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Neural Engineering Jobs in Arizona (NOW HIRING)

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineering design, with a focus on physics-informed neural networks (PINNs), digital twins, and high-fidelity model surrogates. • Research, develop, and validate new AI methodologies for multi ...

Pwc

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... neural networks and deep learning methods for advanced AI applications - Managing data quality and ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

ProKatchers LLC

Stormwater Engineer, Sr.

Scottsdale, AZ · On-site

$115.07/hr

... neural modeling technology, have successfully taken what used to be more of an art and a hope ... Requires a Bachelor's degree in Civil Engineering or a closely related field from an accredited ...

ProKatchers LLC

Stormwater Engineer, Sr.

Scottsdale, AZ · On-site

$115.07/hr

... neural modeling technology, have successfully taken what used to be more of an art and a hope ... Requires a Bachelor's degree in Civil Engineering or a closely related field from an accredited ...

Accenture

Senior Data Scientist

Scottsdale, AZ · On-site

Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy ... Design and implement deep-learning solutions using neural networks, transformers, convolutional ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs ... sentiment analysis, neural network, etc.) * Communicating complex technical concepts to ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs ... sentiment analysis, neural network, etc.) * Communicating complex technical concepts to ...

Varsity Tutors

Machine Learning Tutor

Glendale, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Chandler, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Tucson, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Mesa, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

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All JobsNeural Engineering JobsNeural Engineering Jobs in Arizona

Neural Engineering information

See Arizona salary details

$10

$17

$27

How much do neural engineering jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for neural engineering in Arizona is $18.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.47 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary 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 field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
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Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Arizona as of August 2026, with employment types broken down into 5% Internship, 78% Full Time, and 17% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $37,438 per year, or $18 per hour.

AI & Computer Vision Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

Full-time

Posted 24 days ago

Job description

Job Type
Full-time
Description
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology. Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners.
At PSG, you'll join a small, agile, and highly skilled team where your expertise has a direct impact. You'll collaborate with some of the largest and most respected defense organizations while shaping next-generation technology.
Position Description:
Develop Advanced AI and Computer Vision Systems for National Security
Prime Solutions Group (PSG), Inc. is seeking an experienced AI and Computer Vision Engineer to develop advanced perception, embedded computing, and machine learning solutions supporting multiple mission-critical national security programs.
This position offers the opportunity to work across a diverse portfolio of advanced R&D efforts involving computer vision, object tracking, AI/ML, embedded software, sensor processing, autonomous perception, and emerging neuromorphic computing technologies.
Successful candidates will contribute to the design and implementation of AI and computer vision algorithms, develop production-quality software, evaluate emerging technologies, and support the transition of research concepts into operational systems.
We are looking for T-shaped engineers: individuals with a broad software and AI foundation who also possess deep expertise in one or more technical areas. Engineers at PSG contribute across multiple programs, applying their strengths while continuously expanding their technical breadth.
Responsibilities include:
  • Design and develop real-time computer vision and AI algorithms for mission-critical applications.
  • Develop software in C/C++ and Python for embedded and high-performance computing environments.
  • Design and implement computer vision, object detection, object tracking, and perception algorithms.
  • Develop AI-enabled software supporting EO/IR imagery, advanced sensors, and event-based sensing technologies.
  • Evaluate, prototype, and integrate machine learning techniques into operational software systems.
  • Optimize software and algorithms for efficient execution on embedded and high-performance computing platforms.
  • Develop automated testing, validation, and performance evaluation methodologies.
  • Collaborate with multidisciplinary engineering teams to transition research into operational capability.
  • Evaluate and prototype emerging technologies including neuromorphic AI, event-driven sensing, and advanced embedded computing.
  • Prepare technical documentation, customer presentations, and engineering reports.

Requirements
  • U.S. Citizenship
  • Active Top Secret Clearance with eligibility to obtain SCI with CI Poly
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Artificial Intelligence, or related technical discipline.
  • 3-5 years developing software using C/C++.
  • Experience developing software using Python.
  • Experience developing software for computer vision, image processing, or AI/ML applications.
  • Experience with object detection, image analysis, tracking, or sensor processing.
  • Experience with Linux software development.
  • Experience with Git and collaborative software development practices.
  • Strong problem-solving and software engineering skills.
  • Ability to communicate effectively with technical teams and government customers.

Preferred skills or experience:
  • Experience with one or more of the following: object tracking, sensor fusion, autonomous perception, or advanced computer vision.
  • Experience developing AI applications for embedded, heterogeneous, or edge computing platforms.
  • Experience applying AI and computer vision techniques to EO/IR imagery, remote sensing, video analytics, or advanced sensor processing.
  • Experience with event-based vision, neuromorphic sensing, Spiking Neural Networks (SNNs), or related AI frameworks.
  • Experience transitioning AI algorithms into operational software.
  • Experience supporting Department of Defense, Intelligence Community, aerospace, or other mission-critical programs.
  • Demonstrated ability and interest in learning new technologies and contributing across multiple technical disciplines and programs.

Why Join PSG?
At PSG, you'll work alongside highly experienced engineers while contributing across multiple advanced research and development programs. Rather than focusing on a single product or technology, you'll have opportunities to apply your skills to a diverse range of AI, computer vision, embedded computing, and advanced sensing challenges supporting national security.
We offer:
  • Competitive compensation and benefits
  • Professional development and tuition assistance
  • Flexible and collaborative engineering culture
  • Exposure to cutting-edge AI/ML technologies
  • Direct impact on mission-critical programs
  • Opportunities to grow into technical leadership roles

Whether your passion is embedded software, computer vision, AI/ML, neuromorphic computing, or advanced sensing, you'll have opportunities to expand your expertise while working alongside experienced technical leaders.
Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

Apply