware.
- Experience analyzing experimental data and communicating results.
COMPENSATION
- Anticipated Salary Range: $75-$75 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
INTRODUCTION
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
ABOUT THE ROLE:
We’re seeking an AI Intern to help our humanoid robot, Digit, navigate and interact with the world. You’ll be in the driver’s seat of an applied research project, moving past theory to see your code manifest in motion on hardware. You’ll work alongside some of the brightest minds in the industry, utilizing a fleet of Digits as your playground.
ABOUT THE WORK:
- Lead a research project in robot learning, such as reinforcement learning for whole-body control or learning loco-manipulation skills from demonstration.
- Design and run experiments to evaluate learning-based robot behaviors in simulation and on hardware.
- Improve data collection, model training, and evaluation frameworks.
- Dive into robot logs and experimental data to diagnose failures and push the boundaries of what Digit can do.
- Present your findings to a world-class team of engineers and researchers.
ABOUT YOU:
- Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related field.
- Strong skills in Python and modern ML frameworks. (PyTorch, JAX, etc.).
- Excited to integrate, run, and evaluate your learned policies on the robot.
- Strong analytical and debugging skills.
- Ability to work independently on open-ended technical problems.
PREFERRED SKILLS AND EXPERIENCE:
- Expertise in one or more of the following areas:
- Reinforcement learning
- Learning from demonstration
- Multimodal learning (vision, proprioception, forces, etc)
- Sim-2-real
- Experience training machine learning models on real or simulated datasets.
- Experience working with robot hardware.
- Experience analyzing experimental data and communicating results.
COMPENSATION
- Anticipated Salary Range: $75-$75 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
J-1 Manufacturing Job Roles in California
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Search Manufacturing Jobs in CaliforniaManufacturing J-1 Sponsorship Jobs in California: Frequently Asked Questions
Which manufacturing companies sponsor J-1 visas in California?
California's manufacturing sector includes companies across aerospace, electronics, food and beverage, and medical devices that have historically participated in J-1 visa exchange programs. Employers such as Applied Materials in Santa Clara, Northrop Grumman in El Segundo, and food processing operations in the Central Valley have sponsored J-1 trainees. Sponsorship availability changes by year and program, so confirming directly with each employer's HR department is the most reliable approach.
Which cities in California have the most manufacturing J-1 sponsorship jobs?
The San Jose and Silicon Valley area concentrates J-1 opportunities in semiconductor and electronics manufacturing. Los Angeles and its surrounding cities, including Hawthorne and Carson, host aerospace and industrial manufacturing employers. Fresno, Stockton, and Modesto in the Central Valley are active in food and agricultural processing. San Diego has a notable cluster of biotech and medical device manufacturers that occasionally sponsor J-1 trainees.
What types of manufacturing roles typically qualify for J-1 sponsorship in California?
J-1 sponsorship in manufacturing is structured around trainee and intern categories, so roles with a clear training component qualify most readily. Process engineering, quality assurance, production operations, supply chain coordination, and manufacturing technology internships are common qualifying positions. The role must align with the participant's field of study or prior professional experience, and the program must include a structured training plan rather than purely routine production work.
How do I find manufacturing J-1 sponsorship jobs in California?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship, including J-1 positions in California's manufacturing sector. You can filter by visa type and industry to surface relevant openings in electronics, food processing, aerospace, and other manufacturing fields across the state. Migrate Mate focuses exclusively on sponsored roles, which saves significant time compared to filtering through general job listings.
Are there any California-specific considerations for J-1 manufacturing sponsorship?
California's strict labor laws, including its overtime rules and workplace safety regulations under Cal/OSHA, apply to J-1 trainees just as they do to regular employees. Employers must ensure the training program complies with both federal J-1 requirements and California state standards. The state's concentration in high-tech manufacturing also means many programs are tied to university partnerships or industry consortia, which can affect how programs are structured and which designated sponsor organizations are involved.