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Neural Signal Processing Jobs in Chicago, IL (NOW HIRING)

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 ...

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

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

Neural Signal Processing information

See Chicago, IL salary details

$55.1K

$135.3K

$199.3K

How much do neural signal processing jobs pay per year?

As of Jul 26, 2026, the average yearly pay for neural signal processing in Chicago, IL is $135,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $151,900.00 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 near Chicago, IL are hiring for Neural Signal Processing jobs? Cities near Chicago, IL with the most Neural Signal Processing job openings:
Senior Embedded Software Engineer, DSP

Senior Embedded Software Engineer, DSP

OceanComm, Inc.

Chicago, IL • On-site

$140K - $175K/yr

Full-time

PTO

Posted 25 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.