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Neurotechnology Jobs (NOW HIRING)

This is a hands-on, field-based role where clinical care, cutting-edge neurotechnology, and real-world data converge. You'll work directly with patients, caregivers, and clinical sites--primarily in ...

About Us Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform ...

Senior Forward Deployed Engineer

Boston, MA · On-site

$113K - $156K/yr

A rapidly growing digital health and neurotechnology company is hiring a full-time Forward Deployed Engineer in Boston, MA. This role sits at the intersection of data engineering, customer solutions ...

New

About Us Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform ...

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Neurotechnology information

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How much do neurotechnology jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for neurotechnology in the United States is $37.80, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $41.35 per hour, depending on experience, location, and employer.

What types of projects or technologies might I work on as a neurotechnology professional?

As a neurotechnology professional, you may work on projects involving brain-computer interfaces, neural prosthetics, neuromodulation devices, or advanced neuroimaging systems. Daily tasks could include analyzing neural data, developing algorithms to interpret brain signals, collaborating with clinicians for device testing, and ensuring compliance with regulatory standards. Most teams are highly interdisciplinary, so you’ll often work alongside neuroscientists, engineers, clinicians, and software developers. The diversity of projects provides opportunities to learn new skills and contribute to advancements that can significantly impact patient care and neurorehabilitation.

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

To thrive in Neurotechnology, you need a strong background in neuroscience, biomedical engineering, or a related field, along with proficiency in research methodologies and data analysis. Experience with neuroimaging tools (such as EEG, fMRI), programming languages (like Python or MATLAB), and relevant certifications in neural engineering or medical devices are highly valued. Critical thinking, problem-solving abilities, and effective interdisciplinary communication help professionals excel in collaborative research and development environments. These skills are vital for driving innovation, ensuring safety and efficacy, and successfully translating neurotechnological advancements into real-world applications.

What is a Neurotechnology job?

A Neurotechnology job involves working at the intersection of neuroscience, engineering, and technology to develop tools that interact with the nervous system. Professionals in this field may work on brain-computer interfaces (BCIs), neuroprosthetics, medical imaging, or neurorehabilitation devices. Roles can range from research and development to clinical applications, requiring expertise in neuroscience, engineering, AI, and data analysis. These jobs are found in academia, healthcare, biotech, and tech industries, aiming to enhance brain function, treat neurological disorders, or improve human-computer interactions.

More about Neurotechnology jobs
What cities are hiring for Neurotechnology jobs? Cities with the most Neurotechnology job openings:
What are the most commonly searched types of Neurotechnology jobs? The most popular types of Neurotechnology jobs are:
What states have the most Neurotechnology jobs? States with the most job openings for Neurotechnology jobs include:
XR Brain-Computer Interface Research Intern

XR Brain-Computer Interface Research Intern

Cognixion

Santa Barbara, CA • On-site

$30/hr

Full-time

Re-posted 13 hours 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.