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Designs, automates, and secures high-performance network infrastructure for AI compute clusters, focusing on InfiniBand, Spectrum Ethernet, and RoCE technologies in Singapore.
Firmus Technologies Firmus Technologies is a global leader pioneering the development and operation of efficient AI infrastructure across Asia Pacific. Founded in Australia in 2019, our mission is to create the most…
Hands-on senior engineer who runs Firmus's fleet-scale, multi-tenant Kubernetes estate underpinning AI FactoryOS and its AI Cloud — owning cluster lifecycle, control-plane recovery, GPU integration, tenant onboarding and the automation/remediation tooling that keeps it running 24/7. Core stack: Kubernetes internals, etcd, Go/Python, GitOps and NVIDIA GPU tooling.
Infrastructure Automation Engineer, AI Cluster Commissioning Role is open for candidates with existing Australian working rights. These are the top requirements you must qualify for: 5+ years of experience developing…
Principal-level Kubernetes engineer designing and building production-grade cluster lifecycle, networking, storage, and automation for GPU-accelerated bare-metal AI infrastructure, primarily using Kubernetes, Go, and cloud-native tooling.
Deploy and commission high-performance AI networking infrastructure, focusing on low-latency interconnects like Ethernet and RDMA. You will automate configurations using Ansible and Python, manage network security, and perform deep-dive diagnostics for large-scale GPU clusters using NVIDIA Spectrum and RoCE technologies.
Designs and oversees Firmus’s AI-ready backbone network architecture, ensuring scalable, resilient, and vendor-neutral connectivity for AI infrastructure across terrestrial and subsea networks.
Design and implement energy-efficient AI infrastructure solutions, advising customers on high-performance GPU clusters and AI workloads while bridging technical needs with Firmus’s AI Factory platform.
Principal Solutions Architect for AI Data Infrastructure at Firmus Technologies, owning architecture/evaluation/optimization of storage, memory, and caching systems for AI Factory and AI Cloud. Core technologies include NVMe, NVMe-oF, parallel/software-defined storage, low-latency fabrics (RDMA/RoCEv2/InfiniBand), and next-gen memory (CXL, disaggregation, KV-cache).
A Site Reliability Engineer supporting day-to-day operations of Firmus's AI-accelerated HPC (AI Factory) infrastructure in Melbourne: deploying and maintaining GPU, storage and network servers, handling firmware, first-line troubleshooting and on-call incident response. Core stack includes Linux, Bash/Python scripting, Kubernetes, Slurm, and observability tools like Prometheus and Grafana.
Senior AI engineer building and running Firmus's self-hosted AI model inference platform on its GPU cloud — onboarding models, provisioning secure scalable endpoints, optimizing LLM serving performance (quantization, batching, parallelism), and benchmarking runtimes like TensorRT-LLM, vLLM, and Triton on NVIDIA CUDA/Kubernetes infrastructure.
Designs, builds, and operates a proprietary Kubernetes-native job scheduler that orchestrates training, fine-tuning, inference, batch, and agentic workloads across massive-scale GPU AI factories. The role is heavy on Go-based Kubernetes controller/scheduler engineering, topology-aware GPU placement (NVLink/NVSwitch, RDMA), and observability.
Firmus Technologies is hiring a Network Architect in Singapore to lead the design and deployment of physical network infrastructure and architecture for its AI Factories and GPU cloud. Day to day this spans InfiniBand/high-speed Ethernet interconnects, fibre optic cabling, network security, monitoring, on-call support, and project delivery for AI cluster builds.