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Neural Engineer Jobs in Houston, TX (NOW HIRING)

Urnet Inc

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 ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Deep Neural Networks (DNN): * Hands-on experience with CNN, RNN, Graph Neural Networks, and ...

Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... Experience deploying or optimizing neural network inference workloads using technologies such as ...

Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... Experience deploying or optimizing neural network inference workloads using technologies such as ...

Socket.dev

Robotics Machine Learning Engineer

Houston, TX · On-site

$120 - $180/hr

We're looking for a Machine Learning Engineer to drive our machine learning strategy. We are ... Understanding of the challenges of deploying neural network models in the real world. * Experienced ...

New

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

... Engineer to develop their unified behavioral architecture. This role involves bridging the gap ... Advance our state-of-the-art neural architectures to improve spatial reasoning, long-horizon ...

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All JobsNeural Engineer JobsNeural Engineer Jobs in Houston, TX

Neural Engineer information

See Houston, TX salary details

$50K

$93.8K

$170.6K

How much do neural engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for neural engineer in Houston, TX is $93,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $111,300.00 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 the most commonly searched types of Neural Engineer jobs in Houston, TX? The most popular types of Neural Engineer jobs in Houston, TX are:
What are popular job titles related to Neural Engineer jobs in Houston, TX? For Neural Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Houston, TX look for? The top searched job categories for Neural Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Neural Engineer jobs? Cities near Houston, TX with the most Neural Engineer job openings:
Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 60% Full Time, 30% Part Time, and 10% Contract. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $93,790 per year, or $45.1 per hour.

Engineer

Urnet Inc

Houston, TX • On-site

$100K - $150K/yr

Full-time

Re-posted 15 days ago

Job description

About the Role:

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 will directly contribute to the development of innovative solutions that enhance operational efficiency and drive technological advancements. You will collaborate with cross-functional teams to ensure that systems are robust, scalable, and meet the highest standards of quality. This position requires a deep understanding of C++ programming to develop and optimize algorithms that power our neural network models. Ultimately, your contributions will help shape the future of our technology offerings and improve user experiences across various applications.

Minimum Qualifications:

  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • Proven experience in developing applications using C++.
  • Strong understanding of Artificial Neural Networks and their applications in systems engineering.

Preferred Qualifications:

  • Master's degree in a relevant field.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with software development methodologies and tools.

Responsibilities:

  • Design, develop, and implement algorithms using Artificial Neural Networks to address specific engineering challenges.
  • Write and maintain high-quality C++ code to support system functionalities and performance optimization.
  • Collaborate with software developers, data scientists, and other engineers to integrate neural network solutions into existing systems.
  • Conduct system testing and validation to ensure reliability and accuracy of the implemented solutions.
  • Document technical specifications and provide training to team members on new technologies and methodologies.

Skills:

The required skills in Artificial Neural Networks will be utilized daily to create models that can learn from data and improve over time, ensuring that our systems remain cutting-edge. Proficiency in C++ is essential for writing efficient code that can handle complex computations and large datasets, which is a core part of our engineering processes. Systems engineering skills will be applied to integrate various components of our technology stack, ensuring seamless operation and performance. Additionally, preferred skills such as experience with machine learning frameworks will enhance your ability to implement state-of-the-art solutions. Overall, these skills will enable you to contribute effectively to projects that require innovative thinking and technical expertise.