Internship Program

Summary

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 real-time software systems, hardware prototyping, and machine learning model development in the field of neuroscience and AI.

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
• Demonstrated experience with one or more of the following: Machine Learning: PyTorch, TensorFlow, or JAX
• Demonstrated experience with one or more of the following: Hardware: Arduino, PCB design, or embedded systems
• Demonstrated experience with one or more of the following: 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

Qualifications

Must Haves

• 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
• Demonstrated experience with one or more of the following: Machine Learning: PyTorch, TensorFlow, or JAX
• Demonstrated experience with one or more of the following: Hardware: Arduino, PCB design, or embedded systems
• Demonstrated experience with one or more of the following: 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

Nice to Haves

• 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