ZipRecruiter

Log In

1

Brain Machine Interface Intern Jobs (NOW HIRING)

PetsApp

Senior Manufacturing Quality Engineer

Cambridge, MA · On-site

$96K - $131K/yr

Director of Quality Assurance Summary Axoft is building the most advanced infrastructure for implantable brain-machine interfaces. Our mission is to enable long-term stable and ultra-high bandwidth ...

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$134K/yr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface ...

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$116K - $233K/yr

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface ...

next page

Showing results 1-20

All JobsHealthcare JobsMedical Specialists JobsBrain Machine Interface Intern Jobs

Brain Machine Interface Intern information

See salary details

$25.5K

$42.6K

$88K

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

As of Sep 10, 2026, the average yearly pay for brain machine interface intern 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 does a brain machine interface intern do?

A Brain Machine Interface (BMI) Intern assists in the research and development of technologies that connect the human brain to computers or external devices. Their responsibilities may include collecting and analyzing neural data, developing software for signal processing, and supporting experiments involving neural interfaces. Interns often work alongside neuroscientists, engineers, and software developers to help advance BMI systems, contributing to innovations in healthcare, assistive technologies, and neuroscience research.

What are the key skills and qualifications needed to thrive as a brain machine interface intern?

To thrive as a Brain Machine Interface Intern, you generally need a strong background in neuroscience, computer science, or biomedical engineering, supported by relevant coursework or research experience. Familiarity with programming languages like Python or MATLAB, experience with data analysis tools, and exposure to neural signal processing systems are typically required. Strong problem-solving abilities, attention to detail, and effective collaboration are valuable soft skills in this role. These competencies are vital for contributing to innovative research, ensuring accurate data interpretation, and working efficiently within multidisciplinary teams.

What are some common challenges faced by brain machine interface interns during their projects?

Brain Machine Interface (BMI) Interns often encounter challenges such as translating complex neuroscience concepts into practical engineering solutions and working with noisy or limited neural data. Collaborating effectively with multidisciplinary teams—including neuroscientists, engineers, and software developers—is also essential, as is adapting to rapidly evolving technologies and research findings in the field. Being proactive in seeking guidance and staying current with the latest publications can help interns navigate these hurdles and make meaningful contributions to their projects.

What is the difference between Brain Machine Interface Intern vs Brain Machine Interface Research Assistant?

AspectBrain Machine Interface InternBrain Machine Interface Research Assistant
Required CredentialsUndergraduate or early graduate students, relevant coursework in neuroscience, engineering, or computer scienceGraduate students or recent graduates with specialized knowledge in neuroscience or biomedical engineering
Work EnvironmentInternship programs in labs or tech companies, hands-on project workResearch labs, academic institutions, or industry R&D teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research institutions focusing on neural interfacesUniversities, research institutes, biotech firms conducting advanced neural research

The main difference is that Brain Machine Interface Interns are typically undergraduate students gaining initial experience, while Research Assistants are more advanced, often graduate-level, with greater responsibilities in neural interface research.

What are the most commonly searched types of Brain Machine Interface jobs?

The most popular types of Brain Machine Interface jobs are:

What are popular job titles related to Brain Machine Interface Intern jobs?

For Brain Machine Interface Intern jobs, the most frequently searched job titles are:

Infographic showing various Brain Machine Interface Intern job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Mechanical Engineering Intern, Robotics and Surgery Engineering

South San Francisco, CA • On-site

Neuralink
Biotechnology Research and Development • 201 - 500 employees
Learn more about Neuralinkexternal

$35/hr

Internship

Re-posted 5 days ago

Job description

Team Description:

The Robotics & Surgery Engineering Team is developing our next-generation surgical platform to facilitate bringing our cutting-edge brain implant to more of those in need. We're working on driving surgery time and invasiveness down, while pushing safety and accuracy to their maximums.

Job Description and Responsibilities:

As a Mechanical Engineering Intern at Neuralink, you will have the opportunity to design and produce hardware solutions for our brain-machine interface devices, including surgical robotics, automation, microfabrication, and more. You will get to own projects from concept to production, utilizing your mechanical engineering background in the challenging field of brain-machine interfaces. The role involves collaboration with neuroscientists, biologists, and engineers to determine design criteria and build systems quickly and effectively.

Required Qualifications:

  • 6+ months experience of in the application of technical skills outside of the classroom (examples depending on the role: laboratory, research, extracurricular project teams, open source contributions, volunteering, personal projects or prior internship/work experience)
  • Strong understanding of engineering first principles

Preferred Qualifications: 

  • 1+ years of mechanical engineering industry experience, including owning products from concept to production
  • Proficiency in Solidworks or similar CAD program
  • Experience with conventional machining and rapid prototyping technologies
  • Experience with precision design and manufacturing
  • Experience with advanced imaging techniques

Additional Requirements and Competencies:

  • Resourceful, flexible and adaptable; no task is too big or too small
  • You find large challenges exciting and enjoy discovering and defining problems as much as solving them
  • You deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a manufacturable solution that works every time
  • You are a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, biological engineers, and neuroscientists. You are comfortable communicating across teams

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

Apply