Nlp Engineer Jobs in USA with Visa Sponsorship
NLP Engineer roles consistently rank among the most H-1B visa-sponsored positions in tech, with employers like Google, Amazon, and Microsoft filing hundreds of petitions annually. Most require a master's or PhD in computer science or computational linguistics, and specialty occupation status is well-established for this role. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
We are now recruiting top Applied Research Interns to join Nemotron post-training team. Together, we will work on next generation of Nemotron post-training and open-source software such as NeMo-RL. Do you love the challenge of training deep learning models? Do you love the challenge of identifying and optimizing the latest AI algorithms to help us grow into new and more pervasive verticals? If so, then join our team and help us design large deep learning systems for natural language processing!
ROLE AND RESPONSIBILITIES
What You'll Be Doing
- Develop and prototype new algorithms and models for AI model post-training.
- Contribute to open-source projects such as NeMo-RL and contribute to the next version of Nemotron models.
- Publish your internship project results
BASIC QUALIFICATIONS
What We Need To See
- Pursuing a MS or PhD degree in Computer Science or Electrical Engineering
- Masters students with good publication record will be considered too
- Excellent Python programming skills
- Strong knowledge in Deep Learning for Natural Language Processing
- Experience with PyTorch or JAX
- Ability to work independently
- Attention to details and ability to manage large sets of experiments
PREFERRED QUALIFICATIONS
Ways To Stand Out From The Crowd
- Contribution to open-source projects. Please include links to your OSS contributions!
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2010488
INTRODUCTION
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
We are now recruiting top Applied Research Interns to join Nemotron post-training team. Together, we will work on next generation of Nemotron post-training and open-source software such as NeMo-RL. Do you love the challenge of training deep learning models? Do you love the challenge of identifying and optimizing the latest AI algorithms to help us grow into new and more pervasive verticals? If so, then join our team and help us design large deep learning systems for natural language processing!
ROLE AND RESPONSIBILITIES
What You'll Be Doing
- Develop and prototype new algorithms and models for AI model post-training.
- Contribute to open-source projects such as NeMo-RL and contribute to the next version of Nemotron models.
- Publish your internship project results
BASIC QUALIFICATIONS
What We Need To See
- Pursuing a MS or PhD degree in Computer Science or Electrical Engineering
- Masters students with good publication record will be considered too
- Excellent Python programming skills
- Strong knowledge in Deep Learning for Natural Language Processing
- Experience with PyTorch or JAX
- Ability to work independently
- Attention to details and ability to manage large sets of experiments
PREFERRED QUALIFICATIONS
Ways To Stand Out From The Crowd
- Contribution to open-source projects. Please include links to your OSS contributions!
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2010488
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Get Access To All JobsTips for Finding Visa Sponsorship as a Nlp Engineer
Target companies with active LCA filings
Large tech firms and AI-focused startups file Labor Condition Applications publicly. Prioritize employers with a track record of NLP-specific sponsorships rather than companies sponsoring their first technical hire, approval timelines and success rates differ significantly.
Lead with your specialty, not just 'NLP'
Employers sponsoring NLP roles need to demonstrate specialty occupation. Framing your expertise around a specific domain, conversational AI, information extraction, or machine translation, strengthens the petition and signals clear alignment between your degree and the role.
A master's degree changes your H-1B odds
NLP Engineers with a U.S. master's or higher qualify for the advanced degree exemption, giving you two lottery chances instead of one. This meaningfully increases selection probability, a distinction worth understanding before your first H-1B registration.
OPT and STEM OPT are real runway, not just a gap
Computer science and linguistics degrees both qualify for 24-month STEM OPT extensions. That gives you up to three years of work authorization post-graduation, enough time to build a track record, survive a lottery miss, and position for sponsorship.
Document your research outputs before interviews
Publications, patents, and open-source contributions directly support O-1A and EB-1A petition criteria. Employers sponsoring NLP roles in research-heavy environments increasingly view these outputs as assets that reduce immigration risk and support stronger petitions.
Ask about sponsorship policy before the offer stage
Some employers sponsor H-1B transfers but not new cap-subject petitions. Confirming a company's exact sponsorship scope early, before investing in a full interview process, saves significant time and prevents offer-stage surprises with immigration implications.
Frequently Asked Questions
Is NLP Engineer considered a specialty occupation for H-1B purposes?
Yes. NLP Engineer consistently qualifies as a specialty occupation because the role requires at minimum a bachelor's degree in a specific field, typically computer science, computational linguistics, or a closely related discipline. USCIS has approved large volumes of H-1B visa petitions for this job title, and the degree-to-role connection is well established in petition precedent.
Do I need a master's degree to get sponsored as an NLP Engineer?
A bachelor's degree in computer science or computational linguistics meets the minimum H-1B specialty occupation threshold. However, most NLP roles at top employers, particularly in research, large language models, and applied AI, are filled by candidates with a master's or PhD. A U.S. master's degree also qualifies you for the advanced degree exemption pool, giving you two H-1B lottery chances instead of one.
Which visa types can NLP Engineers use besides H-1B?
Australians can pursue the E-3 visa, which has no lottery and is renewable indefinitely. Canadian and Mexican nationals may qualify under TN visa status if the role maps to a covered USMCA category. NLP Engineers with an extensive publication record or recognized contributions to the field may also qualify for the O-1A extraordinary ability visa, which bypasses the H-1B cap entirely.
How do I find NLP Engineer jobs that offer visa sponsorship?
Migrate Mate lists NLP Engineer roles specifically filtered for visa sponsorship, so you're not guessing which employers are open to it. The platform is built for international candidates, meaning you won't waste applications on postings that exclude sponsored candidates. Roles span large tech companies, AI startups, and research institutions, all with verified sponsorship intent.
Can my research experience substitute for a traditional degree in an NLP sponsorship petition?
In some cases, yes. USCIS allows three years of specialized training or experience to substitute for one year of formal education under the specialty occupation framework. For an NLP Engineer without a four-year degree, this means roughly 12 years of directly relevant experience could satisfy the requirement, though this path faces higher scrutiny and benefits from strong supporting documentation, including publications, patents, or employer letters detailing the complexity of the work.
What is the prevailing wage requirement for sponsored Nlp Engineer jobs?
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.