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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 ...

H R PUNDITS INC

Senior Graphics Engineer

Phoenix, AZ · Remote

$130K/yr

... neural rendering, radiance fields, or Gaussian splatting Experience with advanced rendering ... engineering, or related technical fields, or equivalent practical experience This is a remote ...

Pwc

AI & GenAI Data Scientist - Manager

Phoenix, AZ · On-site

$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 ...

Cirrus Logic

Embedded Firmware Engineer - PC Audio

Chandler, AZ · On-site

$101K - $138K/yr

Support customer demonstrations, integration and field engineering efforts. * Real-time testing and ... Experience with classical machine learning techniques and modern neural network architectures for ...

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 ...

Indeed

Machine Learning Engineer III

Scottsdale, AZ

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... Represent Indeed at major Machine Learning conferences, such as Neural Information Processing ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... neural network design and reinforcement learning agents - Applying natural language processing ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Jun 14, 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.

How much are neural engineers paid?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with advanced skills in neurotechnology and programming can earn higher salaries, especially in research or industry settings.

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 engineers make $500,000?

Senior neural engineers, especially those with extensive experience, advanced degrees, and expertise in machine learning, neurotechnology, or biomedical applications, can earn salaries approaching or exceeding $500,000 annually. These roles often require specialized skills, leadership responsibilities, and work in high-demand industries such as healthcare, research, or tech companies. Compensation varies based on location, company size, and individual credentials.

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 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 is the salary of a neuroengineer?

The salary of a neuroengineer typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and the specific employer. Entry-level positions may start lower, while experienced professionals with advanced skills in neural interfaces and computational modeling can earn higher salaries.

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.
More about Neural Engineering jobs
What are popular job titles related to Neural Engineering jobs in Arizona? For Neural Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Arizona look for? The top searched job categories for Neural Engineering jobs in Arizona are:
What cities in Arizona are hiring for Neural Engineering jobs? Cities in Arizona with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Arizona as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $37,438 per year, or $18 per hour.
Postdoctoral Research Associate, Biomedical Engineering (Multiple Positions)

Postdoctoral Research Associate, Biomedical Engineering (Multiple Positions)

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 6 days ago

University Of Arizona rating

7.1

Company rating: 7.1 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

350th of 537 rated colleges and universities

Job description

Postdoctoral Research Associate, Biomedical Engineering (Multiple Positions)
Posting Number
req25617
Department
Biomedical Engineering
Department Website Link
https://bme.engineering.arizona.edu/
Location
Tucson Campus
Address
1127 E James E. Rogers Way, Tucson, AZ 85721 USA
Position Highlights
The Song lab (https://songlab.arizona.edu) at University of Arizona is actively searching for Postdoctoral Research Associates to join our Neural Engineering and Regenerative Medicine team. Our Laboratory engineers advanced microphysiological platforms, 3D-bioprinted constructs, and regenerative scaffolds that bridge the gap between cell biology and clinical translation, and is fully funded, collaborative, and actively publishing.
You'll develop in vitro and in vivo models focused on neural repair, tissue regeneration, and disease modeling, with a strong emphasis on conductive biomaterials and microphysiological systems. Active funded projects include a human blood-brain barrier-on-chip platform for stroke modeling (AHA Career Development Award) and a novel neuromodulation strategy for spinal cord injury recovery (NIH Director's New Innovator Award, DP2). The work spans molecular cellular assays, biomaterial design, organ-on-chip engineering, and translational validation - giving you breadth across biological scales that's hard to find in a single lab. We're looking for someone who wants to build things that matter and grow into an independent scientist.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
Duties and Responsibilities
  • Conduct independent research on neural repair, tissue regeneration, and disease modeling, with a strong emphasis on conductive biomaterials and microphysiological systems
  • Carry out analysis of research samples using advanced techniques and validate the measurements
  • Document, process and analyze research data
  • Disseminate research results through publishing papers and providing presentations in recognized scientific journals and conferences
  • Help oversee a team of graduate and undergraduate research assistants to conduct the studies
  • Participate and prepare grant writing with a principal investigator
  • Contribute to report writing for funding sponsors
  • Maintain lab equipment regularly and help oversee a lab to conduct experiments safely

Knowledge, Skills, and Abilities
  • Willingness to learn new skills outside of current discipline and comfort zone to accomplish project goals
  • Demonstrate broad theoretical and practical knowledge within the fields of tissue engineering, or cell biology
  • Ability to work independently as well as in a collaborative team environment
  • Strong work ethic, communication skills and team-player oriented personality

Minimum Qualifications
  • Ph.D. in biology, neuroscience, biomedical engineering, chemical engineering, materials science, electrical engineering, mechanical engineering, or a related discipline.
  • The selected candidate must have a conferred Ph.D. 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
It would be terrific if the candidate has experience in any of the following areas (not required):
  • Experience with animal model experience
  • Experience with cell biology
  • Experience with histology and imaging
  • Experience with microfabrication/MEMS

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.0
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH Postdoc Salary Scale, Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
2
Target Hire Date
Expected End Date
Contact Information for Candidates
Shang Song
shangsong@arizona.edu
Open Date
4/9/2026
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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