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$142.5K

$168.8K

$192.5K

How much do intern computational physicist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for intern computational physicist in the United States is $168,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,500.00 and $182,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Computational Physicist, and why are they important?

To thrive as an Intern Computational Physicist, you need a solid background in physics, mathematics, and programming, often supported by coursework or a degree in physics, applied mathematics, or a related field. Familiarity with scientific programming languages (such as Python, C++, or MATLAB), numerical simulation software, and version control systems is typically required. Analytical thinking, problem-solving, and effective communication help distinguish candidates in collaborative research environments. These skills are crucial for accurately modeling physical systems, interpreting complex data, and contributing to research projects.

How much do computational physicists make in the US?

Computational physicists in the US typically earn between $70,000 and $120,000 annually, depending on experience, education, and industry. Entry-level positions may start around $60,000, while experienced professionals or those in specialized fields can earn higher salaries, especially with advanced skills in programming and simulation tools.

What types of projects and responsibilities can an Intern Computational Physicist expect during their internship?

As an Intern Computational Physicist, you will typically work on projects involving the simulation and modeling of physical systems using computational tools. You may assist with coding, data analysis, and running simulations under the guidance of senior researchers or physicists. Collaboration with multidisciplinary teams, including engineers and software developers, is common, and you'll likely present your findings during team meetings. This role offers a valuable opportunity to gain hands-on experience with industry-standard computational software and to develop both technical and communication skills.

What can I do with a computational physics degree?

A computational physicist can work in research, data analysis, simulation development, and modeling across industries such as aerospace, energy, and technology. They often use programming languages like Python or C++ and may work in academia, government labs, or private sector companies. The degree provides skills applicable to roles in software development, scientific computing, and technical consulting.

Is computational physics in demand?

Computational physics is in high demand across industries such as research, aerospace, and data science, where skills in programming, simulation, and modeling are valued. Interns and professionals with expertise in numerical methods, programming languages like Python or C++, and experience with high-performance computing are sought after in this field.

What does an Intern Computational Physicist do?

An Intern Computational Physicist assists in solving complex physical problems using computer simulations, mathematical modeling, and data analysis. They work under the supervision of senior physicists to develop and test algorithms, run simulations, and interpret results for research or industrial projects. Their work often involves programming, analyzing large datasets, and collaborating with multidisciplinary teams to address scientific challenges. This internship provides valuable hands-on experience in applying physics concepts to real-world problems using computational tools.

What is the difference between Intern Computational Physicist vs Intern Data Scientist?

AspectIntern Computational PhysicistIntern Data Scientist
Required CredentialsPhysics degree, programming skillsStatistics, programming, data analysis
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare
Industry UsagePhysics research, simulation, modelingData analysis, machine learning, insights

Intern Computational Physicists focus on physics-based modeling and simulations, often in research or industry R&D, requiring physics background and programming skills. Intern Data Scientists analyze data to extract insights, typically in tech or business sectors, with skills in statistics and data analysis. While both roles involve programming, their core focus and industry applications differ significantly.

Who hires computational physicists?

Computational physicists are typically hired by research institutions, government laboratories, universities, and private industry companies involved in scientific research, technology development, and data analysis. They often work in environments that require strong programming skills, knowledge of physics, and experience with simulation tools and high-performance computing systems.
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Intern Computational Physicist jobs near you
Infographic showing various Intern Computational Physicist job openings in the United States as of July 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $168,844 per year, or $81.2 per hour.
Battery Simulation & Computational Scientist Internship

Battery Simulation & Computational Scientist Internship

Sila

Alameda, CA • On-site

$25 - $39/hr

Internship

Posted 21 days ago

Job description

About Us
We are Sila, a next-generation battery materials company. Our mission is to power the world's transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world?
Who You Are
Are you a thoughtful, creative, and code-savvy simulation scientist or engineer? We are looking for someone who sits at the intersection of computer science and electrochemistry. You might be a software engineer with a passion for physics, or a theorist with a talent for building robust software infrastructure.
Sila Nanotechnologies is seeking a Battery Simulation & Computational Scientist (Intern) to:
  • Architect and implement physics-based battery models using PyBaMM.
  • Bridge the gap between theoretical equations and production-grade software code.
  • Leverage key insights from our battery models to accelerate learning cycles and reduce the cost of empirical R&D.
Responsibilities and Duties
  • Commit to a 6+ month internship (Remote or Onsite); this is not a position for students only available for summer months.
  • Analyze electrochemical data to build, parameterize, and apply new numerical models.
  • Fit electrochemical models to experimental data and evaluate model performance across a range of different electrochemical test techniques.
  • Support infrastructure development, helping to build the backend pipelines and tools that bring physics-based models to a wider audience.
  • Work closely with scientists and cross-functional teams to discover and communicate knowledge for the long-term development of our next-generation battery materials.
  • Invest in our values and champion them as we grow.
Knowledge and Skill Requirements
  • BSc (or preferably MSc/currently enrolled in a Ph.D. program) or equivalent research experience in Computer Science, Applied Mathematics, Chemical Engineering, Materials Science, or a related field.
  • Strong experience using PyBaMM (Python Battery Mathematical Modeling) is required.
  • Mastery of Python, including standard scientific libraries (NumPy, SciPy, Pandas).
  • Experience interacting with databases using SQL or Snowflake.
  • Proficient with Git and collaboration platforms (GitHub or GitLab).
  • Ability to navigate and execute workflows in Linux or macOS terminal environments.
  • Knowledge of electrochemical theory and the application of the P2D (Pseudo-Two-Dimensional) or Doyle-Fuller-Newman models.
  • Public contributions to the PyBaMM repository or related sister projects on GitHub.
  • Proficiency in using AI coding tools (e.g., Claude Code, Copilot) and knowledge of effective prompting techniques to accelerate development.
  • Experience building CI/CD pipelines, containerization (Docker), or some exposure to full-stack development.
Physical Demands and Working Conditions
  • Move long distances (such as from building to building) and be stationary for extended periods of time
  • Operate a computer and other office equipment, such as a laptop, copier/printer, etc in a fixed location
  • This role is open to Remote candidates.

The starting base pay for this role is between $25/hr and $39/hr at the time of posting. The actual base pay depends on many factors, such as education, experience, and skills. Base pay is only one part of Sila's competitive Total Rewards package that can include benefits, perks, and equity. The base pay range is subject to change and may be modified in the future. This role may also be eligible for overtime.
Working at Sila
We believe that building a diverse team at Sila helps us amplify our individual talents. We are an equal opportunity employer and committed to creating an inclusive environment where good ideas are free to come from anyone. We are proud to celebrate diversity and all qualified applicants are considered for employment without regard to gender, race, sexual orientation, religion, age, disability, national origin, or any other status protected by law.

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