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Neural Engineering Jobs in Arizona (NOW HIRING)

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

AIML Engineer Job Location: Scottsdale - Arizona - USA Job Type: Contract to Hire * Design and ... Experience building AIML products using technologies such as LLMs neural networks and others

Forhyre

Prompt Engineers

Phoenix, AZ

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

Momento USA LLC

Gen AI Engineer

Phoenix, AZ · On-site

Programming: Advanced proficiency in Python or TypeScript/JavaScript ... Experience on Neural networks & Knowledge graph. * LLM Orchestration: Hands-on experience with ...

CNH Industrial N.V.

Software Engineer

Tempe, AZ · On-site

Engineering and Technical Job Type for Job Posting: Full Time Working Mode for Job Posting: Hybrid ... neural networks and large language models; (4) algorithms, including behavior tree and Kinematics ...

Pwc

AI & GenAI Data Scientist - Manager

Phoenix, AZ

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... Applying deep learning techniques and neural networks to improve predictive analytics ...

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How much do neural engineering jobs pay per hour?

As of Sep 4, 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 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 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.

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.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Advanced skills in neurotechnology, programming, and biomedical engineering can lead to higher compensation, especially in research or industry roles.

Is neural engineering a good career?

Neural engineering is a growing field that combines neuroscience, engineering, and technology to develop medical devices and brain-computer interfaces. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovation and interdisciplinary work.

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 industry settings, utilizing skills in neuroscience, engineering, and programming tools like MATLAB or Python. Opportunities include roles in biomedical device development, neural data analysis, and clinical applications.
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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 89% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $37,438 per year, or $18 per hour.

Postdoctoral Research Associate, Biomedical Engineering (Multiple Positions)

UNIVERSITY OF ARIZONA

Tucson, AZ • On-site

$50 - $70/hr

Other

Medical, Dental, Vision, Life, PTO

Re-posted 27 days ago

University Of Arizona rating

7.4

Company rating: 7.4 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

338th of 629 rated colleges and universities

Job description

Postdoctoral Research Associate, Biomedical Engineering (Multiple Positions)

The Song lab at the University of Arizona is actively searching for Postdoctoral Research Associates to join our Neural Engineering and Regenerative Medicine team. Our laboratory develops advanced microphysiological platforms, 3D‑bioprinted constructs, and regenerative scaffolds that bridge the gap between cell biology and clinical translation. The work spans molecular and cellular assays, biomaterial design, organ‑on‑chip engineering, and translational validation.

Responsibilities
  • Conduct independent research on neural repair, tissue regeneration, and disease modeling with a focus on conductive biomaterials and microphysiological systems.
  • Develop and perform in‑vitro and in‑vivo models including human blood‑brain barrier‑on‑chip platforms for stroke modeling and neuromodulation strategies for spinal cord injury recovery.
  • Carry out analysis of research samples using advanced techniques and validate measurements.
  • Document, process, and analyze research data.
  • Disseminate research results through publications and presentations at recognized scientific journals and conferences.
  • Assist in grant writing and report preparation for funding sponsors.
  • Oversee graduate and undergraduate research assistants to conduct studies and maintain lab equipment and safety protocols.
Knowledge, Skills, and Abilities
  • Willingness to learn new skills outside of current discipline to accomplish project goals.
  • Broad theoretical and practical knowledge within tissue engineering or cell biology.
  • Ability to work independently and in a collaborative team environment.
  • Strong work ethic, communication skills, and team‑player orientation.
Minimum Qualifications
  • Ph.D. in biology, neuroscience, biomedical engineering, chemical engineering, materials science, electrical engineering, mechanical engineering, or a related discipline (conferred upon hire).
  • Strong scientific track record demonstrating well‑organized design and execution of studies.
  • Experience in biomaterials, cell culture, and molecular and cellular assays.
Preferred Qualifications
  • Experience with animal models.
  • Experience in cell biology.
  • Experience with histology and imaging.
  • Experience with microfabrication/MEMS.
Benefits

The University of Arizona offers comprehensive benefits including health, dental, vision, life insurance, paid vacation, sick leave, holiday pay, tuition reduction for employees and eligible family members, and access to university recreation and cultural activities.

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