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Natural Language Processing Jobs in Austin, TX (NOW HIRING)

... natural language processing (NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or TFM (Tool Flow Methodology) Proficiency with UNIX shell environment ...

... natural language processing (NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or TFM (Tool Flow Methodology) Proficiency with UNIX shell environment ...

Experience with natural language processing (NLP) and conversational AI, including chatbot development and voice/chat automation. $115,000 - $135,000 a year #LI-JF1 We may use artificial intelligence ...

... natural language processing (NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or TFM (Tool Flow Methodology) Proficiency with UNIX shell environment ...

... natural language processing (NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or TFM (Tool Flow Methodology) Proficiency with UNIX shell environment ...

Use machine learning, natural language processing, OCR, automation, Generative AI, and model-integration techniques to support project delivery * Evaluate whether a use case is best solved through ...

Some experience with natural language processing is preferred. * Some experience working with LLMs via API is preferred but not required. * Ability to work with various data formats. This includes ...

... natural language processing, or generative artificial intelligence solutions. * 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes. * 1+ years of ...

Director, Talent Acquisition

Austin, TX

$103K - $141K/yr

With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at ...

Showing results 41-60

Natural Language Processing information

See Austin, TX salary details

$14

$25

$47

How much do natural language processing jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for natural language processing in Austin, TX is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $29.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.
What are popular job titles related to Natural Language Processing jobs in Austin, TX? For Natural Language Processing jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Austin, TX look for? The top searched job categories for Natural Language Processing jobs in Austin, TX are:
Infographic showing various Natural Language Processing job openings in Austin, TX as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $52,521 per year, or $25.3 per hour.

Gate-level IR/EM CAD/NLP Engineer

Apple

Austin, TX

$184K - $324K/yr

Full-time

Medical, Dental, Retirement

Re-posted 20 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

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.
Description
In this highly visible role, your primary responsibilities will include:
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.
Generating customized reports and dashboards to identify IR/EM issues and recommended solutions to improve power grid integrity.
Identifying opportunities to automate and streamline various IR/EM analysis and signoff flows.
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.
Work side by side with EDA vendors to enhance and develop solution to improve efficiency and capacity.
Preferred Qualifications
Knowledge in some of the PNR implementation and/or EMIR analysis flow
Experience in electrical engineering machine learning applications
Experience with large language models, including fine-tuning, retrieval augmented generation, and prompt engineering
Ability to coordinate and drive initiatives with little to no oversight
Excellent communication and presentation skills
Experience in EMIR analysis and some of the related flows - extraction, timing, noise, simulation, physical design and/or verification
Experience leading industry electrical engineering-focused software development projects
Minimum Qualifications
Experience in developing object-oriented programs, utilizing data structures, and writing algorithms
Experience in writing machine learning algorithms, implementing natural language processing (NLP), or using large language models in industry applications
Experience in EDA Tool, CAD flow or TFM (Tool Flow Methodology)
Proficiency with UNIX shell environment, Python, and code revision control
Minimum requirement of BS + 10 years of relevant industry experience
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 $184,700 and $324,800, 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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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976