About the Role

You will work with our GPU infrastructure and LLMOps teams on live customer projects, from system installation and monitoring to model deployment and testing, gaining exposure to the full AI infrastructure stack.

Responsibilities

Support the installation and configuration of Linux, drivers and containers on GPU servers.
Deploy and test open-weight models on vLLM in Kubernetes.
Develop automation scripts in Python, Bash or Ansible.
Build monitoring dashboards with Prometheus and Grafana.
Run benchmarks and report on latency and throughput.
Document work and prepare runbooks.

Qualifications

Third- or fourth-year undergraduate or master's student in computer engineering, computer science or a related field.
Working knowledge of the Linux command line.
Programming skills in Python or Bash.
Basic understanding of networking and containers.
Available full-time for the duration of your program's internship period.

Preferred Qualifications

Experience with Docker or Kubernetes in academic or personal projects.
Experience running LLMs locally or in the cloud.
A GitHub portfolio of projects.

Tools and Technologies

Linux
Python
Docker
Kubernetes
vLLM
Prometheus
Grafana
Ansible

Working at Zotect

Work across the full AI infrastructure stack, from data centers, networking and GPUs to model serving.
Deliver production systems for customers in Thailand, Singapore and the United States.
Work closely with leadership in an engineering-led company.
Our office is located in the Gaysorn Building on Ploenchit Road, next to BTS Chit Lom.

How to Apply

To apply, send your CV and any relevant portfolio links to hr@zotect.com with the position title in the subject line.

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