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Eeg Neural Signal Processing Jobs (NOW HIRING)

HID Algorithms Engineer

Cupertino, CA · On-site

$98K - $133K/yr

... in signal processing and machine learning, including areas such as time-series analysis, digital filtering, feature extraction, classification, regression, or neural network-based inference ...

This role offers hands-on experience with state-of-the-art neural decoding technology while working ... Knowledge of signal processing for data preprocessing and analysis * Familiarity with EEG or other ...

RF Cyber Lab Intern

Pittsburgh, PA · On-site

$14.50 - $19.50/hr

Position Summary: We seek an intern with knowledge of temporal neural network design as well as the fundamentals of digital signal processing to help develop and refine novel detection and ...

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Eeg Neural Signal Processing information

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

As of Jul 8, 2026, the average hourly pay for eeg neural signal processing in the United States is $34.48, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $40.38 per hour, depending on experience, location, and employer.

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 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, and why are they important?

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 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.

More about Eeg Neural Signal Processing jobs
What cities are hiring for Eeg Neural Signal Processing jobs? Cities with the most Eeg Neural Signal Processing job openings:
What states have the most Eeg Neural Signal Processing jobs? States with the most job openings for Eeg Neural Signal Processing jobs include:
What job categories do people searching Eeg Neural Signal Processing jobs look for? The top searched job categories for Eeg Neural Signal Processing jobs are:
Infographic showing various Eeg Neural Signal Processing job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 77% Full Time, 10% Part Time, 8% Contract, and 1% Summer. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $71,720 per year, or $34.5 per hour.

Signal Processing Developer - American Football (C++/Python)

TrackMan A/S

East Rutherford, NJ • On-site, Remote

Full-time

Re-posted 27 days ago


Job description

Software Developer, driving innovation in American Football. With an entrepreneurial mindset and a desire to revolutionize sports performance technology, come join our New Sports Tracking Team!
Trackman is looking for a Signal Processing Software Developer to join our New Sports team. As we are looking to become an integral part of American football in NFL stadiums, we seek a software developer with signal processing experience based in the US. As a member of our team within the Tracking department, you'll work with cutting-edge radar and computer vision-based tracking technologies, delivering accurate tracking data through tasks such as:
  • Design and implement signal processing and tracking algorithms
  • Lead new feature design on American football
  • Fuse radar signals with video and other sensors
  • Create offline evaluation tools, datasets, and accuracy metrics
  • Optimize for real-time performance and robustness
  • Integrate algorithms into modular, testable components

Trackman specializes in creating state-of-the-art radar and vision solutions. These solutions are the gold standard in sports like golf, baseball, American football, and soccer. This role is for the scientist and engineer who is passionate about turning complex physical models into high-performance, production-ready code.
What do we offer?
  • Highly skilled colleagues and a collaborative culture
  • Real product impact in elite sports training
  • An opportunity to work with one of the most advanced and robust tracking systems in the world.
  • International environment

  • MSc or PhD in electrical engineering, computer science, applied math or similar
  • Strong signal processing skills
  • Proficient in C++ and Python for production code
  • Several years of relevant industry or research experience
  • Comfortable with Linux and Git
  • US based with some expected travel (+40 days) to Denmark or US venues

Our ideal candidates for this position possess significant experience in leading project development and classical signal processing.
What could also be relevant?
  • Project experience from the audio or medical industry
  • Real-time distributed design patterns and code reuse
  • Machine learning and neural networks
  • Mathematical modeling
  • Software testing frameworks
  • Interest in American football

Remote office:
The position is a remote position in the Tri-state area, but we expect you to travel to Trackman Innovation Center in Denmark occasionally, or NFL Stadiums.
Join the home of a powerful sports brand and a one-of-a-kind technology
Our proprietary technology is based on expert knowledge about radar, computer vision, data, and software engineering. Our solutions are developed by specialists who endlessly explore and challenge new technical boundaries. Trackman's blend of cutting-edge technology, sports, and continued growth make our company an outstanding place to work.
Our work culture is entrepreneurial, ambitious, and rewarding as you get to collaborate with inspiring colleagues and interact with the leaders of golf, baseball, and football. Based on a unique brand reputation, we are proud to work in close partnership with the top athletes, organizations, and teams that rely on our technology to stay ahead of the race.
We are a Danish company founded, owned, and managed since 2003 by three entrepreneurs with a strong passion for sports. Today, we have a global footprint with our headquarters located in Denmark (Hørsholm) and offices in New York, Phoenix, Seoul and Tokyo. We employ over 1000 people worldwide, half of which work in Denmark, where most hardware and software products are developed, tested, and manufactured.
Where innovation happens
At Trackman, we know that great people make great products. We believe that teams thrive, and innovation sparks in an atmosphere where people are encouraged to think for themselves, where everybody's voices are heard, and where the best ideas prevail in the pursuit of exceptional solutions. This mix makes Trackman an inspiring company - for our customers and colleagues.
Share our Passion!
Applications are continuously assessed, so please send your application as soon as possible.