AI-Driven Test Automation Intern (6-Month)

SK hynix memory solutions; San Jose (CA); On-site; USD 48,000 - 62,000; Full time

Job summary

SK hynix memory solutions in San Jose is seeking a Test Automation Software Engineer Intern to contribute to intelligent automation systems that automate test execution and scheduling. You will design AI Agents and MCP-based integrations, build Ansible playbooks, and maintain lab infrastructure while collaborating with cross-functional teams.

The role requires Python, Bash, Linux, and automation scripting, with a focus on AI-driven testing.

Qualifications

• Pursuing or recently completed a Bachelor or Master in Electrical Engineering, Computer Science & Engineering, Mathematics, or related field.
• Experience with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) in daily engineering work.
• Proficiency in Python, bash/shell scripting, and PowerShell with automation scripts.
• Hands-on experience with Linux OS, CLI tools, scripting, and system administration.
• Strong analytical and problem-solving skills for root-cause analysis.

Responsibilities

• Design, develop, and deploy AI Agents and Agentic workflows to automate test execution and scheduling.
• Implement MCP to enable integration between AI agents and testing tools.
• Develop and maintain Ansible playbooks and automation scripts for infrastructure provisioning and test environments.
• Maintain assigned lab equipment, including enterprise servers and PCs.
• Execute test automation, monitor failures, and report results to stakeholders.

Skills

Python

Bash scripting

PowerShell

Linux

AI coding assistants

Analytical thinking

Education

Bachelor of Science (EE/CS & Engineering)

Master of Science (EE/CS & Engineering)

Tools

Ansible

OpenClaw

N8N

Hermes

Git

Jenkins

Docker

Job description

SK hynix memory solutions in San Jose is seeking a Test Automation Software Engineer Intern to contribute to intelligent automation systems that automate test execution and scheduling. You will design AI Agents and MCP-based integrations, build Ansible playbooks, and maintain lab infrastructure while collaborating with cross-functional teams.

The role requires Python, Bash, Linux, and automation scripting, with a focus on AI-driven testing.