Python Modernization & Automation Intern

Quantum Design

San Diego (CA)

On-site

USD 44,083 - 52,348

Part time

14 days+

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Job summary

Quantum Design in San Diego, CA is seeking a Software Engineering Intern focused on Python modernization and automation. You will convert legacy Python 2.7 scripts to Python 3, improve code maintainability, and help prepare software for global manufacturing use.

These tools support automated data analysis and reporting across multiple product lines. You will gain hands-on experience refactoring code, migrating from SVN to Git, and developing deployment procedures for test-floor users,

Qualifications

  • Currently pursuing a bachelor’s degree in computer science, software engineering, data science, or related field with two years of completed coursework.
  • Experience coding projects in Python.

Responsibilities

  • Analyze and convert Python 2.7 scripts to Python 3.x.
  • Verify software functionality through unit and regression testing.
  • Refactor and modularize code for maintainability and reuse.
  • Improve documentation and developer resources.
  • Migrate assets from SVN to Git-based version control.
  • Create deployment and installation procedures for test-floor users.
  • Develop automation tools to streamline deployment and maintenance.
  • Collaborate with engineers and technicians to improve usability.
  • Perform code reviews, testing, debugging, and troubleshooting.
  • Present technical recommendations to stakeholders.

Skills

Python programming

Education

Bachelor's degree in CS/Software Eng/Data Science

Job description

Quantum Design in San Diego, CA is seeking a Software Engineering Intern focused on Python modernization and automation. You will convert legacy Python 2.7 scripts to Python 3, improve code maintainability, and help prepare software for global manufacturing use.

These tools support automated data analysis and reporting across multiple product lines. You will gain hands-on experience refactoring code, migrating from SVN to Git, and developing deployment procedures for test-floor users,

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