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Neural Interface Engineer Jobs in Chicago, IL (NOW HIRING)

Neural Interface Engineer information

See Chicago, IL salary details

$11.3K

$109.6K

$218.9K

How much do neural interface engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for neural interface engineer in Chicago, IL is $109,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,200.00 and $211,200.00 per year, depending on experience, location, and employer.

What does an interface engineer do?

A neural interface engineer designs and develops systems that connect the human nervous system with electronic devices, often working on brain-computer interfaces or neural implants. They use skills in neuroscience, electrical engineering, and programming, and may work with specialized tools like signal processing software and biocompatible materials. Their work involves testing, troubleshooting, and ensuring safety and functionality of neural interface technologies.

What engineer makes $500,000 a year?

Neural interface engineers, especially those with advanced expertise in neurotechnology, machine learning, and biomedical engineering, can reach or exceed a $500,000 annual salary, often in senior or specialized roles within biotech or tech companies. High compensation typically reflects extensive experience, advanced degrees, and leadership responsibilities in cutting-edge research or product development.

What jobs can you do with neural engineering?

Neural engineers can work in roles such as neural interface developer, biomedical engineer, research scientist, or neurotechnology specialist. These jobs often involve designing brain-computer interfaces, developing neural signal processing algorithms, and working in research labs or medical device companies, requiring skills in neuroscience, engineering, and programming tools like MATLAB or Python.

What is the difference between Neural Interface Engineer vs Brain-Computer Interface Developer?

AspectNeural Interface EngineerBrain-Computer Interface Developer
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Computer Science, Neuroscience, or Biomedical Engineering
Work EnvironmentResearch labs, medical device companies, biotech firmsTech startups, research institutions, healthcare companies
Industry UsageDevelops hardware/software for neural data acquisition and processingDesigns algorithms and interfaces for translating neural signals into commands
Common Search/ComparisonOften compared due to overlapping skills in neural data and hardware developmentRelated but more software-focused

Neural Interface Engineers focus on developing hardware and systems to connect the nervous system with external devices, while Brain-Computer Interface Developers primarily design software algorithms to interpret neural signals. Both roles require knowledge of neuroscience and engineering, but differ in their emphasis on hardware versus software development.

What jobs make $3,000 a month without a degree?

Neural Interface Engineers typically require a relevant degree due to the specialized nature of the work; however, entry-level roles in tech support, sales, or manufacturing related to neural technology may pay around $3,000 monthly without a degree. Skills in electronics, programming, or technical troubleshooting can help qualify for such positions, often requiring certifications or on-the-job training.
What are popular job titles related to Neural Interface Engineer jobs in Chicago, IL? For Neural Interface Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Neural Interface Engineer jobs in Chicago, IL look for? The top searched job categories for Neural Interface Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Neural Interface Engineer jobs? Cities near Chicago, IL with the most Neural Interface Engineer 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 19 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.