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Neural Engineer Jobs in Virginia (NOW HIRING)

Devyantram

Lead Biohybrid Systems Engineer

Ashburn, VA · On-site

$145K - $165K/yr

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 ...

Devyantram

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 ...

Devyantram

Lead Perception & Controls Engineer

Ashburn, VA · On-site

$155 - $175/hr

Its outputs come from biological (organoid-based) and engineered neural substrates coupled with optical processing, and a central part of your job is bridging that unconventional, non-deterministic ...

Devyantram

Lead Perception & Controls Engineer

Ashburn, VA · On-site

$155K - $175K/yr

Its outputs come from biological (organoid-based) and engineered neural substrates coupled with optical processing, and a central part of your job is bridging that unconventional, non-deterministic ...

Cerebras

Staff Kernel Optimzation Engineer

Sterling, VA · On-site

$100 - $150/hr

About The Role As a Kernel Engineer on our team, you will develop high-performance software ... Familiarity with Machine Learning neural networks and frameworks such as TensorFlow and PyTorch.

GRVTY

Expert ML Software Engineer

Springfield, VA · On-site

This ML Engineering role is onsite and combines software engineering and machine learning expertise ... Expert experience developing ML algorithms - supervised/unsupervised learning, neural networks, and ...

Devyantram

Lead Photonics Engineer

Ashburn, VA · On-site

$150K - $170K/yr

Key Responsibilities Photonics Engineering • Design and simulate photonic circuits, waveguides ... interfaces or neural probes. • Advanced research lab or deep-tech startup experience. A ...

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Neural Engineer information

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$110.7K

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How much do neural engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for neural engineer in Virginia is $110,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,400.00 per year, depending on experience, location, and employer.

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 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 does a neural engineer make?

The average salary for a neural engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals in this field often hold advanced degrees in neuroscience, engineering, or related areas and work in research institutions, healthcare, or tech companies specializing in brain-computer interfaces and neural technologies.

Is neural engineering a good career?

Neural engineering is a growing field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovative medical solutions and interdisciplinary work.

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 are the most commonly searched types of Neural Engineer jobs in Virginia?

The most popular types of Neural Engineer jobs in Virginia are:

What are popular job titles related to Neural Engineer jobs in Virginia?

For Neural Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Neural Engineer jobs in Virginia look for?

The top searched job categories for Neural Engineer jobs in Virginia are:

Neural Engineer jobs near you
Infographic showing various Neural Engineer job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $110,674 per year, or $53.2 per hour.

Lead Biohybrid Systems Engineer

Devyantram

Ashburn, VA • On-site

$145K - $165K/yr

Full-time

Re-posted 19 days ago

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)

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