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Neural Signal Processing Jobs in Springfield, VA

Sierra Nevada Corporation

Sr AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Develop signal processing, perception, and planning pipelines supporting MPC control loops. * Use ... Demonstrated ability to design and optimize generative AI models (e.g., transformers) and neural ...

Booz Allen Hamilton

Real-Time Software Engineer

Mclean, VA · On-site

$86K - $198K/yr

Your expertise in RF digital signal processing software development will be critical to integrate ... Experience with machine learning packages and building and testing neural network architectures ...

WilmerHale

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 ...

Wilmerhale

Senior AI Defense Engineer

Washington, DC · On-site

$129K - $177K/yr

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

WilmerHale

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 ...

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Neural Signal Processing information

See Springfield, VA salary details

$55.9K

$137.2K

$202.1K

How much do neural signal processing jobs pay per year?

As of Sep 9, 2026, the average yearly pay for neural signal processing in Springfield, VA is $137,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $154,100.00 per year, depending on experience, location, and employer.

What is neural signal processing?

Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.

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

To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.

What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?

Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.

What is the difference between Neural Signal Processing vs Neural Data Analyst?

AspectNeural Signal ProcessingNeural Data Analyst
Required CredentialsBackground in neuroscience, signal processing, programming (Python, MATLAB)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, healthcare, neurotechnology companiesData-focused roles in research institutions, healthcare, biotech
Industry UsageDesigning algorithms for neural signals, signal decodingAnalyzing neural data sets, interpreting results

Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.

Neural Signal Processing jobs near you

Research SME - AI/ML Pool

Bethesda, MD • On-site

Bluemont Technology & Research, Inc.
IT Services • 11 - 50 employees
Learn more about Bluemont Technology & Research, Inc.external

Full-time

Re-posted 7 days ago

Job description

JOB TITLE: Research SME - AI/ML OD Analysis Pool
LOCATION: Bethesda, Maryland
CLEARANCE: Must have current TS/SCI with CI Poly.
JOB RESPONSIBILITIES:
• Attend meetings, workshops, conferences and testing events as a Subject Matter Expert.
• Assist with the development of presentations such as Program Management Reviews.
• Serve as a Liaison between Performers, Test & Evaluation contributors, Government and Transition partners.
• Review, provide analysis, and make recommendations concerning technical reports, data and Performer approaches.
• Select, establish, curate, and maintain collaborative communication, issue tracking, and configuration environments for use by the program.
• Provide reach-back support for program related requirements for systems integration, design, development, modeling and simulation, data analytics and architecture design.
• Examine data sources and literary sources for emerging technology related to the Program.
• Provide technical support and expertise on new concepts beyond the Program but integral to the Program's success.
THRESHOLD (REQUIRED) EXPERTISE:
  • Must have current Top Secret/SCI (Tier 5+) with CI Poly clearance.
  • Bachelor's degree in physics, mathematics, computer science, or relevant engineering fields (i.e., electrical, computer, biometrics, systems, mechanical, software) with eight plus (6+) years of work experience in one of these fields, or Masters' degree with two plus (2+) years of work experience.
  • Two (2) years' experience with test-driven development, automated unit testing, and data and configuration management.
  • Two (2) years' experience with R&D of image processing, computer vision, natural language processing, biometrics, and/or software engineering.
  • One (1) years' experience managing multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) teams.
  • One (1) years' experience with R&D of machine learning or deep neural network algorithms.
  • Two (2) years' experience creating program plans, work breakdown structures, and milestone schedules.
  • One (1) years' experience with technical evaluation and assessment techniques.
  • Experience with Agile program management and systems development processes, including integrated testing.
  • The writing sample shall not exceed one (1) page and shall demonstrate the ability to communicate technical content (The sample may not be from a co-authored paper. As an example, the writing sample may be from a technical memo, technical email, thesis, or originally).

OBJECTIVE (DESIRED) EXPERTISE (THE ITEMS BELOW ARE PRIORITIZED IN ORDER OF IMPORTANCE):
  • Masters' degree or PhD in physics, mathematics, computer science, or relevant engineering fields (i.e., electrical, computer, biometrics, systems, mechanical, software) with four plus (4+) years of work experience.
  • Two (2) years' experience in the development of image and video analytics.
  • Two (2) years' experience in the Intelligence Community (IC), including experience with requirements, CONOPS, and transition.
  • Two (2) years' experience with planning, organizing, and executing field data collections.
  • SaFE Scaled Agilist (SA) certification, PMI Agile Certified Practitioner (PMI-ACP), Scrum Master, or other agile management certification.
  • Two (2) years' experience with utilization, development and management of commercial cloud environments.
  • One (1) years' experience as a Project Manager or Deputy Project Manager.
  • One (1) year of work experience in any, some, or all of the following technical skills areas: remote sensing; image compression; audio processing; geolocation; biometrics; signal processing; enhancement of Noisy and/or Degraded data and metadata; classified research; probability and/or operations Research; statistical analysis.

Bluemont Technology & Research, Inc. (Bluemont) offers a premium benefits package. Our culture is based on treating people like you would treat yourself. The company is focused on challenging applications of cutting-edge technologies and data intensive applications. Bluemont maintains a drug-free workplace and performs background checks.
Bluemont is an E-Verify Employer. Follow this link to view: www.dhs.gov/E-Verify

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