Internship Program
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Before you apply
SalaryNo pay range posted
LocationSynaptrix, New York City
Work modeon-site
Typeinternship
SeniorityEntry
DepartmentResearch
Company size2+ people
PostedNov 10, 2025 · 11mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Nov 10, 2025No pay range listed, though New York requires one
At a glanceSummarised by Seekless from the posting.
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 Software: Python, C++, or JavaScript
Demonstrated experience with Machine Learning: PyTorch, TensorFlow, or JAX
Demonstrated experience with Hardware: Arduino, PCB design, or embedded systems
Demonstrated experience with 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
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
Availability for an internship in New York City
Skills
Python
C++
JavaScript
PyTorch
TensorFlow
JAX
Arduino
Figma
Fusion 360
SolidWorks
Benefits
Mentorship
Hands on experience
Dynamic workspace
Potential full time conversion
About Synaptrix Labs Inc.
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:
Depending on your background and interests, you may:
•
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.
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Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
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Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
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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.
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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
•
Potential for full-time conversion after graduation
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