H-1B Visa Nlp Engineer Jobs
NLP Engineer roles qualify as H-1B specialty occupations under the computer and mathematical occupations category, requiring at least a bachelor's degree in computer science, computational linguistics, or a related field. Employers filing H-1B petitions for NLP engineers must certify a prevailing wage through a DOL Labor Condition Application before USCIS adjudicates the petition.
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INTRODUCTION
Interested in joining us to deliver the world’s most advanced silicon? At Apple, new ideas have a way of becoming phenomenal products very quickly. There's no telling what you could accomplish at Apple. The people who work here have reinvented entire industries with Apple silicon power all our products. The same real passion for innovation that goes into our products also applies to our practices - we continue to strengthen our commitment to leave the world better than we found it!
As a key member of our best-in-class CAD Group, you will be part of developing an analytic platform to identify and recommend solutions to signoff IR/EM analysis. You will have the opportunity to acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon design, also applying machine learning (ML) and large language modeling (LLM) technologies to provide more accurate and efficient design feedback. These LLM applications encompass tasks such as large data summarization, information retrieval, triage, and chatbot development, alongside traditional silicon design areas such as static/dynamic IR analysis, signal/power grid extraction, STA timing, signal/power EM analysis, and signoff.
The successful candidate will excel in dynamic, collaborative working environments and exhibit a hands-on, enthusiastic, self-motivated approach, with a strong drive to succeed in challenging settings. If you are eager to tackle challenges with innovative solutions, deliver exceptional user experiences, and pay meticulous attention to detail, this role may be the perfect fit for you. As a member of our team, your contributions will directly impact the experiences of millions of Apple customers in delivering state of the art processors to the wide range of Apple products.
ROLE AND RESPONSIBILITIES
In this highly visible role, your primary responsibilities will include:
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Developing innovative ML and large language model applications to understand, explain, and interact with EDA (electronic design automation) software. Designing and implementing their interaction with our extensive compute infrastructure.
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Generating customized reports and dashboards to identify IR/EM issues and recommended solutions to improve power grid integrity.
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Identifying opportunities to automate and streamline various IR/EM analysis and signoff flows.
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Support and collaborate with design groups (Physical-design and integration, Circuit-design / Power / Package & System / Technology) on their IR/EM requirements for various analysis flows.
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Work side by side with EDA vendors to enhance and develop solution to improve efficiency and capacity.
MINIMUM QUALIFICATIONS
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Experience in developing object-oriented programs, utilizing data structures, and writing algorithms.
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Experience in writing machine learning algorithms, implementing natural language processing (NLP), or using large language models in industry applications.
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Experience in EDA Tool, CAD flow or TFM (Tool Flow Methodology).
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Proficiency with UNIX shell environment, Python, and code revision control.
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Minimum requirement of BS + 10 years of relevant industry experience.
PREFERRED QUALIFICATIONS
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Knowledge in some of the PNR implementation and/or EMIR analysis flow.
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Experience in electrical engineering machine learning applications.
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Experience with large language models, including fine-tuning, retrieval augmented generation, and prompt engineering.
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Ability to coordinate and drive initiatives with little to no oversight.
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Excellent communication and presentation skills.
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Experience in EMIR analysis and some of the related flows - extraction, timing, noise, simulation, physical design and/or verification.
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Experience leading industry electrical engineering-focused software development projects.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Nlp Engineer
Verify your degree supports specialty occupation
USCIS scrutinizes NLP roles when your degree is in a broad field like information systems. Pull the O*NET profile for NLP or machine learning engineers and confirm your transcripts show coursework directly tied to that occupation code.
Target employers with active LCA filing history
Search Migrate Mate to filter NLP Engineer roles by employers who have filed Labor Condition Applications for this occupation. LCA history confirms the employer has navigated H-1B sponsorship before, cutting your risk of a first-timer filing error.
Understand how your role title affects wage levels
DOL assigns prevailing wages by SOC code and experience tier. An NLP Engineer titled 'Research Scientist' may land at a higher wage level than 'Software Engineer II,' affecting your offer negotiation. Use the OFLC Wage Search to check the level your job description maps to.
Document proprietary model work for RFE defense
USCIS increasingly issues Requests for Evidence on NLP roles, questioning whether the work is truly specialized. Before filing, build a paper trail: architecture diagrams, model cards, and peer-review citations that show your day-to-day tasks require graduate-level NLP expertise.
Negotiate cap-exempt employer options before the lottery
Universities, nonprofit research labs, and certain government contractors are cap-exempt, meaning you can start any time without waiting for the October 1 start date. If you're on OPT and your registration isn't selected, a cap-exempt NLP role lets you stay in status immediately.
Align your start date with cap-gap protection
If your F-1 OPT expires before October 1 after a successful H-1B lottery selection, cap-gap automatically extends your work authorization. Your employer must file the I-129 before your OPT end date, so confirm their filing timeline well before that deadline.
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Find Nlp Engineer JobsNlp Engineer H-1B Visa: Frequently Asked Questions
Does an NLP Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. USCIS classifies NLP Engineer positions under computer and mathematical occupations, which routinely satisfy the specialty occupation standard because the work theoretically and practically requires at least a bachelor's degree in computer science, computational linguistics, or a directly related field. Employers strengthen petitions by mapping job duties to graduate-level NLP tasks such as transformer architecture design, corpus annotation methodology, or low-resource language modeling.
How do employers determine the prevailing wage for an H-1B NLP Engineer petition?
Employers use the DOL's OFLC Wage Search to identify the prevailing wage for your SOC code, experience level, and work location before certifying the Labor Condition Application. NLP Engineers often map to the software developers or computer research scientists SOC code depending on duties, and the wage level assigned affects what the employer must pay. You can verify expected wage levels yourself using the OFLC Wage Search before negotiating an offer.
Which employers are most likely to sponsor H-1B visas for NLP Engineer roles?
Technology companies building conversational AI, search, and language model products file the highest volume of H-1B LCAs for NLP-related occupations. Academic medical centers, financial services firms building document processing tools, and defense contractors also sponsor regularly. Migrate Mate filters NLP Engineer roles by verified LCA filing history so you can identify employers who have sponsored this specific occupation, not just tech employers broadly.
Can I switch employers mid-H-1B if I get a better NLP Engineer offer?
Yes. Under H-1B portability rules established by AC21, you can change employers once you've been in H-1B status for at least 180 days and your new employer files an H-1B transfer petition before your current status expires. Your work authorization continues while the transfer petition is pending. The new employer must file a fresh LCA at the prevailing wage for your new work location, which matters if you're moving between high- and lower-cost metro areas.
What happens to my H-1B status if my NLP Engineer role is eliminated in a layoff?
You enter a 60-day grace period from your last day of employment, during which you can find a new sponsor, change to a different nonimmigrant status, or depart the U.S. Your former employer is responsible for the cost of return transportation to your home country under USCIS regulations. During those 60 days, a new employer can file an H-1B transfer petition and you can begin working once it's filed, not just approved, if you have at least 180 days of prior H-1B time.
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