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Brain Computer Interface Jobs (NOW HIRING)

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

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 ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

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 ...

Neuralink

Neuroengineer, Next Gen

Fremont, CA

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between ...

Neurable, INC

Software Developer

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial ...

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How much do brain computer interface jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for brain computer interface in the United States is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $62.50 per hour, depending on experience, location, and employer.

What is a Brain Computer Interface job?

A Brain-Computer Interface (BCI) job involves developing systems that enable direct communication between the brain and external devices. Professionals in this field work on hardware and software to interpret neural signals, often for medical, assistive, or neurotechnology applications. Roles can include research, software engineering, signal processing, and machine learning to improve BCIs' accuracy and functionality. These jobs are common in healthcare, neuroscience, gaming, and AI-driven human augmentation industries.

What are the key skills and qualifications needed to thrive in the Brain Computer Interface position, and why are they important?

To thrive in a Brain Computer Interface role, you typically need a strong background in neuroscience, biomedical engineering, or computer science, coupled with experience in signal processing and neural data analysis. Familiarity with tools such as MATLAB, Python, EEG/MEG systems, and relevant certifications in neurotechnology are highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential for working on multidisciplinary teams and translating research into practical applications. These skills ensure that you can design, develop, and refine advanced BCI systems that meet both technical and user needs in this rapidly evolving field.

What are some common challenges faced by professionals working in Brain Computer Interface roles?

Professionals in Brain Computer Interface roles often face challenges related to accurately interpreting complex neural signals, minimizing noise in data, and ensuring that BCI systems are intuitive for end-users. They frequently collaborate with neuroscientists, engineers, software developers, and clinicians to overcome technical and usability barriers. Balancing research innovation with real-world applicability can be demanding, and staying current with rapidly advancing technology is essential. These challenges make the field dynamic and rewarding for those passionate about shaping the future of human-computer interaction.
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Brain Computer Interface jobs near you
Infographic showing various Brain Computer Interface job openings in the United States as of May 2026, with employment types broken down into 9% Full Time, 81% Part Time, 5% Temporary, and 5% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $114,265 per year, or $54.9 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 26 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.

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