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Intern Computational Neuroscience Software Engineer Jobs

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

... signal processing, and computational neuroscience. We're seeking passionate, creative, and ... Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ...

Neuralink

Software Engineer Intern, Robotics

Austin, TX · On-site

$35/hr

As a Software Engineer Intern on the Robot Software Team, you will be responsible for writing ... neuroscience teams Required Qualifications: * Evidence of exceptional ability in engineering or ...

Toyota

Software Engineer Intern

Noblesville, IN · On-site

The Software Engineer Intern will work with Toyota Automated Logistics' R&D team in Indianapolis, IN to help produce industry leading Autonomous Vehicle and Robotic solutions for the Material ...

New

Weyland-Yutani Corporation

$179K/yr

THIS ROLE SITS AT THE INTERSECTION OF COMPUTATIONAL NEUROSCIENCE, ADVANCED AI, AND SYSTEMS ENGINEERING. RESPONSIBILITIES * ARCHITECT AND VALIDATE NEURAL LATTICE TOPOLOGIES FOR SYNTHETIC COGNITIVE ...

American Society for Experimental Neurotherapeutics

... Biomedical Engineering, Cognitive Science, Public Health, or a related field and 12+ years of ... Expertise in computational modeling, machine learning, predictive analytics, biomarker development ...

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How much do intern computational neuroscience software engineer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for intern computational neuroscience software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Intern Computational Neuroscience Software Engineer vs Intern Data Scientist?

AspectIntern Computational Neuroscience Software EngineerIntern Data Scientist
Required CredentialsRelevant coursework in neuroscience, programming, and data analysis; often pursuing a degree in neuroscience, computer science, or related fieldsDegree in data science, statistics, computer science, or related fields; strong programming and analytical skills
Work EnvironmentResearch labs, tech companies, or academic institutions focusing on brain research and AI applicationsTech companies, research firms, or healthcare organizations analyzing large datasets
Employer & Industry UsageUsed in neuroscience research, AI development, and neurotechnology industriesCommon in tech, finance, healthcare, and marketing sectors

While both roles involve programming and data analysis, Intern Computational Neuroscience Software Engineers focus on understanding brain functions and developing neuro-inspired algorithms, whereas Intern Data Scientists analyze diverse datasets to extract insights across various industries.

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Intern Computational Neuroscience Software Engineer jobs near you

Internship Program

New York, NY

Synaptrix Labs
See more jobs at Synaptrix Labsexternal

$18.25 - $23.75/hr

Full-time, Internship

Re-posted 25 days ago

Key responsibilities

  • Contribute to the development of real-time software systems for neural signal processing and data visualization.

  • Build and prototype non-invasive EEG-based BCI hardware, including electrode arrays and embedded microcontroller systems.

  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.

Job description

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