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Brain Machine Interface Intern Jobs (NOW HIRING)

Devyantram

Lead Photonics Engineer

Ashburn, VA · On-site

$150K - $170K/yr

Strongly Preferred • Optical or holographic computing. • Unconventional or non-von-Neumann computing. • Brain-machine interfaces or neural probes. • Advanced research lab or deep-tech startup ...

Devyantram

Lead Biohybrid Systems Engineer

Ashburn, VA · On-site

$145K - $165K/yr

... brain-machine interfaces. • Experience bridging wet-lab, hardware, and robotics teams. A Successful Candidate Will Be Measured By • Stability, function, and learning capacity of the neural ...

Alumni Ventures

Materials Engineer

Cambridge, MA · On-site

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 ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive ... Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive ... Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive ... Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ...

Neuralink

Neuroengineer Intern

South San Francisco, CA

$35/hr

... 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 ...

The Bradbury Company

Controls Engineering Intern

Moundridge, KS · On-site

$16.25 - $21/hr

It allows an intern to not only demonstrate their skills, technical aptitude, and understanding of ... Perform Installation and setup of Human Machine Interface (HMI) terminals applications. * Install ...

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

... 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 ...

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

Job Summary We are seeking a post-doctoral fellow to conduct research on novel brain machine interface technology. The role involves comprehensive testing of chronically implanted carbon fiber ...

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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.

Lead Photonics Engineer

Ashburn, VA • On-site

Devyantram
See more jobs at Devyantramexternal

$150K - $170K/yr

Full-time

Re-posted 6 days ago

Job description

Devyantram is building a unified platform of bionic robots, from nanoscale to humanoid, powered by a bionic brain system that fuses biotechnology, nanotechnology, and AI to tackle global challenges in climate, medicine, and defense.
Role Summary
You will lead the design and development of Devyantram's photonic intelligence hardware supporting the CEREBRION bionic brain platform. You are responsible for architecting intelligence-substrate hardware, not just building individual components.
Key Responsibilities
Photonics Engineering
• Design and simulate photonic circuits, waveguides, resonators, and interferometers.
• Develop optical interconnects and signal-routing subsystems.
• Work on optical memory and optical compute elements.
• Target high-bandwidth sensing, low-latency communication, and energy-efficient computation.
• Own photonics fabrication, testing, and characterization.
Compute Hardware
• Contribute to unconventional, brain-inspired photonic compute hardware.
• Translate cognitive and AI requirements into physical implementations.
• Co-design with the bioengineering, mechatronics, and controls teams.
IP & Technical Leadership
• Generate foundational IP across photonics.
• Lead invention disclosures and support patent strategy with counsel.
• Define the long-term photonic hardware roadmap.
• Mentor junior researchers and engineers.
Required Qualifications
• MS or PhD in Applied Physics, Electrical Engineering, Materials Science, or a related field.
• 8+ years of demonstrated expertise in photonics engineering.
• Strong experience in nanofabrication.
• Proven ability to bridge theory, fabrication, and system-level integration.
Strongly Preferred
• Optical or holographic computing.
• Unconventional or non-von-Neumann computing.
• Brain-machine interfaces or neural probes.
• Advanced research lab or deep-tech startup experience.
A Successful Candidate Will Be Measured By
• Functionality and performance of the compute hardware.
• Successful design and fabrication of photonics systems.
• Reliability of hardware integration across subsystems.
• Strength, novelty, and defensibility of generated core IP.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
The pay range for this role is:
150,000 - 170,000 USD per year (Ashburn, VA)

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