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Eeg Neural Signal Processing Jobs in Illinois (NOW HIRING)

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

Track and evaluate emerging research in neural architecture search, machine learning systems and ... real-time signal processing, or similar domains * Familiarity with functional verification ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Track and evaluate emerging research in neural architecture search, machine learning systems and ... real-time signal processing, or similar domains * Familiarity with functional verification ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Track and evaluate emerging research in neural architecture search, machine learning systems and ... real-time signal processing, or similar domains * Familiarity with functional verification ...

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Eeg Neural Signal Processing information

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 Illinois?

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

What job categories do people searching Eeg Neural Signal Processing jobs in Illinois look for?

The top searched job categories for Eeg Neural Signal Processing jobs in Illinois are:

What cities in Illinois are hiring for Eeg Neural Signal Processing jobs?

Cities in Illinois with the most Eeg Neural Signal Processing job openings:

Eeg Neural Signal Processing jobs near you
Infographic showing various Eeg Neural Signal Processing job openings in Illinois as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Senior Embedded Software Engineer, DSP

OceanComm, Inc.

Chicago, IL • On-site

$140K - $175K/yr

Full-time

PTO

Re-posted 21 days ago

Job description

Underwater communication is one of the hardest wireless problems on Earth. Radio waves attenuate quickly underwater, so our systems use sound, much like whales and dolphins, to transmit high-bandwidth data, including video. We are looking for engineers excited by challenging embedded DSP problems where algorithms, firmware, electronics, mechanics, and real-world operating conditions all have to work together.

This is a high-ownership role on a small, quickly growing team. You will not be one engineer among hundreds working on a narrow subsystem; you will have direct visibility into the full product, from modem firmware and acoustic signal processing to undersea drones and customer deployments.

About Us

Underwater, the wireless transfer of a single picture used to take an hour. OceanComm brought to market wireless modems that transfer data 100 to 1,000 times faster. Legacy modems were largely status and command links; our modems can control undersea drones with live video feedback, fundamentally changing what operators can see, decide, and do underwater. Leading organizations in defense, offshore energy and oceanographic research rely on OceanComm to keep their undersea systems connected.

What You Will Do
  • Develop and maintain real-time embedded C/C++ code for core components of OceanComm’s acoustic modem firmware, owning features from concept through deployment
  • Provide technical leadership through exemplary code and design judgment that others trust and want to build on
  • Implement, optimize, and validate advanced acoustic signal processing algorithms
  • Collaborate with electrical, mechanical, systems, and field teams to define interfaces and verify system performance
  • Develop tests, tools, and procedures for firmware validation, hardware bring-up, production test, troubleshooting, and repair
  • Help evaluate tradeoffs in performance, reliability, complexity, schedule, cost, and risk
  • Help improve engineering culture, communication, and technical standards as the team grows

Requirements

  • B.S. or M.S. in Electrical Engineering, Computer Engineering or related discipline
  • 5+ years of experience developing embedded real-time systems with C/C++
  • Proficiency in developing DSP software for real-time systems
  • Solid knowledge of linear algebra, signal processing theory, algorithms, and implementation techniques (filters, transforms, synchronization, estimation, etc.)
  • Experience drafting technical documentation
  • Strong written and verbal communication skills
  • U.S. Person
What Will Put You Ahead
  • Experience with underwater acoustic communications, sonar, modem design, SDR, RF communications, or similar signal-processing systems
  • Experience optimizing DSP algorithms for embedded platforms, including fixed-point, floating-point, memory, latency, or power constraints
  • Experience with machine learning models deployed on embedded platforms
  • Experience designing domain-specific deep neural networks
  • Experience with analog and mixed-signal integrated circuits, e.g., low-noise amplifiers, analog-to-digital converters, and integrated analog-front-ends

Benefits

  • Competitive base salary and incentive stock options
  • Paid vacation starting at 20 days per year, increasing with tenure
  • Paid sick leave with carryover
  • Flexible schedule with core hours
  • Close mentorship from experienced engineers and technical leaders
  • Professional development support for conferences, books, courses, or technical training
  • Hands-on work with advanced acoustic, embedded, and undersea robotics hardware
Compensation

The pay range for this position is $140,000 – $175,000 per year. Actual pay will depend on the candidate’s experience and skills demonstrated during interviews and other evaluations.

OceanComm is an Equal Opportunity Employer, including disability/vet.