Nlp Engineer Jobs in Texas
Nlp Engineer jobs in Texas are among the most active in the country, concentrated in AI-driven product development, enterprise software, fintech, and healthcare technology, with openings at every level from early-career through principal engineer. Austin, Dallas, and Houston lead hiring, with established employers such as Dell Technologies, IBM, and Amazon Web Services maintaining significant operations across the state. The most consistent demand is for engineers who specialize in large language models, conversational AI, and information extraction pipelines. Find a role that fits below and apply directly.
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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 + 3 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.
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 $147,400 and $272,100, 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. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Find Nlp Engineer JobsNlp Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Nlp Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Apple4

- Tms1

Top Industries Hiring
- Electronics & Hardware4
- Technology & Software1
What Texas Employers Look For
The qualifications that appear most often in nlp engineer jobs across Texas.
- Bachelor's or master's degree in computer science, linguistics, or a related technical field
- Proficiency in Python and core NLP libraries such as spaCy, Hugging Face, or NLTK
- Hands-on experience building or fine-tuning large language models for production use
- Familiarity with machine learning frameworks including PyTorch or TensorFlow
- Experience deploying NLP systems on cloud platforms such as AWS, Azure, or GCP
- Strong written communication skills to document models and collaborate with cross-functional Texas teams
Nlp Engineer Jobs in Texas: Frequently Asked Questions
How do you become a nlp engineer in Texas?
Becoming an nlp engineer in Texas requires at minimum a bachelor's degree in computer science, computational linguistics, or a closely related field, though a master's degree is preferred at most Texas employers for independent contributor roles. There is no state-issued license for this role. Texas hiring managers consistently look for a portfolio of deployed NLP projects, proficiency in Python, and demonstrated experience with transformer-based models. Contributing to open-source projects or completing graduate coursework at UT Austin, Texas A&M, or Rice University strengthens a candidate's profile considerably.
How much do nlp engineers make in Texas?
Nlp engineers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire nlp engineers in Texas?
Employers hiring nlp engineers in Texas right now include Apple and Tms, based on current listings on Migrate Mate as of June 2026. Texas-based technology hubs in Austin and the Dallas-Fort Worth metroplex are home to both Fortune 500 technology divisions and fast-growing AI startups that recruit nlp engineers on a rolling basis.
Which Texas cities have the most nlp engineer jobs?
Austin and Houston have the most nlp engineer openings in Texas. Austin leads because of its dense concentration of technology companies and AI startups, Dallas-Fort Worth follows due to large enterprise technology, telecom, and fintech employers headquartered or regionally based there, and Houston contributes through energy-sector digital transformation initiatives and a growing health informatics ecosystem.
Are there remote nlp engineer jobs in Texas?
Yes, and more than most fields. NLP engineering is fundamentally a desk-based, software-heavy discipline, making it well suited to remote arrangements. About 20% of nlp engineer openings tied to Texas are remote or hybrid as of June 2026, reflecting how broadly the role is accepted for distributed work. Research, model development, and data annotation tasks tend to be the most consistently offered in fully remote formats.
How can I get hired as a nlp engineer in Texas with little or no experience?
The most realistic entry path is applying for machine learning or data science associate roles at large Texas technology employers such as Dell, TI, or AT&T, which run structured new-graduate programs in their AI divisions. Building a public GitHub portfolio with at least two end-to-end NLP projects, such as a text classifier or a fine-tuned language model, compensates meaningfully for a thin resume. Adjacent roles in data annotation, computational linguistics, or software quality assurance at Texas AI companies also serve as common stepping stones into engineering positions.
Where can I find and apply to nlp engineer jobs in Texas?
You can find and apply to nlp engineer jobs in Texas on Migrate Mate, which lists current Texas openings across the state's major hiring metros. Find roles that fit your experience and specialization and apply directly to each one.
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