AI Infrastructure Engineer

Responsibilities

• Deploy and manage large-scale GPU clusters using orchestration platforms such as Kubernetes or Slurm
• Optimize high-speed, low-latency networking (e.g., InfiniBand, RoCE v2) for distributed compute
• Work closely with Project teams and operations to plan and monitor rack density across AI infrastructure
• Implement and maintain high-throughput storage systems (e.g., Lustre, BeeGFS, WekaIO) supporting GPU-intensive workloads
• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform or Ansible
• Troubleshoot and optimize performance across compute, networking, and storage infrastructure in a mission-critical environment

Requirements

• Degree in Computer Science, Data Engineering, or related technical field
• Strong experience with Linux administration, containerization, and GPU infrastructure
• Experience with orchestration and workload management platforms such as Kubernetes or Slurm
• Familiarity with the NVIDIA infrastructure stack (CUDA, NCCL, Triton Inference Server)
• Deep understanding of NVIDIA GB300 and VR NVL72 Scalable Units’ functionality
• Experience working in HPC, AI infrastructure, or large-scale distributed compute environments
• Experience with InfiniBand, RoCE v2, or high-performance networking architectures
• Familiarity with AI-focused storage platforms such as Lustre, BeeGFS, or WekaIO
• Experience with Terraform, Ansible, or other IaC frameworks

Preferred Qualifications

• Master’s degree in a technical field
• NVIDIA, Kubernetes, or cloud infrastructure certifications

About the Company

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud, providing comprehensive computing solutions across the value chain, including ASIC chip design, datacenter construction, and advanced cloud capabilities.