QA Automation Software Student

The Role and Impact
As a QA Automation Software Student, you will contribute to the development and automation of software solutions for validating AI technologies. Your work will include developing automation tools and frameworks, creating and improving validation flows, debugging software issues, and exploring AI-powered and agentic workflows to improve engineering productivity and validation efficiency.

This role offers a hands-on learning experience where you will work closely with experienced software and validation engineers, gain practical experience in software development and AI technologies, and make meaningful contributions to Intel's AI validation efforts.

Key Responsibilities
- Develop and maintain software automation tools and frameworks for AI software validation.
- Create and improve automated validation flows to increase coverage, efficiency, and reliability.
- Develop Python-based tools and scripts for testing, debugging, and software validation.
- Explore and apply AI tools and agentic workflows to automate engineering and validation tasks.
- Collaborate with software, hardware, and validation engineers to debug issues and improve product quality.
- Participate in hands-on projects that contribute directly to Intel's AI validation and engineering goals while building technical expertise.

Business Group
The Data Center Group (DCG) drives innovation to deliver world-class solutions for data-centric workloads, enabling businesses to unlock their potential in a rapidly evolving digital landscape. The group advances cutting-edge technologies in AI, cloud computing, and data processing while fostering collaboration across Intel to power the future of computing.

Minimum Qualifications

- Student pursuing a B.Sc. or MSc. in Computer Engineering, Computer Science, or a related field, with at least 3 semesters remaining until graduation.
- Strong proficiency in Python programming and software development fundamentals.
- Self-motivated learner with a passion for software and tools development, system architecture, and debugging.
- Ability to learn quickly, work independently, and adapt to a dynamic engineering environment.

Preferred Qualifications
- Experience with AI tools and agentic workflows, through academic projects, personal projects, internships, or hands-on experience.
- Programming experience in C or C++.
- Familiarity with Linux, Git, CI/CD, and software development and debugging tools.

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