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Graph Neural Network Internship Jobs (NOW HIRING)

Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a ... graph code and conventional C++ DSP and control code. Note: Our preference is for this internship ...

Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a ... graph code and conventional C++ DSP and control code. Note: Our preference is for this internship ...

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j). * Oversee the ...

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Graph Neural Network Internship information

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How much do graph neural network internship jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for graph neural network internship in the United States is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a graph neural network internship?

A Graph Neural Network (GNN) Internship is a position designed for students or recent graduates to gain hands-on experience working with GNNs, a type of deep learning model that processes data structured as graphs. Interns typically participate in research, model development, and the application of GNNs to various problems such as social network analysis, recommendation systems, or molecular property prediction. The internship provides opportunities to collaborate with experienced researchers, learn cutting-edge techniques, and contribute to real-world projects involving graph-based machine learning.

What types of projects or tasks can I expect to work on during a graph neural network internship?

As a Graph Neural Network (GNN) intern, you will typically be involved in projects such as developing and optimizing GNN models for real-world datasets, implementing new neural network architectures, and conducting experiments to evaluate model performance. You may also assist with data preprocessing, feature engineering, and collaborating with data scientists and machine learning engineers to integrate GNN solutions into larger systems. Regular tasks include reviewing recent research, documenting findings, and presenting your results to the team. This internship offers an excellent opportunity to deepen your understanding of advanced machine learning methods while gaining hands-on experience in a collaborative research-focused environment.

What are the key skills and qualifications needed to thrive as a graph neural network intern, and why are they important?

To thrive as a Graph Neural Network Intern, you need a solid background in machine learning, data science, and programming languages such as Python, often supported by coursework or research experience in deep learning and graph theory. Familiarity with frameworks like PyTorch Geometric, TensorFlow, and libraries such as NetworkX, along with experience using Jupyter Notebooks and Git, is typically expected. Strong analytical thinking, problem-solving skills, and effective communication help interns collaborate with research teams and convey complex ideas clearly. These skills and qualifications are essential for contributing to cutting-edge AI projects and advancing research in graph-based machine learning.
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Infographic showing various Graph Neural Network Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.

Design Verification Intern

quadric, Inc

Burlingame, CA • On-site

$45 - $60/hr

Internship

Re-posted 19 days ago


Key responsibilities

  • Collaborate with architects and designers to document test plans, write and debug tests, and generate coverage.

  • Verify CPU or GPU design functionalities using SystemVerilog, SystemC, or C/C++.

  • Assist in problem-solving and debugging related to verification activities.


Job description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Note: Our preference is for this internship to be based out of our Burlingame, California office. Candidates should be based in the Bay Area or able to relocate for the internship period and available to work on site.

Requirements

Required

  • Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.
  • Familiarity with verification methodologies for CPU or GPU designs.
  • Proficient in either SystemVerilog, SystemC or C/C++. UVM is a plus.
  • Prepared to collaborate with architects and designers to document test plans, write and debug tests, and generate coverage.
  • Demonstrated capability in problem-solving, debugging, and clear technical communication.


Preferred

  • Coursework or project experience with Computer Architecture, RTL Design, ML systems, or performance engineering.
  • Exposure to assembly or low-level code generation.
  • Adept with scripting languages like Python and using LLMs to get things done.

Benefits

At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space. 

The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual rate offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience and education, technical skills and competencies, and work location. 

Quadric interns receive hands-on experience working alongside industry experts in AI and semiconductor technology, with access to mentorship and meaningful project ownership from day one.

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.

By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.


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About Quadric.io

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

11 - 50 Employees

Headquarters location

Burlingame, CA, US

Year founded

2016

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