
AI Infrastructure Specialist
2 days ago
We are seeking a highly skilled Solution Architect to design and build platforms for enterprise-grade AI workloads.
The ideal candidate will have strong proficiency in container orchestration platforms, especially Red Hat OpenShift, SUSE Rancher, and CNCF Kubernetes.
- Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGM is also required.
- The candidate should have proven ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments.
- A solid understanding of high-speed networking (e.g., InfiniBand, Mellanox, RoCE) and HPC cluster management tools such as HPE Cluster Management (HPCM) or NVIDIA Base Command Manager is essential.
- Design and build platforms for AI/ML and HPC workloads using HPE Private Cloud AI and HPE AI Factory solutions.
- Collaborate with cross-functional teams to align technical solutions with business goals.
- Demonstrate success in infrastructure project delivery, including platform build-outs for AI/ML and HPC workloads.
- Strong background in Linux system administration (RHEL / SLES /Ubuntu) and virtualization (KVM or OpenShift Virtualization).
- Primary focus on HPE servers and storage; experience with Dell, Lenovo, Supermicro, NVIDIA DGX/HGX platforms is acceptable.
- Solid understanding of compute, storage, and networking fundamentals in enterprise environments.
- Familiarity with HPC workload schedulers like Slurm or Altair PBS Pro.
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