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Scientific Software Developer Intern Jobs in Austin, TX

We are hiring a Scientific Software Developer to join our client-facing solution delivery team. Working agent-first, you will pair deep scientific expertise with agentic AI coding tools to move from ...

Software Developer Internship (Summer 2027)

Austin, TX ยท On-site

$19 - $25/hr

As a Software Developer Intern at Quantiq, you will work in our Austin office, both independently ... A degree in a field such as computer engineering, computer science, mathematics or a related field ...

Software Developer Internship (Summer 2027)

Austin, TX ยท On-site

$19 - $25/hr

As a Software Developer Intern at Quantiq, you will work in our Austin office, both independently ... A degree in a field such as computer engineering, computer science, mathematics or a related field ...

Quantitative Developer Intern

Austin, TX ยท On-site

$19 - $25/hr

Developing software to automate valuation and execution of trades. What You'll Bring * First ... Our team is made up of physicists, economists, computer scientists, and engineers; the best ...

Software QA Intern

Austin, TX ยท On-site

$18.75 - $24.50/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Software QA Intern

San Marcos, TX ยท On-site

$18.50 - $24.25/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

AI/ML Engineer Intern Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Internship ... Collaborate with Software Engineers and Data Scientists. * Document experiments, model performance ...

As a Software Engineer Intern on the Robot Software Team, you will be responsible for writing ... Evidence of exceptional ability in engineering or computer science * Experience in writing ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software ...

As a Software Engineer Intern on the Brain Interfaces Software Team, your responsibilities will ... Evidence of exceptional ability in engineering, mathematics, or computer science * Strong ...

As a Software Engineer Intern on the Robot Software Team, you will be responsible for writing ... Evidence of exceptional ability in engineering or computer science * Experience in writing ...

As a Software Engineer Intern, you will be placed in one of the technology organizations at Visa ... Students pursuing a Bachelor's degree in Computer Science, Computer Engineering, CIS/MIS ...

As a Software Engineer Intern, you will be placed in one of the technology organizations at Visa ... Students pursuing a Bachelor's degree in Computer Science, Computer Engineering, CIS/MIS ...

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Scientific Software Developer Intern information

See Austin, TX salary details

$11

$22

$39

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

As of Aug 10, 2026, the average hourly pay for scientific software developer intern in Austin, TX is $22.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $24.09 per hour, depending on experience, location, and employer.

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 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 most commonly searched types of Scientific Software Developer jobs in Austin, TX? The most popular types of Scientific Software Developer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Scientific Software Developer Intern jobs? Cities near Austin, TX with the most Scientific Software Developer Intern job openings:
Infographic showing various Scientific Software Developer Intern job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $47,202 per year, or $22.7 per hour.

Scientific Software Developer

Enthought

Austin, TX โ€ข On-site

Full-time

Posted 11 days ago


Job description

We are hiring a Scientific Software Developer to join our client-facing solution delivery team. Working agent-first, you will pair deep scientific expertise with agentic AI coding tools to move from research question to working software - building data-driven models, AI-based decision-support tools, and analysis pipelines for the world's leading R&D organizations.
Key Responsibilities
  • Design end-to-end scientific solutions - apply deep knowledge of statistics, optimization, machine learning, and related areas to translate client R&D problems into architectures spanning data, models, and user-facing applications.
  • Work agent-first - use AI coding assistants and autonomous coding agents as your default way to explore data, prototype models, build software, write tests, and produce documentation, compressing the path from research question to working solution.
  • Direct AI agents like a technical lead - decompose scientific and engineering problems into well-scoped tasks, give agents the domain context and scientific constraints they need, and iterate toward correct, defensible results.
  • Solve complex research and product-development problems in close collaboration with client researchers and business leaders.
  • Build data-driven models, AI-based decision-support tools, and automated analysis pipelines, and assemble them into web-based solutions involving GUIs, 2D and 3D graphics, and cloud computing.
  • Design AI-enabled and agentic capabilities into client solutions where they add value - held to the same rigor as any other component.
  • Apply judgment about where AI and generative approaches fit and where they don't, balancing speed against reliability and reproducibility.
  • Take part in collaborative development practices - code review, architecture reviews, sprint planning, retrospectives, and daily standups - and interface directly with clients to define, demonstrate, and refine solutions.
  • Handle client data and intellectual property responsibly, using AI tools only in approved, secure configurations.

What We Offer
  • Meaningful impact - your work directly advances scientific breakthroughs, from accelerating drug discovery to developing sustainable materials.
  • A front-row seat to agentic AI - work at an automation-first company where every role directs AI tools, and help define how the industry puts them to work.
  • World-class colleagues - collaborate with some of the smartest, kindest scientists and engineers around.
  • Continuous learning - access to Enthought's training programs in Python, machine learning, and scientific computing.
  • A global, collaborative culture across our Austin, Cambridge, and Tokyo offices.
  • Flexible hybrid work based out of our Austin office.
  • Competitive compensation and benefits.

Who Thrives Here
Everyone at Enthought shares a common set of traits: exceptional integrity, analytic intelligence, a sense of urgency, the ability to simplify the complex, openness in communication, empathy for people, and endurance. If you are endlessly curious, take full ownership of your work, and are excited to help shape how science gets done in the era of agentic AI, you will feel at home here.
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