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Neural Engineering Jobs in Maryland (NOW HIRING)

NetSage

AI Software Engineer-Principal

Annapolis Junction, MD · On-site

$148K - $198K/yr

... software engineering methodologies. * Experience working with LLMs and generative AI technologies. * Experience with modern deep learning architectures, including deep neural networks (DNNs ...

NetSage

AI Software Engineer-Principal

Annapolis, MD · On-site

$133K - $179K/yr

... software engineering methodologies. * Experience working with LLMs and generative AI technologies. * Experience with modern deep learning architectures, including deep neural networks (DNNs ...

Omm IT Solutions

GenAI Engineer

Ellicott City, MD · On-site

Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing. \n \n \n \n \n \n Position Description: \n \n \n

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for neural engineering in Maryland 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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What cities in Maryland are hiring for Neural Engineering jobs?

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Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Maryland as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $38,991 per year, or $18.7 per hour.

Senior Software Engineer (AI-Assisted Developer Tooling) with Security Clearance

Neural Solutions

Columbia, MD • On-site

$204K - $247K/yr

Other

Re-posted 13 days ago

Job description


This Software Engineer will bring strong reverse engineering skills to a team building automation and AI-assisted tools for advanced security operations and development workflows. You'll help evolve how reverse engineers work — combining binary analysis, disassembly, and workflow optimization with emerging AI techniques — and grow your AI/LLM expertise along the way. Responsibilities: * Design and build tooling enhancements for RE workflows.
* Experiment with autonomous or semi-autonomous agents to support development.
* Automate common RE tasks, including analysis and documentation.
* Apply AI-assisted techniques to binary analysis, annotation, and pattern identification.
* Work directly with customers and teammates to shape and refine solutions.
* Measure and document the effectiveness of tooling improvements.
Required Skills: * Hands-on experience with RE tools such as Ghidra or IDA Pro.
* Strong understanding of low-level concepts: assembly, binaries, memory, calling conventions.
* Reverse engineering Linux-based network devices or embedded systems.
* Familiarity with firmware analysis, bootloaders, and networking protocols.
* Curiosity about AI/LLMs and some hands-on dabbling — ready to deepen that skill set on the job.
* Experience developing tools, scripts, or plugins for analysis workflows.
* Proficiency in at least one RE-relevant scripting or programming language.
Nice to Have: * Some experience applying automation or AI to RE tasks.
* Familiarity with agentic AI frameworks or orchestration systems.
Experience Required: 12 years with Bachelor's degree in a technical discipline, or 16 years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $204,000 - $247,000

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