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Internship Computational Material Science Jobs in Oregon

Nvidia

OR · On-site

$113.40K - $156.30K/yr

PhD in computational chemistry, materials science, computer science, or a related field; or ... equivalent experience. * 6+ years of experience in one or more of higher education for machine ...

Varsity Tutors

High School Computer Science Tutor

OR · Remote

$40/hr

Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Varsity Tutors

AP Computer Science Principles Tutor

OR · Remote

$40/hr

Deep knowledge of computational thinking, creative development, data analysis, algorithms and ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Nvidia

OR

PhD in computational chemistry, materials science, computer science, or a related field; or equivalent experience. * 8+ years building AI or machine learning software for chemistry or materials ...

Danaher

Software Engineer Internships

Salem, OR

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

Danaher

Software Engineer Internships

Eugene, OR

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

Danaher

Software Engineer Internships

Portland, OR

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

Danaher

Software Engineer Internships

Gresham, OR

... Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship start date

Varsity Tutors

AP Computer Science A Tutor

Portland, OR · Remote

$40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Varsity Tutors

AP Computer Science A Tutor

Eugene, OR · Remote

$40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Varsity Tutors

AP Computer Science A Tutor

OR · Remote

$40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

ASM

Senior Engineer I, Field Process

Hillsboro, OR

MS degree with relevant internship, research, or academic project experience, or PhD with relevant academic, research, or internship experience in materials science, chemical engineering, or physics.

ATI

Finance / Procurement Intern - Summer 2026

Albany, OR · On-site

$17.50 - $22.75/hr

We're solving the world's most difficult challenges through materials science. Finance/Procurement Internship, ATI Specialty Alloys & Components ATI is seeking to hire a Finance/Procurement Intern ...

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Internship Computational Material Science information

What are the key skills and qualifications needed to thrive as an Internship Computational Material Science, and why are they important?

To thrive as an intern in Computational Material Science, you generally need a strong foundation in materials science, physics, chemistry, and programming, often supported by coursework or experience in these areas. Familiarity with simulation software (such as VASP, LAMMPS, or Quantum ESPRESSO), coding languages like Python or MATLAB, and potentially basic knowledge of high-performance computing systems is typically required. Analytical thinking, attention to detail, and effective communication are valuable soft skills that help in interpreting results and collaborating with research teams. These skills and qualities are essential for conducting accurate simulations, solving complex research problems, and contributing meaningfully to scientific projects.

What types of projects and collaborations can I expect during an Internship in Computational Material Science?

As an intern in Computational Material Science, you will typically work on projects involving the simulation and modeling of materials using computational tools and software. These projects often require close collaboration with other interns, research scientists, and sometimes experimentalists to validate your computational results. You may contribute to ongoing research, assist in code development, analyze data, and present findings to the team. This environment encourages skill development in programming, data analysis, and scientific communication, while also providing valuable exposure to multidisciplinary teamwork.

What is an internship in computational material science?

An internship in computational material science is a temporary position, often for students or recent graduates, where participants work with experts to apply computer modeling and simulations to study materials at the atomic or molecular level. Interns typically use specialized software to predict material properties, analyze data, and support ongoing research projects. These internships provide hands-on experience in both materials science and computational techniques, helping to prepare individuals for careers or further study in the field.
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Internship Computational Material Science jobs near you
Senior Strategic Alliance Manager, AI for Chemistry and Material Science - HER

Senior Strategic Alliance Manager, AI for Chemistry and Material Science - HER

Nvidia

On-site

$113.40K - $156.30K/yr

Full-time

Posted 3 days ago

Job description

At NVIDIA, we believe AI will transform how new chemicals and materials are discovered. We're looking for passionate technologists with a university or applied research background in AI for computational chemistry to engage the academic and research community.

You will be responsible for encouraging NVIDIA platform adoption at leading universities and research labs engaged in groundbreaking research in Generative AI, model architectures, and Agentic AI workflows in the field of chemistry and material science. You'll define and deliver strategic partnerships, lead fruitful technical collaborations, and advise NVIDIA's product organization as a representative of developers in the higher education and research ecosystem.

What you'll be doing:

  • Identify top researchers and labs within academic and scientific research institutions specializing in AI applied to Chemistry and Material Science.

  • Lead strategic relationships with opinion leaders and researchers.

  • Define NVIDIA's strategy for engaging developers in university and research environments by working with cross functional teams: Product, Engineering, Marketing, Applied Research, etc.

  • Evangelize and directly engage target collaborators on building teaching kits

  • Host developer and customer evangelism events: meetups, hackathons, lectures.

  • Speak at relevant scientific, technical and industry conferences.

What We Need To See:

  • PhD in computational chemistry, materials science, computer science, or a related field; or equivalent experience.

  • 6+ years of experience in one or more of higher education for machine learning interatomic potentials, generative modeling, and quantum chemistry workflows,

  • Demonstrated knowledge of the research ecosystem landscape related to AI applications in chemical and materials research

  • Outstanding communication abilities with proven experience in conveying a value proposition to both technical and non-technical audiences

Ways to stand out from the crowd:

  • High-impact publications in artificial intelligence applications for chemistry, molecular modeling, or materials discovery.

  • Experience with CUDA, parallel programming, or performance-focused software development.

  • Contributions to open-source software for simulation, chemistry, or materials science.

  • Experience managing technical and business alliances across multiple partner groups and the peer team(s)

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most experienced and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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