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Computational Design Internship Jobs (NOW HIRING)

The ability to effectively focus a significant amount of computational power on solving critical ... internship, co-op, or academic lab experience qualifies). * Hands-on experience in a lab ...

$14.50 - $18.75/hr

Medical Device Design and Prototyping * Computational Fluid Dynamics (CFD) and Fluid Mechanics ... Interns work closely with engineers, clinicians, and operational stakeholders to support production ...

The ability to effectively focus a significant amount of computational power on solving critical ... internship, co-op, or academic lab experience qualifies). * Hands-on experience in a lab ...

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 ...

Internship Program

New York, NY

$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 ...

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 ...

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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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Cities with the most Computational Design Internship job openings:

What are the most commonly searched types of Computational Design jobs?

The most popular types of Computational Design jobs are:

What states have the most Computational Design Internship jobs?

States with the most job openings for Computational Design Internship jobs include:

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.

SSG Design Engineering Intern (Fall 2026)

Cadence Design Systems Inc.

San Jose, CA • On-site

$35/hr

Full-time

Re-posted 5 days ago


Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies


Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Design Engineering Intern
The Cadence Silicon Solutions Group (SSG) is seeing rapid adoption of our industry leading Digital IP (intellectual Property), from processor cores and DSPs to Memory Controllers, to Network on Chip (NoC), to IO solutions. Our configurable and extensible IP solutions are designed to meet the demands of SOCs and Chiplets targeted at a wide range of applications. Our customers are the world's most innovative companies, delivering extraordinary electronic products from chips to boards to complete systems for the most dynamic market applications including hyperscale computing, 5G communications, automotive, mobile, aerospace, consumer, industrial, and healthcare.


The Cadence SSG Team is hiring graduates to join our R&D teams in San Jose, CA. This is an amazing opportunity to work as a Design Engineering Intern at a world leader in computational software, semiconductor design IP, and system verification hardware. Come be part of this great SSG Team where you can make an impact that is visible.
This Design Engineering Intern position involves working on Digital Design tasks, or Design Verification tasks related to the Janus NoC IP product.


(a) Digital Design projects involve working on aspects of the logic design of the Janus NoC. It can involve RTL implementation of a specified micro-architecture in System Verilog, simulating and debugging RTL logic, running synthesis, place & route and other Electronic Design Automation (EDA) tools to study and achieve timing, area, and power goals.


(b) Design Verification Team projects involve working on aspects of the verification of the Janus NoC. Assist with developing test plans, writing functional tests (UVM) and verification monitors (SVA) UVM/SVA monitors, debugging failures, analyzing coverage information, and scripting Design Verification flows.

The Design Engineering intern will work closely with the Design, Verification, and Physical Design teams.


Position Requirements:
Currently enrolled in MS/BS program with major in Electrical Engineering, Computer Engineering, or a similar major.
Deep understanding of Digital Design and/or Design Verification Fundamentals
Excellent automation skills using Tcl, Perl, shell scripting
Excellent oral and written communications skills
Exposure to design automation tools is a plus

Internship will be based in San Jose location. Ideal candidates should be from local school near office.

The annual salary range for California is $35/hr to $62/hr. You may also be eligible to receive incentive compensation: bonus, equity, and benefits.Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location.

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