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Neural Signal Processing Jobs (NOW HIRING)

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Contribute to development of real-time software systems for neural signal processing and data visualization. * Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Contribute to development of real-time software systems for neural signal processing and data visualization. * Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to ...

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Neural Signal Processing information

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$53.5K

$131.3K

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How much do neural signal processing jobs pay per year?

As of Jul 8, 2026, the average yearly pay for neural signal processing in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

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.

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 are the key skills and qualifications needed to thrive as a Neural Signal Processing specialist, and why are they important?

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 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 cities are hiring for Neural Signal Processing jobs? Cities with the most Neural Signal Processing job openings:
What states have the most Neural Signal Processing jobs? States with the most job openings for Neural Signal Processing jobs include:
Neural Signal Processing jobs near you
Infographic showing various Neural Signal Processing job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 76% Full Time, 19% Part Time, 1% Contract, and 1% Summer. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.
Lead Algorithm & Signal Processing Engineer

Lead Algorithm & Signal Processing Engineer

STR

Dayton, OH

$157K - $220K/yr

Other

Posted 29 days ago

Job description

About the Team:

The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies.

EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us.

The Role:

As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more.

What You Will Do:

  • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges
  • Design and implement models and simulations for advanced RF systems
  • Lead small teams and projects
  • Support business development and proposal writing efforts
  • Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems

Who You Are:

  • This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government
  • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline
  • 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years)
  • Experience in two or more of the following areas:
    • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping
  • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++
  • Strong mathematical, troubleshooting, written, and verbal communication skills

Even Better:

  • Active Security Clearance
  • Experience with:
    • RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms
    • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
    • Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution
    • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems
    • Ability to create and present briefings to customers and senior management to provide both high-level and deep technical solution explanations

Pay Information
Full-Time Salary Range: $157,000 - $220,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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