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Scientific Software Developer Intern Jobs in California

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Bachelor's or Master's degree student in Computer Science or a related field. * Focus on machine ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA

$135K - $163K/yr

You will develop new methods and software tools that enable scientific knowledge discovery using ... Please note this is a scientific software/data engineering position- it is not a pure machine ...

Piper Networks Inc

Software Developer

San Diego, CA · On-site

$70/hr

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field. * 2+ years of software development experience. * Experience with transportation, IoT, embedded ...

IXL Learning

Software Engineer, Intern

San Mateo, CA

$29 - $46/hr

IXL Learning, developer of personalized learning products used by millions of people globally, is ... Computer Science or a related discipline * A solid grasp of general programming principles

Intel

$94K - $127K/yr

As a Software Development Graduate Intern , you will contribute to the design, development, testing ... You should be pursuing a Master or PhD in Computer/Electrical Engineering, Computer Science or ...

New

Intel

Software Development Graduate Intern

Folsom, CA · On-site

$94K - $127K/yr

As a Software Development Graduate Intern , you will contribute to the design, development, testing ... You should be pursuing a Master or PhD in Computer/Electrical Engineering, Computer Science or ...

Intel

Software Development Graduate Intern

Folsom, CA

$45.43 - $61.44/hr

As a Software Development Graduate Intern , you will contribute to the design, development, testing ... You should be pursuing a Master or PhD in Computer/Electrical Engineering, Computer Science or ...

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All JobsScientific Software Developer Intern JobsScientific Software Developer Intern Jobs in California

Scientific Software Developer Intern information

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How much do scientific software developer intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for scientific software developer intern in California is $22.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $23.94 per hour, depending on experience, location, and employer.

What does a scientific software developer intern do?

A Scientific Software Developer Intern assists in designing, developing, and maintaining software applications used for scientific research and data analysis. They typically work under the guidance of senior developers or scientists, contributing to coding, debugging, and testing software tools. The role often involves collaborating with researchers to understand their computational needs and implementing features that facilitate scientific experiments or simulations. Interns may also be involved in documentation and optimizing existing code for better performance. This position is ideal for students or recent graduates interested in combining software development skills with scientific problem-solving.

What are the key skills and qualifications needed to thrive as a scientific software developer intern?

To thrive as a Scientific Software Developer Intern, you need a solid background in computer science or a related field, strong programming skills (often in Python, C++, or Java), and familiarity with scientific computing concepts. Experience with version control systems (like Git), scientific libraries (such as NumPy or SciPy), and sometimes knowledge of Linux environments or HPC systems is typically required. Analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills that set candidates apart. These competencies ensure you can efficiently contribute to research-driven software projects, collaborate with scientists, and develop robust scientific applications.

How does a scientific software developer intern typically collaborate with researchers and other developers during a project?

As a Scientific Software Developer Intern, you will often work closely with research scientists to understand their computational needs and translate those requirements into software solutions. Collaboration usually involves participating in team meetings, clarifying project specifications, and regularly updating progress through code reviews or documentation. You may also pair with experienced developers to learn best practices, troubleshoot issues, and integrate your work with larger codebases. This collaborative environment helps you build both technical and communication skills while ensuring the software meets scientific objectives.

What is the difference between Scientific Software Developer Intern vs Data Scientist Intern?

AspectScientific Software Developer Intern

The Scientific Software Developer Intern typically focuses on developing and maintaining scientific applications, often requiring programming skills in languages like Python, C++, or Fortran, and a background in science or engineering. They work in research labs, academia, or industry settings on data analysis, simulation, or modeling projects.

In contrast, a Data Scientist Intern primarily analyzes large datasets, builds predictive models, and uses statistical tools and machine learning techniques. They often have expertise in Python, R, SQL, and data visualization tools, working in tech companies, finance, or consulting firms.

While both roles involve programming and data handling, the Scientific Software Developer Intern emphasizes scientific computing and simulation, whereas the Data Scientist Intern focuses on data analysis and insights.

What are the most commonly searched types of Scientific Software Developer jobs in California?

The most popular types of Scientific Software Developer jobs in California are:

What are popular job titles related to Scientific Software Developer Intern jobs in California?

For Scientific Software Developer Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Scientific Software Developer Intern jobs in California look for?

The top searched job categories for Scientific Software Developer Intern jobs in California are:

What cities in California are hiring for Scientific Software Developer Intern jobs?

Cities in California with the most Scientific Software Developer Intern job openings:

Scientific Software Developer Intern jobs near you
Infographic showing various Scientific Software Developer Intern job openings in California as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,997 per year, or $22.6 per hour.

AI Software Engineer Intern

Nirmata

San Jose, CA • On-site

Internship

Re-posted 11 days ago

Job description

About the Role:

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered features. This is a unique opportunity to contribute to a rapidly growing domain within a fast-moving startup.

What We Offer:

  • Hands-on experience with real-world software development projects
  • Mentorship from experienced software engineers.
  • An inclusive and collaborative work environment.
  • Opportunity to be part of an early stage startup.
  • Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go, orchestrated with Kubernetes, utilizing MongoDB for no-SQL data storage, and leveraging Kafka for event processing

Qualifications:

  • Education: Bachelor's or Master's degree student in Computer Science or a related field.
  • Focus on machine learning and data science.
  • AI Agents
  • MCP Servers
  • Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning.
  • Familiarity with SLMs: model design and fine-tuning
  • Interested in Kubernetes and cloud native technologies

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