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Scientific Software Developer Intern Jobs in Austin, TX

Aquent

Software Developer Engineer Test

Austin, TX · On-site

$54 - $60/hr

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience. * 8+ years of experience in software testing, test ...

Oracle

Software Developer 3

Austin, TX · On-site

Specify, design and implement modest changes to existing software architecture to meet changing needs. 4+ years of software engineering experience. * BS or MS degree in Computer Science or equivalent ...

Oracle

Principal Software Developer

Austin, TX · On-site

Qualifications * 7+ years of professional software engineering experience, with demonstrated impact on backend or platform systems * BS or MS degree in Computer Science or a related field, or ...

Wsgr

Senior Software Developer

Austin, TX · On-site +1

$147K - $198K/yr

Wilson Sonsini is the premier legal advisor to technology, life sciences, and other growth ... The software developers on our team are the primary contributors to Neuron on both the frontend and ...

Aguirre & Fields

Engineering Intern

Austin, TX · On-site

$16.75 - $21.75/hr

Enrolled and actively in the process of obtaining a Bachelor of Science degree in Civil Engineering ... Experience with MicroStation or other drafting software equivalent. * Experience with Excel ...

Aguirre & Fields

Engineering Intern

Austin, TX · On-site

$16.50 - $21.50/hr

Enrolled and actively in the process of obtaining a Bachelor of Science degree in Civil Engineering ... Experience with MicroStation or other drafting software equivalent. * Experience with Excel ...

Aguirre & Fields

Engineering Intern

Austin, TX

$16.75 - $21.75/hr

Enrolled and actively in the process of obtaining a Bachelor of Science degree in Civil Engineering ... Experience with MicroStation or equivalent drafting software. * Experience with Excel Spreadsheet ...

Huxley

Software Developer III

Austin, TX · On-site

Preferred Requirements Graphical design and UX portfolio Master's degree in Computer Science ... Engineering or Design. Public git repos showing your contributions Interactive examples of prior ...

Aguirre & Fields

Engineering Intern

Austin, TX · On-site

$16.50 - $21.50/hr

Enrolled and actively in the process of obtaining a Bachelor of Science degree in Civil Engineering ... Experience with MicroStation or equivalent drafting software. * Experience with Excel Spreadsheet ...

Charles Schwab Inc.

Sr Software Developer

Austin, TX · On-site

$57.69 - $67.31/hr

As a Full Stack Software Engineer, you will play a key role in building and evolving modern ... Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

Oracle Corporation

Software Developer 3

Austin, TX · Hybrid

Specify, design and implement modest changes to existing software architecture to meet changing needs. 4+ years of software engineering experience. * BS or MS degree in Computer Science or equivalent ...

Technamo

Software Developer 3

Austin, TX

... Software Developer in Salesforce technology. The Worker will apply their expert knowledge of ... in Computer Science, Additional Information All your information will be kept confidential ...

Oracle

Software Developer 3

Austin, TX · Hybrid

Specify, design and implement modest changes to existing software architecture to meet changing needs. 4+ years of software engineering experience. * BS or MS degree in Computer Science or equivalent ...

Oracle

Software Developer 3

Austin, TX · Hybrid

Specify, design and implement modest changes to existing software architecture to meet changing needs. 4+ years of software engineering experience. * BS or MS degree in Computer Science or equivalent ...

Emerson Group

Senior Software Developer

Round Rock, TX · On-site

$50.75 - $67.25/hr

Bachelor's degree in Engineering, Computer Science, or a related STEM discipline with 7+ years of relevant software development experience, OR * Master's degree in a related field with 6+ years of ...

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Scientific Software Developer Intern information

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

As of Aug 11, 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 are popular job titles related to Scientific Software Developer Intern jobs in Austin, TX? For Scientific Software Developer Intern jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Scientific Software Developer Intern jobs in Austin, TX look for? The top searched job categories for Scientific Software Developer Intern 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:
Scientific Software Developer Intern jobs near you
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.

Software Developer Engineer Test

Aquent

Austin, TX • On-site

$54 - $60/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

Placement Type:
Temporary
Salary:
$54-60 Hourly
W2
Start Date:
Aug 28, 2026
Aquent is proud to partner with a leading enterprise in the financial services industry, a company dedicated to innovation and excellence in delivering robust, high-volume solutions that impact millions. This is an exceptional opportunity to join a team that values cutting-edge technology, quality engineering, and the responsible application of AI to redefine how software is built and tested. Your contributions will directly enhance the reliability, performance, and security of critical applications, shaping the future of financial technology.
Step into a pivotal role where your expertise in quality engineering and your passion for artificial intelligence will converge to drive significant impact. As a key contributor, you will be at the forefront of defining and executing technology-agnostic quality engineering practices across modern application stacks. You'll collaborate closely with developers, architects, product owners, and operations teams, playing a crucial role in elevating test automation, boosting release confidence, and enhancing engineering productivity. This is your chance to lead the charge in applying AI-assisted SDLC practices responsibly, ensuring the highest standards of quality and innovation, directly influencing the stability and innovation of platforms serving millions.
What You'll Do
  • Partner with product owners, developers, architects, and cross-functional teams to translate business and technical requirements into comprehensive test strategies, test cases, automation coverage, and release validation plans.
  • Design, develop, and maintain scalable automated test frameworks and test suites across various layers, including UI, API, service, integration, data, event-driven, end-to-end, regression, performance, and deployment validation.
  • Drive quality engineering best practices by integrating automated tests into CI/CD pipelines, significantly improving test reliability, reducing manual validation effort, and enabling faster, safer releases.
  • Validate distributed, high-volume, and event-driven systems, ensuring message flows, data integrity, service contracts, resilience, observability, operational readiness, and robust failure recovery scenarios.
  • Leverage AI-assisted engineering tools to enhance test design, accelerate automation development, improve test coverage, streamline documentation, bolster regression support, facilitate defect analysis, and troubleshoot efficiently, all while maintaining ownership for correctness and quality.
  • Apply prompt engineering, reusable instructions, spec-driven workflows, and agentic concepts to accelerate quality engineering activities in a responsible, reviewable, and measurable manner.
  • Create and maintain essential quality artifacts, including test plans, automation strategy, traceability matrices, defect analysis reports, validation evidence, release readiness summaries, and audit-ready documentation.
  • Collaborate with globally distributed teams, influencing quality outcomes across the entire SDLC through automation-first thinking, risk-based testing, engineering rigor, and a commitment to continuous improvement.

What You'll Bring
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.
  • 8+ years of experience in software testing, test automation, software development, or quality engineering for enterprise applications in highly available, high-volume environments.
  • Hands-on experience designing, developing, and maintaining automated test frameworks using one or more modern programming languages and test automation ecosystems.
  • Strong experience with API testing, UI automation, service validation, integration testing, end-to-end testing, regression automation, test data validation, and release validation practices.
  • Experience validating cloud-native, containerized, distributed, or service-based applications deployed on platforms such as Kubernetes, Docker, GCP, AWS, Azure, or comparable enterprise platforms.
  • Experience with SQL or NoSQL databases, including test data creation, data validation, query-based verification, and quality checks across structured or semi-structured data.
  • Strong understanding of object-oriented programming, scripting, algorithms, data structures, debugging practices, service contracts, and automation design principles.
  • Experience with CI/CD pipeline integration, source control, work tracking, and collaboration tools such as GitHub, GitLab, Azure DevOps, Jira, Rally, Confluence, or comparable platforms.
  • Working experience or exposure to messaging, streaming, or event-driven technologies such as Kafka, IBM MQ, RabbitMQ, or cloud pub/sub services.
  • Experience applying BDD, TDD, ATDD, risk-based testing, shift-left testing, quality gates, and modern quality engineering practices across the SDLC.
  • Demonstrated hands-on experience using Generative AI coding assistants across SDLC workflows, including test generation, automation development, refactoring, unit testing, regression support, code reviews, scripting, troubleshooting, and documentation.
  • Practical familiarity with AI-assisted engineering tools in IDE, CLI, or workflow-based environments.
  • Working knowledge of Generative AI concepts, responsible AI-assisted engineering practices, prompt engineering, reusable prompts, custom instructions, and AI-augmented SDLC workflows.
  • Ability to use AI tools while maintaining strong engineering judgment, code review rigor, validation discipline, data protection awareness, and quality accountability.
  • Experience applying automation and AI-driven approaches to improve testing workflows, delivery processes, operational quality outcomes, and modernization initiatives.
  • Excellent problem-solving, critical thinking, communication, and decision-making skills, with the ability to work independently in a fast-paced, team-oriented environment.
  • Understands financial services domain capabilities and operations, with experience in the financial services industry.
  • Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment.
  • Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, product owners, and adjacent teams to drive outcomes.

What Will Set You Apart
  • Experience as a Software Development Engineer in Test on an Agile Scrum, Kanban, or scaled Agile team.
  • Experience with performance, reliability, resiliency, chaos, observability, or production-readiness testing for high-volume distributed platforms.
  • Experience in the brokerage, banking, wealth management, capital markets, or broader financial services domain.
  • Experience defining automation strategy, framework standards, coding guidelines, quality metrics, and release readiness criteria across multiple teams or platforms.
  • Proficiency in creating automation design documentation, functional and technical validation notes, test process documentation, runbooks, and production or test environment documentation.
  • Exposure to AI/ML implementation concepts, Large Language Models, agentic workflows, Retrieval-Augmented Generation, or AI-assisted quality engineering practices.
  • Experience mentoring engineers or influencing teams on quality engineering, test automation, AI-assisted SDLC adoption, and continuous improvement practices.

Please note: This position is available on a W-2 employment basis only and is not open to Corp-to-Corp (C2C) arrangements. The client is also unable to provide employment-based visa sponsorship or transfers for this role.
About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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