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Executive Brain Computer Interface Jobs (NOW HIRING)

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Orbit is a brain-computer interface company working on improving humans. We've developed non-invasive brain stimulation devices which help humans sleep, reason, and improve their mood. We're a team ...

... brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses ...

... brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses ...

About the Role As a Research Intern , you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection ...

... brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses ...

... brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses ...

Head of PR

Palo Alto, CA · On-site

$180K - $260K/yr

The Opportunity Subsense is building a category-defining Brain-Computer Interface - and we're looking for a Marketing Lead who will make sure the world knows it . In this role, you will own how our ...

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Executive Brain Computer Interface information

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$26.5K

$93.6K

$184K

How much do executive brain computer interface jobs pay per year?

As of May 30, 2026, the average yearly pay for executive brain computer interface in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.
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Infographic showing various Executive Brain Computer Interface job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 74% Full Time, 15% Part Time, 1% Temporary, and 9% Contract. Highlights an 73% Physical, 10% Hybrid, and 17% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
XR Brain-Computer Interface Research Intern

XR Brain-Computer Interface Research Intern

Cognixion

Santa Barbara, CA • On-site

$30/hr

Full-time

Posted 21 days ago


Job description

XR Brain-Computer Interface Research Intern
Cognixion Inc. is seeking a motivated research intern to support our cutting-edge XR/AR brain-computer interface platform development. This hands-on role offers unique exposure to clinical neurotechnology applications and rapid prototyping in an innovative startup environment.
This position will be based in Cognixion's Santa Barbara, CA office and follows a hybrid work schedule with 3 days/week in the office.
Primary Responsibilities:
  • Rapidly prototype and iterate software solutions for EEG-based brain-computer interface systems
  • Support clinical study activities including participant coordination, data collection, and site visits
  • Process and analyze EEG data to inform product development and clinical validation

Required Qualifications:
  • Strong Python programming skills with experience in data processing pipelines
  • Working knowledge of EEG signal processing and analysis techniques
  • Foundational understanding of neuroscience and/or neurology principles
  • Ability to work in fast-paced environment with quick iteration cycles
  • Comfortable with participant-facing activities and occasional travel for site visits

Preferred Qualifications:
  • Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch)
  • Familiarity with Unity development for XR
  • Background in assistive technology or accessibility applications
  • Understanding of clinical research protocols and IRB compliance
  • Hands on experience with multiple XR devices

This position offers hands-on experience at the intersection of neurotechnology, augmented reality, and assistive communication devices. Ideal for students pursuing careers in biomedical engineering, neuroscience, or human-computer interaction.