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Test Automation Software Engineer Intern

Summary

Build AI-driven test automation agents using MCP, N8N, and Python to automate test execution and scheduling for semiconductor memory solutions.

About the Company:

At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.

We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.

Internship Duration: 6 months

Hours: 40 hours per week

Start Date: Immediately

About the Role:

We are seeking a highly motivated Software Engineer in Test Automation and Agentic workflows. In this role you will contribute to the design and build of intelligent automation systems that automate test execution, optimize test scheduling, and create scalable frameworks that quality teams will use.

The ideal candidate will have hands-on experience with Model Context Protocol (MCP) and proficiency with modern automation tools such as N8N, OpenClaw, and Hermes. You will work at the intersection of AI and test automation, leveraging your expertise in Ansible, Linux, and Python to create next-generation testing solutions that drive efficiency and innovation across our organization.

Responsibilities:

  • Design, develop, and deploy AI Agents and Agentic workflows to automate test execution and test scheduling processes.
  • Implement Model Context Protocol (MCP) to enable seamless integration between AI agents and various testing tools and systems.
  • Develop and maintain Ansible playbooks and automation scripts for infrastructure provisioning, configuration management, and test environment setup.
  • Responsible to upkeep and maintenance of assigned lab equipment such as Enterprise servers and Computer PCs.
  • Execute test automation, monitor and triage failures, and report results to stake-holders.

Minimum Qualifications:

  • Currently pursuing or recently completed a Bachelor of Science or Master of Science degree in Electrical Engineering, Computer Science & Engineering, Mathematics, or a related field.
  • Productive use of AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) in day-to-day engineering.
  • Proficiency in Python, bash/shell scripting, Powershell programming with demonstrated experience in building automation scripts and applications
  • Hands-on experience working with Linux operating systems, including command-line tools, shell scripting, and system administration
  • Candidate must possess strong analytical and problem solving skills to help in finding root cause and resolution of problems
  • Experience with OS installation, Linux CLI and network setup

Preferred Qualifications:

  • Understanding of test automation principles, CI/CD pipelines, and software testing methodologies
  • Knowledge or experience with Git, Jenkins and Dockers is a plus.
  • Experience with NVMe SSDs and NVMe controllers is a plus.

COMPENSATION: $35/hr - $45/hr

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter

  • Preferred First Name optional
  • LinkedIn Profile optional
  • Website optional
  • When do you graduate? If you have not graduated yet, how do plan to work 40 hours for this internship? written answer
  • This role requires you to work onsite 5 days a week at our San Jose location. Is that a requirement you can meet? choose one
  • Can you complete a 6 month internship starting immediately?
  • What is your current work authorization? written answer
  • Will you now or in the future require sponsorship to work in the U.S.? choose one
  • Where are you currently located?
  • If you are not located in San Jose, CA are you willing to relocate? choose one

See also