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Neural Engineer Jobs in Maryland (NOW HIRING)

Design and train novel deep neural network architectures from scratch for a variety of ... Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.

New

Design and train novel deep neural network architectures from scratch for a variety of ... Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Design and train novel deep neural network architectures from scratch for a variety of ... Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.

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

AI Software Engineer-Principal

Annapolis, MD · On-site

$133K - $179K/yr

We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver ... Experience with modern deep learning architectures, including deep neural networks (DNNs ...

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 Engineer information

See Maryland salary details

$57.7K

$108.3K

$197K

How much do neural engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for neural engineer in Maryland is $108,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $128,600.00 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 Maryland?

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

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

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

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

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

What cities in Maryland are hiring for Neural Engineer jobs?

Cities in Maryland with the most Neural Engineer job openings:

Infographic showing various Neural Engineer job openings in Maryland as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $108,343 per year, or $52.1 per hour.

Senior Application Developer with Security Clearance

Neural Solutions

Columbia, MD • On-site

$204K - $247K/yr

Other

Re-posted 9 days ago


Job description


You will design, develop, prototype, modify, and integrate solutions to provide mission-centric results as part of up-and-coming projects at Neural Solutions. This role involves working closely with analysts, operators, data scientists, and other software engineers to offer tactical support. Responsibilities: * Augment existing toolsets.
* Derive, document, and analyze requirements for mission operations. Required Skills: * Produce and modify software systems in C/C++/Python/Assembly.
* In-depth understanding of network protocols (e.g., TCP/IP) and analysis of network traffic using tools like Wireshark. Nice to Have: * Experience with reverse engineering Windows or embedded platforms (RTOS).
* Familiarity with signals intelligence collection and analysis systems. Experience Required: 12 years with Bachelor’s degree in technical field, or 10 years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $204,000 - $247,000