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Neural Engineer Jobs in Texas (NOW HIRING)

Engineer

Houston, TX · On-site

$100K - $150K/yr

As an Engineer in the Information industry, you will play a pivotal role in designing and implementing advanced systems that leverage Artificial Neural Networks to solve complex problems. Your work ...

These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

AI Algorithms/Software Engineer

Austin, TX

$96K - $132K/yr

The AI Engineering team: * Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced ...

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

AI Algorithms/Software Engineer

Austin, TX

$96K - $132K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced ...

AI Algorithms/Software Engineer

Austin, TX · On-site

$96K - $132K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced ...

The RE will work under minimal direction to provide engineering skills and support within a biomedical/clinical human neural engineering laboratory in an academic research setting. Works under ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

... Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models ... About the Role We are looking for an experienced Machine Learning Engineer with a strong background ...

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

... Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models ... About the Role We are hiring experienced Machine Learning Engineers across Senior, Staff, and ...

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Neural Engineer information

See Texas salary details

$55.4K

$104K

$189.1K

How much do neural engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for neural engineer in Texas is $104,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,400.00 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 work in healthcare, biotech, or academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and brain-machine communication.

What does a neural engineer do?

A neural engineer designs and develops technologies to interface with the nervous system, such as brain-computer interfaces, neural implants, and signal processing algorithms. They often work with neuroscience, biomedical engineering, and programming tools to create solutions for medical, research, or prosthetic applications.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and expertise in high-demand areas or management responsibilities.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

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.

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 in the Neural Engineer position, and why are they important?

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 the most commonly searched types of Neural Engineer jobs in Texas? The most popular types of Neural Engineer jobs in Texas are:
What are popular job titles related to Neural Engineer jobs in Texas? For Neural Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Texas look for? The top searched job categories for Neural Engineer jobs in Texas are:
What cities in Texas are hiring for Neural Engineer jobs? Cities in Texas with the most Neural Engineer job openings:
Neural Network Development Lead

Neural Network Development Lead

Targeted Talent

Austin, TX • Hybrid

Full-time

Medical, PTO

Posted 14 days ago

Be an early applicant


Job description

Full-Time / Hybrid

Our client is a fast-growing startup focused on creating next-generation hardware AI accelerators. They are enhancing their software to ensure seamless deployment of neural networks on their innovative hardware. This role involves optimizing neural networks to leverage their architecture efficiently.

We're searching for a talented Neural Network Development Lead with a passion for developing cutting-edge neural networks. This role involves hands-on development, working with a cross-functional team, and bridging customer needs with our software and hardware capabilities. You'll enhance our Model Garden and develop custom neural networks that offer advanced functionality and performance.

Responsibilities:

  • Lead teams to deliver and implement neural network models.
  • Develop complex programs for neural net operations.
  • Optimize neural network performance and communicate strategies to the team.
  • Collaborate with future product generation architects.

Requirements:

  • Degree in Computer Science, Engineering, or related field.
  • 5+ years of AI experience.
  • Strong C++ skills and experience in high-performance code optimization.
  • Knowledge of neural network algorithms.
  • Creative problem-solving skills.

Preferred Skills:

  • Advanced degree in a related field.
  • Project Management certification.
  • Python experience and familiarity with AI accelerator programming.
  • Strong mathematical and communication skills.

Why Consider Applying?

  • Inclusive and diverse team environment.
  • Support for accommodations during the interview process and in the workplace.
  • Benefits include 20 vacation days, comprehensive health benefits, unlimited sick days, stock options, and the chance to impact the future of AI.

Join our client's mission to revolutionize AI with their efficient, high-performance technology. If you're passionate about AI and eager to tackle challenging problems, we encourage you to apply, even if you don't meet every requirement.


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About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA