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Neural Engineer Jobs in Dallas, TX (NOW HIRING)

Texas Instruments

AI Solutions Engineer

Dallas, TX

... neural network (MLPs, RNNs, CNNs, GNNs, transformers) based machine learning algorithms. Put ... Engineer your future. We empower our employees to truly own their career and development. Come ...

New

Texas Instruments

AI Solutions Engineer

Dallas, TX · On-site

Development of novel neural network related algorithms and associated publication in top technical ... Programming * Python programming and the PyTorch package * C / C++ programming * SQL programming

New

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$80K - $90K/yr

Strong understanding of supervised and unsupervised learning, neural networks, transformers • ... SQL, data cleaning, feature engineering • Hyperscalers : AWS, Azure, or GCP experience a plus ...

Northern Base

Generative AI Engineer

Irving, TX · On-site

Neural Networks & Transformer Architectures * Generative AI Techniques * GANs & Text-to-Image Generation * Text Generation Models * SQL & Data Wrangling * Data Cleaning & Feature Engineering * Model ...

Targeted Talent

Compiler Tech Lead

Dallas, TX · On-site

$43K - $56K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities: * Design and implement software that maps neural nets onto our spatial architecture * Stay abreast of ...

PB consulting

Generative AI Engineer

Lewisville, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural ...

PB consulting

Generative AI Engineer

Duncanville, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural ...

PB consulting

Generative AI Engineer

Hurst, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural ...

PB consulting

Generative AI Engineer

Coppell, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural ...

PB consulting

Generative AI Engineer

Colleyville, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural ...

PB consulting

Generative AI Engineer

Addison, TX · On-site

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI ... Strong knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), neural ...

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All JobsNeural Engineer JobsNeural Engineer Jobs in Dallas, TX

Neural Engineer information

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$54.9K

$103K

$187.4K

How much do neural engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for neural engineer in Dallas, TX is $103,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $122,300.00 per year, depending on experience, location, and employer.

What does a neural engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive as a neural engineer?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What types of projects and collaborations can a neural engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

How much does a neural engineer make?

The average salary for a neural engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals in this field often hold advanced degrees in neuroscience, engineering, or related areas and work in research institutions, healthcare, or tech companies specializing in brain-computer interfaces and neural technologies.

Is neural engineering a good career?

Neural engineering is a growing field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovative medical solutions and interdisciplinary work.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often find employment in healthcare, biotech, and academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and cognitive enhancement.

What are popular job titles related to Neural Engineer jobs in Dallas, TX?

For Neural Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Neural Engineer jobs in Dallas, TX look for?

The top searched job categories for Neural Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Neural Engineer jobs?

Cities near Dallas, TX with the most Neural Engineer job openings:

Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $103,035 per year, or $49.5 per hour.

AI Solutions Engineer

Dallas, TX

Texas Instruments
Semiconductor and Electronic Component Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

50th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Recommended by students

Learn more about Texas Instrumentsexternal

Full-time

Posted 2 days ago

New

Job description

Change the world. Love your job.

In your first year with TI you'll join the Career Accelerator Program (CAP) - a fasttrack development experience that blends professionalskill workshops, technical training and onthejob learning so you can start delivering realworld impact from day1.

About the job:

Design and build AI enabled solutions for discriminative and generative applications using a combination of classical and neural network (MLPs, RNNs, CNNs, GNNs, transformers) based machine learning algorithms.  Put together efficient data pipelines, develop agents using the latest LLMs or train new networks from scratch, test with rigor and monitor deployments for accuracy and drift. 

Work with partners across TI to address a wide variety of applications including design (software, digital, analog), manufacturing (process development, fabrication, testing), sales (pricing, recommendations), planning, and general productivity. Deliver robust scalable, performant, and secure solutions.

Why TI?
  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

Minimum Requirements:

  • PhD degree in Electrical Engineering, Computer Engineering, Computer Science or a related technical field of study
  • Cumulative 3.0 / 4.0 GPA or higher

Preferred Qualifications:

  • AI / ML
    • Master's and / or PhD in a relevant field or equivalent experience
    • Development of novel neural network related algorithms and associated publication in top technical conferences
    • Design, training, and use of the latest transformer based LLMs (reasoning, agents)
    • Design, training, and use of additional neural network types (MLPs, RNNs, CNNs, GNNs)
    • Traditional ML based techniques (clustering, regression, trees, ...)
    • AI / ML based approaches to language, speech, vision, games, time series, and personalization related applications
  • Programming
    • Python programming and the PyTorch package
    • C / C++ programming
    • SQL programming
  • Math
    • Dense linear algebra, probability, and calculus
    • Optimization theory and algorithms
  • Personal
    • Strong technical leadership, communication and interpersonal skills
    • The ability to dream what could be and the drive to make the dream a reality
Texas Instruments logo

About Texas Instruments

Sourced by ZipRecruiter

As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Industry

Semiconductor and electronic component manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1930

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