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Internship Brain Machine Interface Jobs (NOW HIRING)

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team spans a wide range of disciplines, from neuroscience and machine learning to software ...

CNC Machinist

South San Francisco, CA · On-site

$42.55 - $75.48/hr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... The Machine Shop is a vital component of Neuralink's mission to develop the world's best and most ...

... brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a ...

... brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a ...

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

... brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a ...

... brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a ...

Supply Chain Intern

Carson, CA

$18.75 - $25.50/hr

Supply Chain Intern Ducommun is seeking summer interns to join our team for a 10-week internship ... Human Machine Interface, Motion ControlDevice, Radiofrequency Departments. Job Summary

Supply Chain Intern

Carson, CA

$18.75 - $25.50/hr

Supply Chain Intern Ducommun is seeking summer interns to join our team for a 10-week internship ... Human Machine Interface, Motion ControlDevice, Radiofrequency Departments. Job Summary

Showing results 21-40

Internship Brain Machine Interface information

See salary details

$25.5K

$42.6K

$88K

How much do internship brain machine interface jobs pay per year?

As of Aug 11, 2026, the average yearly pay for internship brain machine interface in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a brain machine interface internship?

As a Brain Machine Interface (BMI) intern, you'll typically assist with experimental design, data collection, and analysis involving neurophysiological signals, such as EEG or intracortical recordings. You may help develop or test algorithms for signal processing and decoding brain activity, or support the integration of hardware and software systems. Collaboration with neuroscientists, engineers, and software developers is common, so you’ll gain exposure to both research and technical development environments. Interns often have the opportunity to contribute to ongoing research publications or product development, which can be valuable experience for future roles.

What are the key skills and qualifications needed to thrive as an internship brain machine interface?

To thrive in a Brain Machine Interface internship, you typically need a background in neuroscience, biomedical engineering, computer science, or a related field, with coursework or experience in signal processing and neural data analysis. Familiarity with programming languages like Python or MATLAB, as well as experience with neural recording systems and data acquisition tools, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and contribute meaningfully to research teams. These skills enable interns to support innovative projects at the intersection of neuroscience and technology, ensuring they can learn quickly and add value to complex research environments.

What is an internship brain machine interface?

Internship Brain Machine Interface positions are short-term roles typically offered to students or recent graduates to gain hands-on experience working with brain-machine interface (BMI) technologies. These internships involve assisting with research, development, and testing of systems that connect the human brain to external devices, often in fields like neuroscience, biomedical engineering, or computer science. Interns may work on tasks such as data analysis, programming, hardware development, or conducting experiments under the supervision of experienced professionals. The goal is to provide practical exposure and skill development in cutting-edge neurotechnology.

What is the difference between Internship Brain Machine Interface vs Research Assistant in Brain-Computer Interface?

AspectInternship Brain Machine InterfaceResearch Assistant in Brain-Computer Interface
Required CredentialsEnrolled in relevant undergraduate or graduate programGraduate degree or ongoing research experience in neuroscience or engineering
Work EnvironmentInternship setting, often in labs or tech companiesAcademic or research institution labs
Employer & Industry UsageTech companies, startups, research labsUniversities, research institutes, industry R&D
Common Search & Comparison IntentUnderstanding internship roles in BMIResearch roles in brain-computer interfaces

While both roles involve working with brain-machine interface technology, an Internship Brain Machine Interface typically targets students gaining initial industry experience, whereas a Research Assistant in Brain-Computer Interface usually involves more advanced research responsibilities within academic or research institutions.

More about Internship Brain Machine Interface jobs
What cities are hiring for Internship Brain Machine Interface jobs? Cities with the most Internship Brain Machine Interface job openings:
What are the most commonly searched types of Brain Machine Interface jobs? The most popular types of Brain Machine Interface jobs are:
What states have the most Internship Brain Machine Interface jobs? States with the most job openings for Internship Brain Machine Interface jobs include:
Infographic showing various Internship Brain Machine Interface job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, 1% Temporary, 3% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Research and Development Intern - In vivo & Preclinical support

Axoft

Cambridge, MA • On-site

Other

Posted yesterday

New


Job description

R&D Intern

Axoft is building the most advanced and scalable platform for implantable brain–machine interfaces. Our mission is to enable minimally invasive, long-term stable, and ultrahigh-bandwidth communication with the brain—unlocking new therapies and treatments for neurological disorders and physical disabilities. We have bridged the gap between electronic and biological materials to create the softest, nanofabricated brain implants in the world. We are now expanding our interdisciplinary team with individuals who are passionate, results-driven, and committed to solving complex problems with creativity and scientific rigor.

We are seeking a highly motivated R&D Intern to support in vivo experiments, surgical workflows, and neural data collection. This role is ideal for candidates interested in neuroscience, animal research, and translational neurotechnology, with opportunities to gain hands-on experience in large animal studies, electrophysiology, and experimental operations.

Location: Cambridge, MA (On-site)

Duration: 6 months (longer duration preferred)

Team: Preclinical

Key responsibilities

Surgical support

  • Assist with surgical procedures for large animals (e.g. porcine)

Assist with in vivo neural recordings (setup, monitoring, documentation)

Support behavioral, acute, and terminal experimental workflows

Assist with ex vivo testing and validation experiments

Tissue Processing & Histology Support

Support histological data analysis, coordination, and sample tracking

Maintain accurate documentation of tissue workflows and experimental outputs

Lab Operations & Collaboration

Maintain surgical and experimental equipment and workspace organization

Manage inventory, consumables, and experiment preparation

Ensure materials and setups are ready for time-sensitive studies

Work closely with neuroscientists, engineers, and external partners

Communicate observations clearly and support efficient experiment execution

Eligibility Requirements

  • Open to students currently enrolled in or recently graduated from a B.S., M.S., or Ph.D. program in Biology, Neuroscience or related field.
  • Undergraduate students must be in their junior year or higher
  • International students in U.S.-based programs must be CPT-eligible and have approval from their academic advisor

Qualifications

  • Pursuing or recently completed a degree in Biology, Neuroscience or a related field
  • Experience working with research animals including rodents, porcine models, and/or monkey models
  • Basic understanding of histology or tissue processing.
  • Strong attention to detail, organized workflow, and ability to work independently
  • Eagerness to learn and contribute to real-world neurotechnology projects
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience analyzing extracellular electrophysiological neuron recordings.
  • Experience in neural implant surgery, neuromodulation therapies, neuroprosthetics, or related neurotechnologies.
  • Experience with immune staining, biological imaging, and related data analysis

What you'll gain

  • Hands-on experience with preclinical neuroscience research

Exposure to surgical workflows and neural recording systems

Opportunity to contribute directly to translational neurotechnology development

Experience working in a fast-paced, interdisciplinary R&D environment


Axoft logo

About Axoft

Sourced by ZipRecruiter

Industry

Nanotechnology research and development

Company size

11 - 50 Employees

Headquarters location

Cambridge, MA, US

Year founded

2021

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