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Project Manager delivering Firmus' Tailem Bend AI Factory capital project end to end — from gateway approval through design, procurement, construction, commissioning and handover to operations — while controlling programme, budget, safety and quality and directing consultants, contractors and vendors on site.
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…
Leads end-to-end delivery of large-scale AI infrastructure programs at a global AI cloud provider, bridging engineering, operations, and business teams to drive efficient, sustainable AI compute platforms.
Lead end-to-end delivery of large-scale AI infrastructure programs, bridging engineering, operations, and business teams to ensure efficient, sustainable AI compute rollouts for customers and internal platforms.
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.
Owns the operational security of Firmus's large-scale GPU AI infrastructure: securing a multi-tenant Kubernetes estate (admission policy, workload identity, network policy), building eBPF-based runtime detection and enforcement, owning delivery-pipeline security gates, and acting as the senior escalation point for security faults on a 24/7 roster.
Role Summary Firmus Technologies is seeking an experienced AI Engineer to design, develop, implement and maintain the MLOps and AIOps foundations for Firmus AI Factory, our AI platform, to make it trustworthy,…
Senior AI Product Manager at Firmus Technologies in Singapore, acting as the product-definition, delivery-planning, and release-execution lead for the AI & Applications team. Day to day this means owning the sprint-based roadmap for GPU cloud capabilities like workload orchestration, benchmarking, training/inference recipes, and agentic applications, using agile practices.
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.
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