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Neural Engineering Jobs in Maryland (NOW HIRING)

Quid, Inc.

Staff Deep Learning Engineer

Columbia, MD · On-site

$185 - $235/hr

... 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 ...

Quidient

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 ...

Quidient

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 ...

Dcode Talent LLC

GenAI Engineer

Woodlawn, MD · On-site

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

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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 with Security Clearance

Neural Solutions

Columbia, MD • On-site

$204K - $247K/yr

Other

Re-posted 22 days ago

Job description

Hybrid Analyst/Developer As part of Neural Solutions, you will utilize your experience with large language models (LLMs) and AI-integrated Python pipelines to drive mission-critical initiatives. You will be involved in every stage of the development lifecycle for new tools and plugins, focusing on architecting agentic Python automations, conducting vulnerability research, and analyzing complex technical data. Responsibilities: * Design and deploy agentic AI workflows that leverage autonomous planning and tool-use to streamline internal operations and improve system efficiency.
* Conduct security analysis.
Required Skills: * Deep experience leveraging LLMs to solve complex problems, including expertise in prompt engineering and model optimization.
* Proven ability to integrate AI into automated pipelines and production workflows using APIs and orchestration tools.
* Strong Python experience.
* Data parsing/manipulation.
* Networking knowledge and protocols.
* Experience with open source research.
* Knowledge of end-to-end signals intelligence collection and analysis systems.
* Familiarity with Git.
* Atlassian Tools (Jira, Confluence).
Nice to Have: * Experience with production advanced security operations capabilities and operations.
Experience Required: 12 years with Bachelor's degree in a technical field, or 16 years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $204,000 - $247,000 Questions about this role or want to learn more about Neural Solutions?
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