About the role
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. • 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 • Potential for full-time conversion after graduation
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