AI-Cloud Cluster Engineering Lead

Nava; Singapore; On-site; SGD 250,000 - 420,000; Full time

Job summary

Nava is building Asia’s next-generation AI-native cloud platform, seeking a Head of Cluster Engineering to lead design, orchestration, and scaling of multi-tenant accelerator fabrics for massive AI workloads. You’ll bridge deep technical expertise with strategic leadership to deliver low-latency inference and high-performance training across APAC hubs.

You will own the core systems powering our GPU clusters, drive Kubernetes/Slurm/Volcano orchestration, and partner with NVIDIA ecosystem teams to

Qualifications

• 10+ years of experience in systems, infrastructure, or cluster engineering, with at least 5 years in a senior leadership role.
• Deep expertise in Linux kernel internals, GPU driver stack (CUDA, UVM, persistence mode), and low-level firmware management (UEFI, BMC, IPMI).
• Extensive experience with NVIDIA ecosystem tools and frameworks: CUDA, NCCL, NVLink/NVSwitch, DOCA, GPUDirect, TensorRT, and BlueField DPUs.
• Proven success designing and scaling high-performance, multi-tenant GPU clusters for AI training/inference workloads at scale.

Responsibilities

• Lead design and scaling of Mesa-scale AI cloud infrastructure and multi-tenant accelerator fabrics.
• Oversee bare-metal provisioning, BIOS/UEFI configs, BMC/IPMI integrations, firmware pipelines, and host GPU driver stacks.

Skills

Linux kernel

GPU drivers

NVIDIA CUDA

NCCL

Kubernetes

Slurm

Volcano

InfiniBand

eBPF

Cilium

GitOps

Terraform

Telemetry

Tools

BIOS/UEFI

IPMI

BMC

GPU driver stack tooling

Terraform/Ansible

Job description

Nava is building Asia’s next-generation AI-native cloud platform, seeking a Head of Cluster Engineering to lead design, orchestration, and scaling of multi-tenant accelerator fabrics for massive AI workloads. You’ll bridge deep technical expertise with strategic leadership to deliver low-latency inference and high-performance training across APAC hubs.

You will own the core systems powering our GPU clusters, drive Kubernetes/Slurm/Volcano orchestration, and partner with NVIDIA ecosystem teams to