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Neural Engineer Jobs in Dallas, TX (NOW HIRING)

... neural networks, transformers โ€ข Experience with GANs, text-to-image generation, text generation ... engineering โ€ข AWS, Azure, or GCP experience Preferred : โ€ข On prem and cloud development ...

Compiler Tech Lead

Dallas, TX ยท On-site

$170K - $190K/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 ...

AI/ML Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt ...

AI/ML Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt ...

AI/ML Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

AI/ML Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

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Neural Engineer information

See Dallas, TX salary details

$54.9K

$103K

$187.4K

How much do neural engineer jobs pay per year?

As of Aug 7, 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 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 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 do neural engineers make?

Neural engineers typically earn a median annual salary of around $90,000 to $120,000, depending on experience, education, and location. Advanced skills in neuroscience, biomedical engineering, and programming can lead to higher compensation, especially in research or industry roles.

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 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 cities near Dallas, TX are hiring for Neural Engineer jobs? Cities near Dallas, TX with the most Neural Engineer job openings:
Infographic showing various Neural Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $110,900 per year, or $53.3 per hour.

$101K - $119K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

  • MS/PhD in computer science, or related technical disciplines.
  • 6+ years hands-on development experience in deep learning/machine learning/data science with expertise in computer vision.
  • Proficient in Python programming language.
  • Solid knowledge of machine learning frameworks and tools - PyTorch, OpenVino, TensorRT, OpenCV, NumPy etc.
  • Solid knowledge of developing convolution neural networks from scratch.
  • Experience with object detection, segmentation, classification and object tracking.
  • Experience with handling and manipulating large datasets.
  • Experience with developing automated machine learning pipelines.
  • Solid experience in building scalable, high performance software systems.
  • Proven ability to translate high-level product requirements into technical solutions.
  • Enthusiasm to work in a vibrant, collaborative and fast-paced engineering team.

Resource should be working in the office, Work from home is not supported.