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Neural Engineering Jobs in Arizona (NOW HIRING)

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 ...

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

... 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 ...

CNH Industrial Group

Software Engineer

Tempe, AZ · On-site

$90 - $130/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 ...

New

Pwc

AI Engineer

Phoenix, AZ · On-site

$50K - $112K/yr

... 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 ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

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

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 ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Aug 21, 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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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 August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $37,438 per year, or $18 per hour.

Python Audio Application Developer

Cirrus Logic

Chandler, AZ • On-site

Full-time

Re-posted 19 days ago

Job description

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn't do it without our extraordinary workforce - and that's where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!
Cirrus Logic is seeking a highly skilled Python Audio Application Developer to design and develop critical internal and customer-facing algorithms, along with configuration, calibration, and test tools, for our industry-leading mixed-signal ICs. In this role, you'll build sophisticated demonstration, calibration, and tuning tools, as well as testing platforms that showcase our IP, help win new business, and ensure system quality. You'll also collaborate closely with field application engineers and customers to integrate our technology into next-generation consumer products and provide customers tools for their development and production processes.
Responsibilities
  • Design and develop algorithms, real-time testing and tuning software for Cirrus Logic ICs.
  • Build host-side Python applications to test, configure and demonstrate Cirrus Logic ICs.
  • Collaborate with cross-functional teams including hardware, software tools, applications, and SQA.
  • Support customer integration and field engineering efforts.

Required Skills and Qualifications
  • BS or MS in Computer Science, Electrical Engineering, or related field.
  • 5+ years of experience in audio signal processing and interfacing with hardware and drivers on Windows platforms.
  • Customer-facing development experience in the Laptop/Desktop PC space.
  • Advanced proficiency with Python application development, particularly hardware interfacing, and solid C/C++ experience
  • Excellent communication and documentation abilities.

Preferred Skills and Qualifications
  • Experience with audio related electronics (codecs, filters, amplifiers, etc.)
  • Strong lab experience with acoustic measurement and audio quality evaluation metrics
  • Experience with classical machine learning techniques and modern neural network architectures for audio processing.
  • Experience with Matlab for testing, control and algorithm development.
  • Familiarity with Git, Visual Studio, Visual Studio Code, and PyTorch.
  • Knowledge of debugging tools (JTAG, SWD, GDB) and peripheral interfaces (SPI, I2C, etc.).

Export control restrictions based upon applicable laws and regulations would prohibit candidates who are nationals of certain embargoed countries from working in this position without Cirrus Logic first obtaining an export license. Candidates for this role must be able to access technical data without a requirement for an export license. We are unable to sponsor or obtain export licenses for this role.
Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law.

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