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Neural Engineer Jobs in Arizona (NOW HIRING)

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

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 ...

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 ...

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

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

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 ...

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 ...

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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 Aug 16, 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 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 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 do neural engineers make?

Neural engineers typically earn a median annual salary of around $90,000 to $120,000, depending on experience, education, and location. Advanced skills in neuroscience, biomedical engineering, and programming can lead to higher compensation, especially in research or industry roles.

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 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 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $104,028 per year, or $50 per hour.

Python Audio Application Developer

Cirrus Logic

Chandler, AZ • On-site

Full-time

Re-posted 14 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.