ZipRecruiter

Log In

1

Neural Engineer Jobs in Texas (NOW HIRING)

Avride

Lead AI Infrastructure Engineer

Austin, TX · On-site

$101K - $133K/yr

The vast part of the execution graph is implemented as a chain of neural network operations. The ... About the role We're looking for a software engineer with a leadership mindset and deep ML ...

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

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 ...

previous pagenext page

Showing results 21-40

All JobsNeural Engineer JobsNeural Engineer Jobs in Texas

Neural Engineer information

See Texas salary details

$55.4K

$104K

$189.1K

How much do neural engineer jobs pay per year?

As of Aug 15, 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 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 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 Engineer jobs near you
Infographic showing various Neural Engineer job openings in Texas as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% In-person, 5% Hybrid, and 8% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.

Lead AI Infrastructure Engineer

Avride

Austin, TX • On-site

$101K - $133K/yr

Full-time

Posted 16 days ago

Job description

About the Team
Our team is at the core of Avride's self-driving stack. We build the base infrastructure layer that powers all autopilot code. It includes a C++ framework for implementing autonomy components, execution graph building and optimization systems, as well as runtimes that execute those graphs, both onboard and in simulation.
The vast part of the execution graph is implemented as a chain of neural network operations. The onboard mode relies on stable latencies of the inference of those networks, while in simulation we also optimize throughput at scale.
About the role
We're looking for a software engineer with a leadership mindset and deep ML infrastructure experience. You will decide and influence the ML infrastructure layer across the company. The biggest challenge we're facing at the moment is the effectiveness of GPU inference - both for onboard applications with near real-time guarantees and for offboard cases that target high throughput and deterministic execution. It is the first priority within this role.
What you'll do
  • At first, you will take on the GPU inference framework, focusing on performance
  • Later, the role assumes responsibility and ownership for broader ML infrastructure scattered across ML pipelines
  • Close collaboration with the applied ML team responsible for defining the neural model's architecture
What you'll need
  • Experience with PyTorch
  • Understanding of how GPUs work
  • Experience in diagnosing and resolving performance issues
  • Strong record of building infrastructure including distributed systems
  • 5+ years of experience with C++
  • Programming experience in multi-threaded environments - multiple processes, threads, timers, and interrupts

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

Apply