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Neural Engineering Jobs in Washington (NOW HIRING)

Software Developer

Sterling, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Expertise in computer architecture and design, software engineering concepts, and AI/ML application ... Proficiency in data science, deep learning, and neural networks. * Ability to travel to local ...

Expertise in computer architecture and design, software engineering concepts, and AI/ML application ... Proficiency in data science, deep learning, and neural networks. * Ability to travel to local ...

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

AI-ML Developer

Ashburn, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in computer science, Information Technology Management or Engineering is ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...

Graphics Software Engineer

College Park, MD · On-site

$138K - $171K/yr

... neural rendering, generative medical visualization, real-time inference, and data-driven ... Infrastructure and platform engineering: Design, scale, and harden the institute's advanced XR ...

AI-ML Developer

Ashburn, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in computer science, Information Technology Management or Engineering is ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...

Showing results 21-40

Neural Engineering information

See Washington salary details

$12

$21

$33

How much do neural engineering jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for neural engineering in Washington is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $23.70 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.

What are the most commonly searched types of Neural Engineering jobs in Washington?

The most popular types of Neural Engineering jobs in Washington are:

What are popular job titles related to Neural Engineering jobs in Washington?

For Neural Engineering jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Neural Engineering jobs?

Cities in Washington with the most Neural Engineering job openings:

Infographic showing various Neural Engineering job openings in Washington as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $45,501 per year, or $21.9 per hour.

Senior Applied AI Engineer - Software Engineering with Security Clearance

Neural Solutions

Columbia, MD • On-site

$204K - $247K/yr

Other

Posted 15 days ago


Job description


Join a fast-moving Tactical AI team developing production-quality AI applications that accelerate mission workflows through large language models (LLMs), retrieval-augmented generation (RAG), and modern software engineering practices. This position is ideal for an experienced software engineer who enjoys building scalable AI systems while shaping technical direction across the team. Responsibilities: * Design, develop, and maintain production AI-enabled software applications using Python and modern software engineering practices. * Architect and implement LLM-powered workflows, retrieval-augmented generation (RAG) pipelines, and AI agent capabilities that solve mission problems. Required Skills: * Production software development experience using Python. * Experience designing and developing distributed or backend software systems. * Experience building AI-enabled applications using LLMs, retrieval-augmented generation (RAG), AI agents, or similar technologies. * Experience developing REST APIs and integrating multiple data sources. * Experience working with SQL, Elasticsearch, or other data storage technologies. Nice to Have: * Experience with Model Context Protocol (MCP), PydanticAI, LangChain, LlamaIndex, or similar AI frameworks. * Experience deploying applications using Docker, Kubernetes, or containerized environments. 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