Platform Software Engineer In Test ( Internship)

ASML • San Jose, CA

13h

About The Position

As a Software Quality Assurance Intern, you will help ensure the quality, reliability, and performance of software supporting ASML products. You will join the Platform Software Quality Assurance team and contribute to testing activities across multiple software platforms, working with software developers, hardware engineers, and application engineers to evaluate new features, identify issues, and improve software quality throughout the development lifecycle. The internship provides hands-on experience with modern testing practices in a complex, high-performance computing environment and exposure to semiconductor technology.

Requirements

• Currently pursuing a bachelor's or master's degree in computer science, electrical engineering, mathematics, or a related field.
• Junior or senior standing, or graduate-level student.
• Understand operating systems, relational databases, networking concepts, and client-server architectures.
• Demonstrate familiarity with concurrent computing concepts and file system management.
• Understand software development lifecycles and quality assurance methodologies.
• Use programming or scripting languages such as Python, C++, Perl, or Shell scripting.

Nice To Haves

• Previous coursework, academic projects, research, or internship experience related to software development, software testing, or system engineering.

Responsibilities

• Contribute to testing activities across multiple software platforms.
• Evaluate new software features, identify issues, and help improve software quality throughout the development lifecycle.
• Apply analytical thinking and numerical problem-solving to investigate software behavior.
• Troubleshoot technical issues and identify root causes.
• Communicate technical information clearly to technical and non-technical audiences.
• Collaborate effectively in a cross-functional team environment.
• Use AI-assisted engineering tools responsibly for learning, coding, test design, and documentation while protecting confidential information.
• Evaluate AI-generated outputs for accuracy, reliability, security, and relevance before applying them to engineering work.

What This Job Offers

• Career Level: Intern