Internship Program

Synaptrix Labs; New York (NY); On-site; USD 25,000 - 35,000; Full time

Benefits offered by this job

Hands-on experience in brain-computer interfaces

Mentorship from experts

Dynamic workspace

Job summary

A leading neurotechnology company in New York City is looking for passionate interns to contribute to the development of brain-computer interfaces. Interns will engage in software and hardware projects, work on machine learning models, and help create user interfaces for individuals with mobility impairments. Ideal candidates are pursuing a degree in relevant fields and have strong teamwork skills. This internship provides hands-on experience in an innovative setting, directly impacting lives through technology.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, or related field.
• Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
• Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
• Availability for an internship in New York City.

Responsibilities

• Contribute to development of real-time software systems for neural signal processing and data visualization.
• Build and prototype non-invasive EEG-based BCI hardware.
• Design, train, and evaluate machine learning models for EEG/EMG decoding.
• Develop intuitive interfaces for individuals with mobility or communication impairments.
• Collaborate with the design team to prototype wearable neurotech devices.
• Support data collection and analysis in research sessions.
• Participate in cross-functional design reviews.
• Contribute to internal documentation for ongoing R&D projects.

Skills

Python

C++

JavaScript

Machine Learning

Arduino

PCB design

Figma

Fusion 360

SolidWorks

Education

Bachelor’s or Master’s degree in relevant field

Job description

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.

We’re seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you’re excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you.

Responsibilities

• Contribute to development of real-time software systems for neural signal processing and data visualization.
• Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
• Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
• Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
• Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
• Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
• Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
• Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
• Demonstrated experience with one or more of the following:
  • Software: Python, C++, or JavaScript
  • Machine Learning: PyTorch, TensorFlow, or JAX
  • Hardware: Arduino, PCB design, or embedded systems
  • Design: Figma, Fusion 360, SolidWorks, or similar tools
• Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
• Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
• Availability for an internship in New York City.

Preferred Qualifications

• Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
• Familiarity with deep learning for time-series or multimodal data.
• Experience designing assistive devices, wearables, or medical technology.
• Portfolio, GitHub, or research projects demonstrating creative technical work.
• Interest in startups, prototyping, and early-stage innovation.

About our Culture

At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.

As an intern, you’ll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You’ll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.

What We Offer

• Hands-on experience in one of the world’s most exciting emerging fields: brain-computer interfaces
• Opportunity to contribute to technology that directly improves lives
• Mentorship from scientists, engineers, and founders building real neurotechnology products
• Dynamic NYC workspace blending lab, workshop, and creative studio environments