Onsite Automation QA Intern: Test Automation & Debugging

ASML; San Jose (CA); On-site; USD 25,000 - 77,000; Full time

Job summary

ASML US invites applications for an on-site San Jose internship focused on software automation and testing. The role develops automated test suites, implements feature testing scripts, and builds robust regression automation to detect issues early.

Collaboration with cross-functional teams ensures tests reflect current requirements and system behavior. The ideal candidate is pursuing an advanced degree in CS/EE/math/physics and has familiarity with Python, C/C++ or shell scripting, OS concepts,

Qualifications

• Pursuing an advanced degree in Computer Science, Electrical Engineering, Mathematics, Applied Mathematics, Physics, Applied Physics, or related field.
• Knowledge of OS, relational databases, concurrent computing, client/server architecture, networks and file systems.
• Familiar with Python, C/C++ or shell scripting.

Responsibilities

• Develop automated test suites for new features and ensure integration with existing systems.
• Implement scripts for feature testing automation with accuracy and reproducibility.
• Design and maintain regression automation to detect issues from code or system changes.
• Collaborate with cross-functional teams to refine tests based on evolving requirements.
• Build and optimize job debug automation tools for timely detection of failures and bottlenecks.
• Analyze automated debug reports and logs to identify root causes.
• Other duties as assigned.

Skills

Python

C/C++

Shell scripting

Relational database

Operating systems

Client/server

Network protocols

File system

Numerical analysis

Problem solving

Team collaboration

Education

Advanced degree in CS/EE/math/Physics

Job description

ASML US invites applications for an on-site San Jose internship focused on software automation and testing. The role develops automated test suites, implements feature testing scripts, and builds robust regression automation to detect issues early.

Collaboration with cross-functional teams ensures tests reflect current requirements and system behavior. The ideal candidate is pursuing an advanced degree in CS/EE/math/physics and has familiarity with Python, C/C++ or shell scripting, OS concepts,