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Internship Brain Machine Interface Jobs in Washington

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 ...

Devyantram

Lead Bioengineer

Ashburn, VA · On-site

$145 - $165/hr

... brain in both its living and engineered, materials‑based forms; the bioelectronic interface that ... Molecular machines or programmable matter. * Experience bridging wet‑lab, hardware, and robotics ...

DAVIS Construction

Assistant EHS Manager

Rockville, MD · On-site

$84K - $114K/yr

... machine operations which may lead to human injury and / or property damage. Must apply advanced ... Interfaces with OSHA, insurance carriers, and third-party auditors; may lead inspections, site ...

DAVIS Construction

Assistant EHS Manager

Rockville, MD · On-site

$84K - $114K/yr

... machine operations which may lead to human injury and / or property damage. Must apply advanced ... Interfaces with OSHA, insurance carriers, and third-party auditors; may lead inspections, site ...

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Internship Brain Machine Interface information

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 Washington?

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

What job categories do people searching Internship Brain Machine Interface jobs in Washington look for?

The top searched job categories for Internship Brain Machine Interface jobs in Washington are:

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Cities in Washington with the most Internship Brain Machine Interface job openings:

Internship Brain Machine Interface jobs near you

Lead Photonics Engineer

Devyantram

Ashburn, VA • On-site

$150K - $170K/yr

Full-time

Re-posted 19 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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