Support Engineering Intern (AI & Automation Focus) (on-site)

About this role

OPSWAT , a global leader in IT, OT , and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.

The Position OPSWAT protects the world's critical infrastructure. Our technology sits between the internet and the networks that keep power grids, hospitals, airports, and manufacturing plants running — which means the problems our support team solves are real, technical, and consequential. We are looking for a Support Engineering Intern to join our Level 1 technical support team for six months. You will work alongside experienced engineers on live customer cases: investigating issues, reproducing them in lab environments, and helping customers deploy and configure our products.

This is not a shadowing program. From your first weeks you will own real tickets, with a mentor beside you. We are especially interested in people who are curious about AI and automation. Every case we handle is different, and getting to an answer means digging through logs, documentation, and past investigations. AI and good internal tooling can make that work sharper and faster — better search across our knowledge base, quicker log analysis, cleaner first drafts of technical documentation.

If that is something you enjoy exploring, you will have room to experiment here and a team that will adopt what proves useful. What You Will be Doing Customer Issue Management Work the queue of open support tickets alongside your mentor, helping ensure timely resolution. Investigate and diagnose reported technical issues — gather information, reproduce the problem, and narrow down the cause. Search internal knowledge systems (FAQs, troubleshooting guides, past tickets, product documentation, internal wikis) to find solutions before escalating.