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Internship Brain Machine Interface Jobs in Boston, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... world - Experience with Machine Learning, Computer Vision, Signals Processing preferred ...

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... world - Experience with Machine Learning, Computer Vision, Signals Processing preferred ...

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Showing results 1-20

Internship Brain Machine Interface information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

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

As of Aug 29, 2026, the average yearly pay for internship brain machine interface in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

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 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 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 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.

What are popular job titles related to Internship Brain Machine Interface jobs in Boston, MA?

For Internship Brain Machine Interface jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Internship Brain Machine Interface jobs?

Cities near Boston, MA with the most Internship Brain Machine Interface job openings:

Infographic showing various Internship Brain Machine Interface job openings in Boston, MA as of August 2026, with employment types broken down into 78% Full Time, 15% Part Time, 3% Temporary, 2% Contract, and 2% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Senior Manufacturing Quality Engineer

Cambridge, MA • On-site

$85 - $110/hr

Other

Medical, Dental, PTO

Posted 10 days ago


Job description

Senior Manufacturing Quality Engineer
  • Location: Cambridge, MA

  • Department: Quality Assurance

  • Reports To: 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 communication with the brain, opening new therapies and treatments against 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.

Position Overview

Axoft is seeking aSenior Manufacturing Quality Engineertosupport the scale-up of regulatedmanufacturingfor our implantable brain-machine interface technology.Thisrole is focused on building practical, compliant manufacturing quality systems that help teams move from development into reliable production.

Reporting to the Director of Quality Assurance, you will partner closely with Manufacturing, Engineering, and Operations to establish process controls, validation practices, documentation, inspection strategies, and quality workflows that are scalable for a Class II/III medical device environment.

The ideal candidate brings strong manufacturing quality experience, comfort working hands-on in regulated environments, and the ability to collaborate across technical teams. Experience in cleanroom, microfabrication, or similarly complex manufacturing environments is valuable, but we recognize that candidates may bring this expertise from different backgrounds.

Key ResponsibilitiesManufacturing Quality & Compliance
  • Serve as the primary Quality partner for manufacturing, helping teams execute compliant, practical processes within the QMS.

  • Partner with Manufacturing and Engineering to define, qualify, and improve production processes, including process mapping, critical parameter identification, and control strategy development.

  • Support disciplined issue resolution by identifying root causes, implementing corrective actions, and reducing recurring manufacturing variability.

Process Validation,Equipment Qualification & Process Control
  • Plan and execute IQ/OQ/PQ activities for cleanroom equipment and manufacturing processes, ensuring documentation is audit-ready and aligned with regulatory expectations.

  • Establish process monitoring and control methods, including SPC, yield tracking, process capability metrics, and appropriate metrology or measurement-system analysis.

  • Help assess equipment capability, stability, preventive maintenance needs, and quality controls required for reliable production.

Production Systems, Documentation & Material Quality
  • Develop and review manufacturing documentation, including work instructions, job travelers, SOPs, test methods, inspection criteria, and sampling plans.

  • Support incoming, in-process, and final inspection strategies, material traceability, disposition processes, and inventory-related quality controls.

  • Contribute to MRP/ERP workflows that support traceability, QMS requirements, training, and audit readiness.

Design Transfer & Cross-Functional Collaboration
  • Partner with R&D, Manufacturing, Operations, and Quality to translate development processes into controlled, repeatable production practices.

  • Support design transfer deliverables, ensuring manufacturing processes, documentation, training, and controls are ready for production release.

  • Coach engineers and operators on working effectively within a regulated QMS and maintaining strong documentation habits.

QualificationsEducation
  • Bachelor’s degree in Engineering (Mechanical, Biomedical, Chemical, or related field) or equivalent technical discipline.

Experience
  • 5–7 years of experience in manufacturing quality or quality engineering within the medical device industry.

  • Experience with Class II and/or Class III devices.

  • Strong experience working within FDA-regulated and ISO 13485-compliant QMS environments.

  • Hands‑on experience supporting process validation, equipment qualification, process controls, and manufacturing documentation.

  • Experience with cleanroom manufacturing, semiconductor, MEMS, nanofabrication, or other complex precision manufacturing environments is preferred.

  • Experience supporting design transfer, manufacturing scale‑up, MRP/ERP implementation, or startup environments is a plus.

Skills
  • Solid understanding of medical device regulations, including 21 CFR Part 820 and ISO 13485.

  • Strong working knowledge of validation, process control, inspection methods, SPC, DOE, and root‑cause analysis tools.

  • Ability to translate regulatory requirements into practical, scalable manufacturing processes.

  • Strong project management, communication, and cross-functional collaboration skills.

  • Hands‑on, detail‑oriented approach with the ability to balance rigor, prioritization, and speed in a growing organization.

What we offer
  • An opportunity to work with a team of experts on one of the most exciting problems in the world and change lives.

  • Career growth opportunities that fit your potential.

  • Comprehensive benefits plan including health and dental insurance; parental leave.

  • Flexible paid time off.

Axoft’s ideal team members are people who seek fast‑paced, evolving work with bright, thoughtful, and dedicated teammates. We seek and embrace challenges, and we are ultimately focused on improving the health and well‑being of people. We believe in producing the highest quality work, and we hold ourselves and each other to high standards of integrity, accountability, growth, and trust.

Axoft provides equal opportunity in all our employment practices to all qualified employees and applicants without regard to race, color, religion, gender, national origin, age, disability, marital status, military status, genetic information or any other category protected by federal, state and local laws. This policy applies to all aspects of the employment relationship, including recruitment, hiring, compensation, promotion, transfer, disciplinary action, layoff, return from layoff, training and social, and recreational programs. All such employment decisions will be made without unlawfully discriminating on any prohibited basis.

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