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Computer Science Internship Jobs in Stamford, CT

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Customer Operations

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Knowledge of computer science principles such as algorithms, data structures and design methodologies Preferred Qualifications Experience * Internship experience in a data scientist role #LI-JV1 ...

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Computer Science Internship information

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$24

$53

How much do computer science internship jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for computer science internship in Stamford, CT is $24.02, according to ZipRecruiter salary data. Most workers in this role earn between $13.06 and $27.69 per hour, depending on experience, location, and employer.

What are internship opportunities in computer science?

An internship in computer science provides on-the-job training for students who study computer science. Your duties in this program depend on the focus on the internship. Some interns get experiencing coding and developing software, applications, or website user interfaces. As an intern, you work under the direction of programming and development professionals. Your responsibilities include writing lines of code, testing and debugging software, learning computer languages in a realistic setting, and functioning as part of a team. Other computer science internships focus on providing technical support, cybersecurity services, or administration services as part of an IT team.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.

What types of projects does a computer science intern typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What are the key skills and qualifications needed to thrive as a computer science intern, and why are they important?

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What is the difference between Computer Science Internship vs Software Developer Intern?

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

What do you do as a computer science intern?

A computer science intern typically assists with software development, coding, testing, and debugging projects. They may work with programming languages like Python, Java, or C++, and often collaborate with teams to gain practical experience in software engineering and problem-solving. Internships usually involve learning industry tools and following project deadlines under supervision.

What internships should I apply for in computer science?

Computer science internships are available in tech companies, startups, and research labs, often focusing on software development, data analysis, or cybersecurity. Applicants should have programming skills in languages like Python, Java, or C++, and may need to demonstrate problem-solving abilities or relevant coursework. Internships can be paid or unpaid and typically require a resume and sometimes a cover letter or technical assessment.
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Computer Science Internship jobs near you
Infographic showing various Computer Science Internship job openings in Stamford, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $49,970 per year, or $24 per hour.

Internship Program

Synaptrix Labs

New York, NY

$18.25 - $23.75/hr

Full-time, Internship

Re-posted 13 days ago

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