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Senior AI Infrastructure Engineer High Performance Compute

Newbridge


Job Location:

Singapore - Singapore

Monthly Salary: Not provided by the employer
Posted: 24 October 2026 (6 hours ago)
Application Deadline: 21 January 2027
Vacancies: 1 Vacancy

Job Summary

Confidential AI & High-Performance Compute Platform. Our client is now powering the next wave of AI inference and real-time rendering workloads on their own GPU cloud.

Why This Role Is Exciting:
This is a GREENFIELD GPU cloud build. You will not just maintain GPUs you will architect how thousands of GPUs are deployed virtualized and delivered as a service for AI customers. High demand cutting-edge stack (H100 A100 L40S) zero legacy.

What You Will Own:

  • Architect deploy and operate large-scale GPU infrastructure bare metal orchestration
  • Optimize GPU performance drivers CUDA networking (InfiniBand RoCE) and virtualization
  • Build automation for GPU provisioning monitoring and multi-tenancy
  • Support AI / ML customers with high-performance GPU workloads

Who You Are:

  • 4 years with GPU Systems / HPC / AI Infrastructure
  • Hands-on with NVIDIA GPUs CUDA driver stack GPU operator Kubernetes
  • Strong Linux and networking fundamentals experience with high-performance fabrics
  • Bonus: Experience with GPU cloud providers CoreWeave / Lambda / Vultr style platforms