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Internship Materials Science Engineer Jobs in California

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

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Internship Materials Science Engineer information

What does an internship materials science engineer do?

An Internship Materials Science Engineer assists in researching, developing, and testing materials to improve existing products or create new ones. Interns often work alongside experienced engineers and scientists, helping with laboratory experiments, analyzing test data, and preparing reports. They may also learn to use specialized equipment and software relevant to materials characterization. This role provides hands-on experience in understanding the properties, structure, and performance of various materials, such as metals, polymers, ceramics, and composites. It is an excellent opportunity for students to apply their academic knowledge in a real-world engineering environment.

What types of projects or tasks can an internship materials science engineer expect to work on during their internship?

As an Internship Materials Science Engineer, you can expect to assist with laboratory experiments, materials testing, data analysis, and the development or improvement of materials for specific applications. Interns typically collaborate with senior engineers and scientists, contributing to research projects or product development initiatives. You may also help prepare technical reports and presentations, and gain exposure to industry-standard software and equipment. This hands-on experience is valuable for building technical skills and understanding real-world challenges in materials science engineering.

What are the key skills and qualifications needed to thrive as an internship materials science engineer, and why are they important?

To thrive as an Internship Materials Science Engineer, you need a solid understanding of materials properties, chemistry, and physics, typically supported by coursework or a degree in materials science or a related engineering field. Familiarity with laboratory equipment, materials characterization techniques (such as SEM, XRD), and software like MATLAB or CAD is often required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and present findings clearly. These skills are vital for contributing meaningful research, ensuring accurate data analysis, and supporting innovation within engineering projects.

Are internship materials science engineers in demand?

Internship materials science engineers are in demand as companies seek skilled individuals to support research, development, and manufacturing processes involving new materials and technologies. Strong knowledge of materials characterization, CAD tools, and relevant certifications can enhance job prospects in this field.

What jobs can I get with an internship materials science engineer degree?

An internship in materials science engineering prepares individuals for roles such as materials engineer, research scientist, quality control engineer, or product development engineer. These positions involve working with metals, polymers, ceramics, or composites, often requiring knowledge of testing methods, CAD software, and industry standards. Graduates can work in industries like aerospace, automotive, electronics, or manufacturing.

What are the most commonly searched types of Materials Science Engineer jobs in California?

The most popular types of Materials Science Engineer jobs in California are:

What cities in California are hiring for Internship Materials Science Engineer jobs?

Cities in California with the most Internship Materials Science Engineer job openings:

Internship Materials Science Engineer jobs near you
Infographic showing various Internship Materials Science Engineer job openings in California as of July 2026, with employment types broken down into 14% Internship, 72% Full Time, 7% Part Time, and 7% Temporary. Highlights an 86% In-person, and 14% Hybrid job distribution.

Materials Science Ai Engineer

Cardinal Integrated Technologies Inc

Santa Clara, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Cardinal Integrated Technologies Inc is seeking a Materials Science AI Engineer to join their team in developing and supporting materials discovery and design. The ideal candidate will focus on building AI-based solutions and collaborating with scientists and engineers to integrate analytics into core R&D workflows.
Responsibilities:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems.
• Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis.
• Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, GCP, AWS).
• Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows.
• Document code, workflows, and best practices to support reproducible research.
• Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency.
Qualifications:
Required:
• Strong proficiency in programming languages like Python and C++.
• Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with data cleansing, preprocessing, and feature engineering
• Graduate or undergraduate degree in Computer Science, Engineering, Applied Mathematics, or a related technical field.
• 2-4 years of work experience (depending on educational degree) in data science, AI, machine learning, or data engineering roles.
• A strong foundation in the principles of materials science is essential to understand the underlying science and set up meaningful problems for AI.
• Expert in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow or PyTorch).
• Expertise in use of cloud-based compute environments and tools for parallel or distributed computing.
• Strong problem-solving and communication skills.
Preferred:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems
Company:
We are a company of IT professionals who passionately believe that good quality products & services are delivered by great resources. Founded in 2013, the company is headquartered in Monmouth Junction, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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