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# Software Development Engineer

- **Company:** Experis
- **Location:** Redmond, WA, United States (Remote available)
- **Experience:** Starter
- **Salary:** $74,568.0 - $79,040.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Scientific Computating, Software Engineering, Large Language Models, Software Troubleshooting, Information Technology
- **Published:** July 2, 2026
- **Apply:** https://www.experis.com/en/job/403119/software-development-engineer-

## About the Role

Our client, a leader in scientific computing and data science support, is seeking a dedicated Software Development Engineer to join their innovative team. As a Software Development Engineer, you will be part of the Scientific Computing Support Department supporting data scientists and software development projects. The ideal candidate will demonstrate strong problem-solving skills, effective communication, and a passion for cutting-edge technology, which will align successfully within the organization., Top 3 Must-Have HARD Skills & years of experience for each:

 * Minimum of 1 to 2 years of experience with GitHub
 * Minimum of 1 to 2 years of understanding and familiarity with AI/LLM technologies and machine learning concepts of API/MCP
 * Minimum of 1 to 2 years of experience using software engineering practices in scientific applications and exposure to simulations, computational science, or related domains, * 1-2 years of experience with GitHub or similar version control systems.
 * Understanding and familiarity with AI, large language models (LLMs), and machine learning concepts.
 * Experience applying software engineering practices within scientific applications, including simulations or computational science.
 * Basic knowledge of computer hardware and software troubleshooting.
 * Degree in computer science, software engineering, or a relevant field is required.

## Description

* Maintain and manage customer-facing GitHub repositories to ensure smooth collaboration and code quality.
 * Develop, test, and optimize software solutions tailored for scientific and data science workflows.
 * Apply programming skills to solve complex scientific problems and workflows, including simulation and machine learning activities.
 * Contribute to the development of reusable assets and publish community resources to promote best practices.
 * Support AI/LLM tools and integrate them into scientific applications, leveraging familiarity with AI technologies.


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