Synaptrix Labs Inc. is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. They are seeking passionate and technically driven interns to contribute to various projects in software and hardware engineering, machine learning research, and design, all aimed at improving neurological conditions and enhancing human potential.
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
Skills
- 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
- 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
Benefits
- 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
Company Overview
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