Key Responsibilities

• Support the deployment, configuration, and maintenance of high-performance AI infrastructure servers, storage servers, networking equipment, and software components in secure environments.
• Assist with hardware diagnostics, system functionality checks, and firmware updates as required.
• Collaborate with engineering teams to help deliver tailored customer environments (e.g., bare-metal systems, Kubernetes, Slurm, etc.).
• Provide first-line engineering support for onsite operational issues, including troubleshooting hardware, network, and software problems, and firmware compliance.
• Document incident details, resolutions, and lessons learned to improve future problem-solving.
• Maintain clear, accurate, and up-to-date documentation to support knowledge sharing across the team.
• Participate in team meetings and knowledge-sharing sessions to foster collaboration and continuous learning.

Qualifications & Requirements

• Currently pursuing or recently completed a Bachelor's or Master's degree in computer engineering, computer science, or a related technical field.
• Basic understanding of server hardware, firmware lifecycle, and Linux environments, with an awareness of physical and system-level security standards.
• Exposure to scripting languages such as Bash or Python.
• Familiarity with — or strong interest in — configuration management, CI/CD tools, workload managers, and cluster software (e.g., Slurm, Kubernetes), and observability tools (e.g., Prometheus, Grafana, ELK).
• Strong problem-solving and analytical skills.
• Ability to work both independently and as part of a team.
• Professional fluency in English and Mandarin is highly preferred

Preferred Qualifications

• Coursework, projects, or hands-on experience related to AI Infrastructure, distributed systems, or cloud infrastructure.
• Familiarity with networking fundamentals and Linux system administration.
• Genuine interest in AI/ML infrastructure.