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Neural Engineer Jobs in Arizona (NOW HIRING)

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

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt ...

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

Software Engineer

Tempe, AZ · On-site

$100 - $125/hr

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

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

As a Lead AI Engineer at Honeywell Aerospace, you will provide expert-level technical leadership in ... neural networks (PINNs), digital twins, and high-fidelity model surrogates. • Research, develop ...

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

... neural modeling technology, have successfully taken what used to be more of an art and a hope ... Job Title: Sr. Stormwater Engineer Location: Scottsdale, AZ 85251 Duration: 8 Months+ with high ...

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Neural Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do neural engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for neural engineer in Arizona is $104,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,500.00 per year, depending on experience, location, and employer.

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 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 does a neural engineer make?

The average salary for a neural engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals in this field often hold advanced degrees in neuroscience, engineering, or related areas and work in research institutions, healthcare, or tech companies specializing in brain-computer interfaces and neural technologies.

Is neural engineering a good career?

Neural engineering is a growing 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 career can be rewarding for those interested in innovative medical solutions and interdisciplinary work.

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 are the most commonly searched types of Neural Engineer jobs in Arizona?

The most popular types of Neural Engineer jobs in Arizona are:

What are popular job titles related to Neural Engineer jobs in Arizona?

For Neural Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Neural Engineer jobs in Arizona look for?

The top searched job categories for Neural Engineer jobs in Arizona are:

What cities in Arizona are hiring for Neural Engineer jobs?

Cities in Arizona with the most Neural Engineer job openings:

Infographic showing various Neural Engineer job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,028 per year, or $50 per hour.

Postdoctoral Research Associate, Biomedical Engineering (Multiple Positions)

UNIVERSITY OF ARIZONA

Tucson, AZ • On-site

$60 - $80/hr

Other

Medical, Dental, Vision, Life, PTO

Re-posted 20 hours ago


University Of Arizona rating

7.4

Company rating: 7.4 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

339th of 631 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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