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Neural Engineering Jobs (NOW HIRING)

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

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Neural Engineering information

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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 the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 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.

What cities are hiring for Neural Engineering jobs?

Cities with the most Neural Engineering job openings:

What are the most commonly searched types of Neural Engineering jobs?

The most popular types of Neural Engineering jobs are:

What states have the most Neural Engineering jobs?

States with the most job openings for Neural Engineering jobs include:

Infographic showing various Neural Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Postdoctoral Research Associate

USC Gould School of Law

Los Angeles, CA

$65K - $72K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 7 days ago


Job description

The USC Neural Modeling and Interface Lab (https://slab.usc.edu/) directed by Prof. Dong Song seek a highly motivated postdoctoral scholar for a leading role in developing and testing cortical interfaces and prostheses in behaving animals. The goal of Song lab is to develop brain-like devices that can mimic and restore cognitive functions. To pursue this goal, we use a combined experimental and computational strategy to (1) understand how nervous systems such as the hippocampus perform higher-order cognitive functions, (2) develop next-generation modeling and neural interface methodologies to investigate brain functions during naturalistic behaviors, and (3) build cortical prostheses that can restore cognitive functions lost in diseases or injuries.


The position is with the Department of Biomedical Engineering in the Viterbi School of Engineering at the University of Southern California (USC) in Los Angeles, CA. The Viterbi School is one of the top schools of engineering in the United States. USC is one of the world's leading private research universities and the oldest private research university in California.


This is a 12 month, fixed-term position with the possibility of additional years conditional upon performance and funding availability. Postdoctoral scholars receive a comprehensive benefits packaging including medical, dental, vision, and life insurance, among many other benefits.


Candidates should have the following qualifications: (1) PhD from a top university with demonstrated research activity in neuroscience or neural engineering; (2) prior research experience in electrophysiological recording from behaving animals. Prior research experience in computational neuroscience is highly preferred; (3) excellent communication skills that can be demonstrated through their research publications and presentations. Specific responsibilities include:


Design and perform electrophysiological and behavioral experiments in rodents
Design and test multi-electrode arrays for behaving animal recording and stimulation
Mentor and train junior team members
Create technical reports, presentations, and documentation associated with the research and meetings. Publish research articles in peer-reviewed conferences and journals and present at conferences

The annual base salary range for this position is $65,500 - $72,200. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope of responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.


Review of applications will be immediately and continue until the position is filled. Interested candidates should submit a CV and the names and contact information of three professional references as a single pdf file attachment to:


Dong Song, Ph.D.
Director, USC Neural Modeling and Interface Lab
Research Associate Professor
Department of Biomedical Engineering
Neuroscience Graduate Program
University of Southern California
Los Angeles, CA 90089-1451
E-mail: dsong@usc.edu

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USC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

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