1

Neural Engineering Jobs in Washington (NOW HIRING)

... Neural Engineering, Biomedical Engineering, or a related field (Neuroscience, Synthetic Biology, or Materials Science with a bioelectronics focus are all relevant). • 8+ years of hands-on research ...

Lead Bioengineer

Ashburn, VA · On-site

$145 - $165/hr

Develop and maintain engineered neural tissue and biohybrid substrates. * Design and build materials‑based, neural‑emulating substrates using ionic and conducting‑polymer (iontronic) device ...

... engineering, with demonstrated ability to design, train, and evaluate novel neural network architectures from scratch. * Deep domain expertise in at least one of: light transport, deep learning for ...

... engineering, with demonstrated ability to design, train, and evaluate novel neural network architectures from scratch. * Deep domain expertise in at least one of: light transport, deep learning for ...

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

... engineering, with demonstrated ability to design, train, and evaluate novel neural network architectures from scratch. * Deep domain expertise in at least one of: light transport, deep learning for ...

next page

Showing results 1-20

Neural Engineering information

See Washington salary details

$12

$21

$33

How much do neural engineering jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for neural engineering in Washington is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $23.70 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 are the most commonly searched types of Neural Engineering jobs in Washington?

The most popular types of Neural Engineering jobs in Washington are:

What are popular job titles related to Neural Engineering jobs in Washington?

For Neural Engineering jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Neural Engineering jobs in Washington look for?

The top searched job categories for Neural Engineering jobs in Washington are:

What cities in Washington are hiring for Neural Engineering jobs?

Cities in Washington with the most Neural Engineering job openings:

Infographic showing various Neural Engineering job openings in Washington as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $45,501 per year, or $21.9 per hour.

Lead Biohybrid Systems Engineer

Devyantram

Ashburn, VA • On-site

$145K - $165K/yr

Full-time

Re-posted yesterday


Key responsibilities

  • Own the neural substrate of the CEREBRION system, including development, maintenance, and integration of living and engineered neural tissues and biohybrid substrates.

  • Develop and characterize the bioelectronic interface between biological substrates and electronic/optical systems, ensuring reliable coupling and collaboration with other technical leads.

  • Generate foundational intellectual property related to neural and biohybrid systems, lead experimental validation, and mentor the bioengineering team.


Job description

Devyantram is building a unified platform of bionic robots, from nanoscale to humanoid, powered by a bionic brain system that fuses biotechnology, nanotechnology, and AI to tackle global challenges in climate, medicine, and defense.
Role Summary
You will own the neural substrate of the CEREBRION bionic brain system in both its living and engineered, materials-based forms, as well as the bioelectronic interface that couples that substrate to the rest of the system. You define how living and engineered substrates combine into adaptive, learning, durable embodiments, working closely with the photonics, mechatronics, and controls leads on integration.
Key Responsibilities
Neural Substrate (CEREBRION)
• Own the neural substrate of CEREBRION across both its living and engineered, materials-based forms.
• Develop and maintain engineered neural tissue and biohybrid substrates.
• Design and build materials-based, neural-emulating substrates using ionic and conducting-polymer (iontronic) device approaches.
• Partner with the photonics lead on the device-level fabrication and physics of materials-based substrates.
• Support closed-loop learning across the integrated system.
• Establish biosafety, ethics, and reproducibility standards for all living-systems work.
Bioelectronic Interface
• Own the bioelectronic interface between biological substrates and the platform's electronic and optical subsystems.
• Develop and characterize the interface materials and transduction approaches that make that coupling reliable.
• Collaborate with the photonics and controls leads on integration across the interface.
IP & Technical Leadership
• Generate foundational IP across neural and biohybrid systems, ionic and organic-bioelectronic devices, and bioelectronic interfaces.
• Lead invention disclosures and experimental validation in coordination with patent counsel.
• Build and mentor the wet-lab and bioengineering team over time.
Required Qualifications
• MS or PhD in Bioengineering, Neural Engineering, Biomedical Engineering, or a related field (Neuroscience, Synthetic Biology, or Materials Science with a bioelectronics focus are all relevant).
• 8+ years of hands-on research and development experience across living-systems and bioelectronic work.
• A strong living-systems foundation spanning engineered neural tissue, biohybrid systems, and organoids, with demonstrated depth in at least one of these branches.
• Hands-on experience with bioelectronic interfaces, the coupling between neural or biological substrates and electronic or optical systems.
• Experience with ionic and conducting-polymer devices, iontronics, or organic bioelectronics, and the ability to build materials-based, neural-emulating substrates.
• Demonstrated ability to take living or materials-based systems from bench to integrated, reproducible use.
• Strong experimental design and cross-disciplinary communication.
Strongly Preferred
• Organic bioelectronics, iontronics, or neuromorphic materials.
• Organoid, neural-tissue, or biohybrid-computing research.
• Bioelectronic interfaces, neural probes, or brain-machine interfaces.
• Experience bridging wet-lab, hardware, and robotics teams.
A Successful Candidate Will Be Measured By
• Stability, function, and learning capacity of the neural substrate across its living and engineered forms.
• Reliability of the bioelectronic interface across the integrated system.
• Successful integration of living-systems work with the rest of the platform.
• Strength and defensibility of generated biotech and materials IP.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
The pay range for this role is:
145,000 - 165,000 USD per year (Ashburn, VA)