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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