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Neural Engineering Jobs in Baltimore, MD (NOW HIRING)

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

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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How much do neural engineering jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for neural engineering in Baltimore, MD is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $20.77 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 are the most commonly searched types of Neural Engineering jobs in Baltimore, MD?

The most popular types of Neural Engineering jobs in Baltimore, MD are:

What job categories do people searching Neural Engineering jobs in Baltimore, MD look for?

The top searched job categories for Neural Engineering jobs in Baltimore, MD are:

Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Baltimore, MD 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 $39,919 per year, or $19.2 per hour.

AI Software Engineer-Principal

NetSage

Annapolis, MD • On-site

$133K - $179K/yr

Full-time

Re-posted 7 days ago

Job description

At NetSage, we are more than a government contractor-we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page.
Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact.
Job Description:
We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence analysis and operational decision-making. In this role, you will lead the development and operationalization of advanced AI-enabled applications integrating machine learning, large language models (LLMs), and modern software engineering practices to automate complex workflows and deliver mission-focused capabilities. The ideal candidate for this position will possess deep expertise in AI/ML technologies, software architecture, and cloud-native application development, with a proven ability to translate emerging technologies into scalable, operational solutions. Please consider applying if you meet the following qualifications.
Required Qualifications:
  • TS/SCI with polygraph security clearance.
  • A Bachelor of Science (B.S.) degree in Computer Science or a related field and eleven (11) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and seven (7) years, a Master of Science (M.S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of relevant experience.
  • Proficiency with object-oriented languages like Java and Python.
  • Experience designing and developing AI/ML applications using modern software engineering methodologies.
  • Experience working with LLMs and generative AI technologies.
  • Experience with modern deep learning architectures, including deep neural networks (DNNs), recurrent neural networks (RNNs), and attention-based architectures.
  • Experience with ML techniques, including classification, clustering, collaborative filtering, semantic search, and information retrieval.
  • Experience using Jupyter Notebooks.

Desired Qualifications:
  • Experience implementing retrieval-augmented generation (RAG), Model Context Protocol (MCP), and AI agent frameworks.
  • Experience designing autonomous or agentic AI systems.
  • Strong understanding of statistical modeling, probability theory, Bayesian inference, covariance analysis, and machine learning fundamentals.

Apply