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Neural Engineering Jobs in Pittsburgh, PA (NOW HIRING)

Apple

Machine Learning Engineer

Pittsburgh, PA · On-site

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the opportunity to be part of a leading ML innovation organization that develops a wide range of ...

Skild AI

Embedded Security Engineer

Pittsburgh, PA · On-site

... assessments, and collaborating with engineering teams to adhere to security standards ... neural network models. Company : Skild AI develops artificial intelligence systems that enable ...

Apple

Machine Learning Engineer

Pittsburgh, PA

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the opportunity to be part of a leading ML innovation organization that develops a wide range of ...

Duolingo

Staff AI Research Engineer

Pittsburgh, PA

They will have experience at all levels of the ML stack, including feature engineering, developing ... Contribute to the development and training of bandit models and large-scale neural network models.

Duolingo

Senior AI Research Engineer

Pittsburgh, PA

$101K - $139K/yr

They will have experience at multiple levels of the ML stack, including feature engineering ... neural networks, speech recognition, and text-to-speech systems. * Collaborate with cross ...

Pwc

AI & GenAI Data Scientist - Manager

Pittsburgh, PA · 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 ...

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How much do neural engineering jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for neural engineering in Pittsburgh, PA is $18.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.29 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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Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,002 per year, or $18.8 per hour.

Physical Medicine & Rehabilitation - Pitt Only

Pittsburgh, PA

University of Pittsburgh
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Pittsburghexternal

Full-time

Posted 3 days ago

New

Job description

The Department of Physical Medicine and Rehabilitation is currently accepting applications for a full-time doctoral-level faculty researcher. A PhD, MD, or DO in Sciences or Medicine is required to be appointed at the rank of assistant professor in the tenure stream. Our research faculty is invested in conducting rehabilitation-focused research aimed at finding ways to improve the lives of people experiencing the impact of acute injuries and/or chronic conditions and disability. Current active focus areas include spinal cord injury, brain injury, musculoskeletal conditions, pediatric rehabilitation, neuropsychology, assistive technology, neural engineering, and regenerative rehabilitation research. Newly recruited faculty members will be responsible for developing an independent line of externally funded research that builds on or expands the department's current rehabilitation research portfolio. Additional responsibilities may also include contributing to the development of the department's research and educational programs, resident/medical student mentoring, and/or another department service/committee work. The successful candidate must have a doctoral-level degree and demonstrate organizational, communication, teaching, and leadership skills.

Evidence of scholarly productivity is required for appointment in the tenure stream, including teaching and academic service, publications in relevant peer-reviewed journals, and a history of successful funding acquisition. The primary requirement for conferral of tenure is an outstanding record of sustained independent scholarship across these various activities.

Interested candidates should apply to requisition #26003475 at https://www.join.pitt.edu/.

The University of Pittsburgh is an equal opportunity employer.

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