Senior AI Infrastructure Engineer High Performance Compute
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