AI Infrastructure Engineer | Degree | Kaki Bukit | 5 Days | Up To $7K - 4461
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Must-have:Node.jsKubernetesCloudDevOpsAILead
Nice-to-have:AWSAzureGoogle Cloud
AI Infrastructure Engineer Salary: $5,000 to $7,000 Working Days: Mon - Fri | 8.30am to 5.30pm Location: Kaki Bukit
Job Scopes:
Compute & Cluster Management
- Architect, configure, and maintain high-density multi-GPU compute clusters (e.g. NVIDIA HGX/DGX architectures).
- Implement and manage container orchestration platforms (Kubernetes, Slurm, or Ray) optimized for AI/ML distributed workloads.
- Monitor GPU health, telemetry, utilization, and thermals; minimize idle compute time and prevent single-node bottlenecks.
High-Performance Networking & Storage
- Design and optimize low-latency, lossless network fabrics supporting distributed training (InfiniBand, RoCE v2, NVLink, spine-leaf topologies).
- Configure and scale high-throughput parallel file systems and object storage (e.g. Lustre, GPFS/IBM Spectrum Scale, Ceph, MinIO, NVMe-oF) to feed high-speed data pipelines.
Automation & Infrastructure as Code (IaC)
- Build and manage automated deployment pipelines using Terraform, Ansible, Helm, or Pulumi.
- Maintain standard golden images, Linux OS tuning (kernel parameters, NUMA node binding, GPU drivers, CUDA/cuDNN libraries), and firmware updates.
Operations, Observability & Performance
- Set up end-to-end monitoring, alerting, and metrics dashboards (Prometheus, Grafana, DCGM exporter, NVIDIA System Management Interface).
- Partner with AI/ML engineering teams to diagnose network bottlenecks, NCCL communication latency, and I/O wait states during distributed training jobs.
- Lead incident response, root-cause analysis (RCA), and disaster recovery plans for mission-critical AI environments.
Requirements:
- Bachelor’s Degree in Computer Science, Information Technology, Computer Engineering, or equivalent practical experience.
- 3–6+ years of hands-on experience in infrastructure engineering, high-performance computing (HPC), DevOps, or cloud infrastructure.
- Relevant certifications are a plus (e.g., CKA/CKAD, NVIDIA Certified Associate/Professional, AWS/Azure/GCP Solutions Architect).
Email: supreme.jacksontan@gmail.com Tan Yong Zhi (Jackson) | Reg: R24124461 The Supreme HR Advisory Pte. Ltd | EA No: 14C7279