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Eeg Neural Signal Processing Jobs in Silver Spring, MD

Senior AI Defense Engineer

Washington, DC · On-site

$129K - $177K/yr

... processes. * AI Defense Engineering - Evaluate and operationalize security controls, guardrails ... Strong understanding of neural network frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex) or ...

Senior AI Defense Engineer

Washington, DC

$129K - $177K/yr

... neural networks, expert systems, retrieval-augmented generation, classification models, etc ... processes. * AI Defense Engineering - Evaluate and operationalize security controls, guardrails ...

Senior AI Defense Engineer

Washington, DC · On-site

$129K - $177K/yr

... processes. * AI Defense Engineering - Evaluate and operationalize security controls, guardrails ... Strong understanding of neural network frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex) or ...

Showing results 41-59

Eeg Neural Signal Processing information

See Silver Spring, MD salary details

$18

$35

$56

How much do eeg neural signal processing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for eeg neural signal processing in Silver Spring, MD is $35.65, according to ZipRecruiter salary data. Most workers in this role earn between $27.36 and $41.73 per hour, depending on experience, location, and employer.

What is EEG neural signal processing?

EEG neural signal processing refers to the analysis and interpretation of electrical activity in the brain as recorded by electroencephalography (EEG). This process involves filtering, amplifying, and extracting meaningful features from the raw EEG signals to study brain function, diagnose neurological disorders, or develop brain-computer interfaces. Researchers and clinicians use various computational techniques to separate noise from actual brain signals, enabling a better understanding of brain activity and aiding in medical or research applications.

What are the key skills and qualifications needed to thrive as an EEG neural signal processing specialist?

To thrive as an EEG Neural Signal Processing specialist, you need a solid background in neuroscience, signal processing, and programming, typically supported by a degree in biomedical engineering, neuroscience, or related fields. Familiarity with technical tools such as MATLAB, Python, EEGLAB, and experience with EEG acquisition systems are essential. Strong analytical thinking, problem-solving skills, and clear communication help you interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for accurately analyzing neural signals, advancing research, and ensuring reliable outcomes in clinical or research settings.

What are some common challenges faced when processing EEG neural signals, and how can professionals address them in their daily work?

One of the main challenges in EEG neural signal processing is dealing with noise and artifacts, such as those caused by eye movements or muscle activity, which can obscure the true neural signals. Professionals often use specialized filtering techniques and artifact rejection algorithms to clean the data before analysis. Additionally, interpreting the complex and high-dimensional EEG data requires a solid understanding of both neuroscience and advanced signal processing methods. Collaborating closely with neuroscientists, clinicians, and software engineers is crucial for refining analysis pipelines and ensuring meaningful results.

What is the difference between Eeg Neural Signal Processing vs Neurophysiologist?

AspectEeg Neural Signal ProcessingNeurophysiologist
Required CredentialsTypically requires a degree in neuroscience, biomedical engineering, or related fields; certifications in signal processing are a plusRequires advanced degrees (PhD or MD), specialized training in neurophysiology, and often board certification
Work EnvironmentResearch labs, hospitals, or tech companies focusing on brain signal analysisHospitals, clinics, research institutions conducting neurological assessments
Industry UsagePrimarily in research, medical device development, and data analysisClinical diagnosis, patient care, and neurological research

While Eeg Neural Signal Processing focuses on analyzing brain signals using signal processing techniques, Neurophysiologists perform clinical assessments and interpret neurological data. Both roles require a strong background in neuroscience, but neurophysiologists typically have more clinical responsibilities and advanced medical credentials.

What are popular job titles related to Eeg Neural Signal Processing jobs in Silver Spring, MD?

For Eeg Neural Signal Processing jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Eeg Neural Signal Processing jobs in Silver Spring, MD look for?

The top searched job categories for Eeg Neural Signal Processing jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Eeg Neural Signal Processing jobs?

Cities near Silver Spring, MD with the most Eeg Neural Signal Processing job openings:

Real-Time Software Engineer with Security Clearance

Booz Allen Hamilton

Fairfax, VA • On-site

$86K - $198K/yr

Other

Medical, Life, Retirement, PTO

Posted 2 days ago

New


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description

Job Number: R0247301 Real-Time Software Engineer The Opportunity: Are you excited to apply RF theory to critical national security missions? Your expertise in RF digital signal processing software development will be critical to integrate, test, and evaluate RF software applications. Apply core principles, theories, and concepts to provide effective solutions for practical applications. Solve complex technical problems and deliver innovative solutions. Operate with substantial independence and provide oversight or mentorship for your team's technical competencies. Collaborate effectively with minimal supervision, overseeing and mentoring junior employees as needed. This is a hands-on engineering role focused on real-time software, including embedded systems, distributed systems, and hardware-software integration. You will work across software applications for RF applications which require and understanding of embedded software, firmware, distributed software, and machine learning to successfully execute. You will be debugging at every layer, from software behavior to system-level interactions in deployed hardware. Join us. The world can't wait. You Have: * 6+ years of experience with software development languages, including Python, C, or C++
* Experience with the design, development, and testing of real-time software
* Experience with microservice architectures and tools such as Kubernetes or Docker, and optimizing applications for distributed environments
* Experience using Agile processes and tools, including Jira or Confluence, and using version control, including GitHub
* Experience developing software and firmware for embedded systems, such as SCPI, Ethernet, and Serial integration
* Ability to work in a team environment to brainstorm and innovate new ideas
* Ability to obtain a TS/SCI clearance
* Bachelor's degree in a STEM field Nice If You Have: * Experience leading and managing small to medium-sized engineering, integration, and testing projects
* Experience using Windows and Linux systems; experience porting software from Windows to Linux, including compiling and cross-compiling libraries as needed
* Experience with UI development, including Javascript, Rust, Angular, React
* Experience with machine learning packages and building and testing neural network architectures using TensorFlow, Keras, or PyTorch
* Experience with firmware development languages such as VHDL, Verilog, or CoreFire
* Experience with RF theory, software defined radios, Low noise amplifiers
* TS/SCI clearance
* Master's degree in a STEM field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Skills Assessment As part of Booz Allen's skills first hiring process, candidates must complete the required skills assessment to ensure they meet the Basic Qualifications for this role. Candidates must complete the assessment and meet the minimum proficiency threshold to continue in the hiring process. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
* Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
* Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914