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Computational Modeling Internship Jobs in California

Stand Insurance

Fire Science Intern

San Francisco, CA · On-site

$30/hr

This is an immersive, project-based internship designed for students or early-career engineers interested in fire science, experimental methods, and computational modeling-not a survey or observer ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

... and model optimization Preferred Qualifications * PhD in Computer Science, Computational ... internships, or contributions to open-source projects * First authored publications on language ...

Ammobia

Chemical R&D Engineer

San Francisco, CA · On-site

$100K - $200K/yr

Develop analytical and computational models of gas-solid reaction processes , set target ... Experience managing technicians, interns, or junior engineers * Operational experience in pilot ...

Ammobia

Chemical R&D Engineer

San Francisco, CA

$100K - $200K/yr

Develop analytical and computational models of gas-solid reaction processes , set target ... Experience managing technicians, interns, or junior engineers * Operational experience in pilot ...

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Computational Modeling Internship information

What types of projects and collaborations can I expect during a Computational Modeling Internship?

During a Computational Modeling Internship, you can expect to work on projects involving data analysis, simulation, and model development to solve real-world problems in fields like engineering, biology, or physics. Interns often collaborate closely with multidisciplinary teams, including researchers, software engineers, and data scientists. You'll likely contribute to ongoing research or product development by running simulations, interpreting results, and presenting findings to team members. This collaborative environment helps interns build both technical expertise and communication skills while gaining exposure to various aspects of computational modeling.

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

To thrive as a Computational Modeling Intern, you need a solid background in mathematics, programming (often Python or MATLAB), and familiarity with numerical methods, typically supported by coursework in computational science or engineering. Experience with modeling software, simulation tools, and version control systems like Git is highly valued. Strong analytical thinking, attention to detail, and effective communication set outstanding candidates apart. These skills are crucial for accurately developing, interpreting, and presenting complex models that inform research and decision-making.

What is the difference between Computational Modeling Internship vs Data Analyst Internship?

AspectComputational Modeling InternshipData Analyst Internship
Required SkillsProgramming, mathematical modeling, simulation toolsData analysis, statistics, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare sectors
Common Industry UsageEngineering, scientific research, simulation projectsBusiness intelligence, market analysis, reporting

While both internships involve data handling and technical skills, Computational Modeling Internships focus on developing and applying mathematical models and simulations, often in research or scientific contexts. Data Analyst Internships emphasize analyzing datasets to extract insights for business decisions. The choice depends on your career goals: research and modeling or data-driven business analysis.

What is a Computational Modeling Internship?

A Computational Modeling Internship is a temporary position where students or recent graduates work with organizations to develop and use computer-based models to simulate real-world systems, processes, or phenomena. Interns in this role typically use programming, mathematics, and data analysis techniques to help solve complex problems in fields like engineering, biology, physics, or finance. The internship provides hands-on experience in model development, validation, and interpretation, often supporting research or product development projects. It is an opportunity to gain practical skills, collaborate with professionals, and contribute to innovative solutions.
What are the most commonly searched types of Computational Modeling jobs in California? The most popular types of Computational Modeling jobs in California are:
What are popular job titles related to Computational Modeling Internship jobs in California? For Computational Modeling Internship jobs in California, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Internship jobs in California look for? The top searched job categories for Computational Modeling Internship jobs in California are:
What cities in California are hiring for Computational Modeling Internship jobs? Cities in California with the most Computational Modeling Internship job openings:
Computational Modeling Internship jobs near you
Infographic showing various Computational Modeling Internship job openings in California as of July 2026, with employment types broken down into 2% Internship, 72% Full Time, 23% Part Time, 2% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution.

Battery Simulation & Computational Scientist Internship

Sila

Alameda, CA • On-site, Remote

$25 - $39/hr

Other

Re-posted 28 days ago

Job description

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.

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