Infrastructure Support Engineer (GPUs)

TL;DR

Infrastructure Support Engineer (GPUs): Maintaining and troubleshooting high-performance GPU cloud infrastructure for AI workloads with an accent on service reliability and rapid incident response. Focus on managing Kubernetes clusters, Linux-based systems, and GPU-specific diagnostics to ensure seamless AI development for customers.

Location: Singapore (includes availability to travel to Nscale or Customer locations)

Company

Nscale is a GPU cloud provider engineered specifically for AI startups and large enterprises to reduce the complexity of AI development.

What you will do

• Handle day-to-day tickets and alerts within the support duty rotation, escalating complex incidents to Engineering.
• Resolve common issues using established runbooks and contribute to their improvement and incremental fixes.
• Monitor, troubleshoot, and triage platform issues, capturing logs and facts for efficient handover.
• Collaborate with cross-functional teams and serve as the escalation point for onsite operations staff.
• Document validated steps and contribute to training materials to build team capability.
• Identify and implement automation opportunities to optimize support processes.

Requirements

• 2-4 years of experience in support, operations, or infrastructure engineering, ideally within cloud or Data Centre environments.
• Proficiency in Linux CLI, system services, filesystems, permissions, and basic networking tools.
• Solid grasp of networking basics: IP addressing, subnets, VLANs, routing, DNS, and firewalls.
• Exposure to Kubernetes core concepts (nodes, pods, services, logs) and basic troubleshooting.
• Familiarity with GPU diagnostics such as nvidia-smi.
• Ability to write simple Bash or Python scripts and use Git for version control.

Nice to have

• Hands-on experience with Kubernetes administration, operators, or specialized storage/networking add-ons.
• Knowledge of RDMA/InfiniBand, HPC concepts, and NCCL for performance troubleshooting.
• Experience with Infrastructure as Code tools like Ansible or Terraform.
• Participation in GitOps and CI/CD pipelines using GitHub Actions.
• Experience with security tooling such as Teleport or Vault.

Culture & Benefits

• Culture of relentless innovation, ownership, and accountability.
• Commitment to openness, transparency, and an open-source approach to build trust.
• Dedicated focus on sustainability and reducing the environmental impact of AI technologies.
• Fast, efficient, and respectful collaboration within a global team.
• Inclusive environment with an equal opportunities statement for diverse backgrounds.