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Computational Design Internship Jobs (NOW HIRING)

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

... computational neuroscience. We're seeking passionate, creative, and technically driven interns to ... Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal ...

Optical Test Engineer

Austin, TX · On-site

$65 - $95/hr

Hands‑on experience in an optics laboratory - undergraduate research, senior design, internship ... You'll contribute to a platform that redefines computational performance and accelerates the future ...

Optical Test Engineer

Austin, TX · On-site

$85K - $100K/yr

Hands-on experience in an optics laboratory - undergraduate research, senior design, internship, or ... You'll contribute to a platform that redefines computational performance and accelerates the future ...

Ability to work within multi-disciplinary team of computational biologists, molecular biologists ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

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Computational Design Internship information

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How much do computational design internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for computational design internship in the United States is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.63 per hour, depending on experience, location, and employer.

What is a computational design internship?

A Computational Design Internship is a temporary position where interns apply programming, algorithmic thinking, and design principles to solve complex design challenges. Interns often work with tools like Grasshopper, Dynamo, or scripting languages such as Python to automate workflows, generate design variations, and optimize solutions. This role is commonly found in architecture, engineering, product design, and other fields that integrate computation into the creative process. It provides hands-on experience with parametric modeling, generative design, and data-driven decision-making in real-world projects.

What types of projects or tasks might I work on during a computational design internship?

As a Computational Design Intern, you can expect to work on projects that integrate programming and design, such as developing parametric models, automating design processes, or optimizing architectural or product solutions using computational methods. You may collaborate closely with designers, engineers, and architects, contributing to both conceptual design and technical implementation. Typical responsibilities include scripting algorithms, analyzing design performance, building and testing prototypes, and visualizing data-driven design outcomes. This hands-on experience provides valuable exposure to cutting-edge digital design practices, teamwork, and real-world problem-solving.

What are the key skills and qualifications needed to thrive in the computational design internship position, and why are they important?

To thrive as a Computational Design Intern, a strong background in mathematics, programming (such as Python or C++), and design principles—often supported by coursework or relevant academic projects—is essential. Familiarity with computational design tools like Rhino/Grasshopper, Autodesk Revit, or parametric modeling software is commonly required. Strong problem-solving abilities, adaptability, and effective teamwork and communication skills are also highly valued. These competencies enable interns to contribute creatively and technically to design solutions, making them effective contributors in multidisciplinary environments.

Is computational design an in demand career?

Computational design is a growing field with increasing demand across architecture, engineering, and product design industries. Professionals skilled in programming, parametric modeling, and tools like Rhino, Grasshopper, or Dynamo are sought after for innovative and efficient design solutions.
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Infographic showing various Computational Design Internship job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $40,304 per year, or $19.4 per hour.

Internship Program

Synaptrix Labs

New York, NY • On-site

$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