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Senior AI Platform Engineer

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Location: Remote
Compensation: To Be Discussed
Reviewed: Thu, Nov 12, 2026
This job expires in: 30 days

Job Summary

To support the establishment of a new AI platform, the full-time Senior AI Platform Engineer will design, deploy, and manage on-premises AI infrastructure, focusing on NVIDIA GPU technologies and large language models while working remotely with occasional travel to the main campus.

Key responsibilities
  • Design, deploy, and manage on-premises and hybrid AI infrastructure powered by NVIDIA GPU environments
  • Deploy, optimize, and maintain locally hosted large language models and inference services
  • Build secure APIs and services to connect AI capabilities to university applications and users
Required qualifications
  • Significant professional experience in platform engineering, DevOps, or enterprise infrastructure with a focus on AI/ML environments
  • Hands-on experience with NVIDIA GPU-based AI infrastructure and NVIDIA AI Enterprise
  • Strong knowledge of Linux, networking, containers, and modern infrastructure
  • Proficiency in scripting and automation using Python, Bash, or similar tools
  • Bachelor's degree in a related technical field or equivalent professional experience

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