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Neural Engineering Jobs in Baltimore, MD (NOW HIRING)

TechINT Solutions Group, LLC

Senior Engineer

Baltimore, MD

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform analysis and reverse engineering of state of the art sensing electronics. * Develop ... Neural Networks, and sensing circuits. * Experience with tools/skill sets to include: Software ...

TechINT Solutions Group, LLC

Senior Engineer

Baltimore, MD · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform analysis and reverse engineering of state of the art sensing electronics. Develop ... Neural Networks, and sensing circuits. Experience with tools/skill sets to include: Software ...

Survice

Multidisciplinary Software Engineer

Churchville, MD · On-site

$90K - $110K/yr

  • Retirement

  • PTO

Artificial Intelligence/Machine Learning (AI/ML), Neural Networks, or computer vision About Us SURVICE Engineering is a nationally recognized, single-source engineering service provider for ...

TechINT Solutions Group, LLC

Electrical Engineer

Baltimore, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job# T1410 Perform analysis and reverse engineering of state of the art sensing electronics ... Neural Networks, and sensing circuits. Benefits TechINT Solutions Group recognizes the need to ...

Leidos

Enterprise Architect

Baltimore, MD · On-site

$68.50 - $88.50/hr

Machine Learning, Deep Learning, Neural Networks, Python, Natural Language Processing, Prompt Engineering, and Data Management and Preprocessing. If this sounds like a mission you want to be a part ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Aug 13, 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 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.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary 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 field is expected to expand as neurotechnology advances and healthcare needs increase.

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 technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

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 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.
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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 5% Internship, 77% Full Time, and 18% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $39,919 per year, or $19.2 per hour.

Principal AI Software Engineer (TS/SCI + Poly)

Aperio Global

Fort George G Meade, MD • On-site

$149K - $200K/yr

Full-time

Re-posted 18 days ago

Job description

We are seeking a Principal AI Software Engineer to support the exciting Corporate Directory Services mission. You will work closely with mission stakeholders to lead the development of advanced Artificial Intelligence and Machine Learning (AI/ML) solutions, intelligence mission workflows, and emerging analytic capabilities. This role is responsible for designing, developing, prototyping, and operationalizing AI-enabled applications that automate complex intelligence processes, discover emergent intelligence value, and accelerate mission outcomes. You will also  work across multiple technical domains including software engineering, data science, machine learning, and large language model (LLM) integration to deliver innovative capabilities from proof-of-concept through operational deployment.

Mission Focus:

Collaborate closely with customers to drive the rapid development, evaluation, and transition of AI/ML-enabled mission capabilities that enhance operational analysis and intelligence workflows. Leverage emerging technologies, scalable software architectures, and advanced analytics to automate discovery, accelerate insight generation, and deliver production-ready solutions across diverse mission domains. Shape technical strategy and best practices to ensure effective deployment, sustainment, and evolution of AI-enabled mission systems

Technical Proficiency:

Proficient in current AI/ML technologies such as classification, clustering, collaborative filtering, search, and retrieval using techniques such as but not limited to  deep neutral networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc. Experience in current large language models (LLM) for representative and generative tasks.

Qualifications:

Bachelor's degree plus 11-years of relevant experience or equivalent. Proficiency with object-oriented languages (JAVA, Python) and experience with Jupyter Notebooks

Security Clearance: Active TS/SCI with Polygraph required (CCA) 


Nice To Have:

Proficiency in approaches to retrieval augmented generation (RAG), model context protocol (MCP) and other recent technologies supporting agentic AI. Foundational knowledge of statistics related to parametric probability distributions, nonparametric probability distributions, Bayesian analysis, and covariance matrices. Proficiency in agentic systems that can automatically carry out mission goals with limited supervision.

Salary Range: 207,000-227,000

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