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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…
Senior engineer who defines how GPU infrastructure health is measured, validated and communicated for Firmus's AI Cloud — building trusted health signals, golden dashboards, alerts, diagnostics (DCGM, NCCL, stress tests) and runbooks so teams can bring capacity online safely and recover from failures fast. Core stack: Linux, Python, GPU fault diagnosis, PromQL/LogQL/Grafana telemetry.
Owns application security for Firmus AI Cloud — its public APIs, multi-tenant control plane, and AI agents — by building CI/CD security gates (SAST, DAST, SCA, SBOM), leading threat modeling, shipping secure paved roads, and automating SOC 2/ISO 27001 evidence. Hands-on coding in Python, Go, or TypeScript.
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.
Owns end-to-end UX design and front-end delivery for Firmus's AI cloud products — the AI Cloud Portal, Global Operations Console, and Bare Metal/Kubernetes-as-a-Service offerings — turning complex GPU infrastructure, scheduling, benchmarking, and agentic operations into clear, trustworthy interfaces. Blends product design (Figma, design systems) with front-end engineering (React/TypeScript).
Designs, deploys, and secures high-performance networks for AI data centers — working with NVIDIA InfiniBand, Spectrum Ethernet, and RoCE/RDMA fabrics for GPU clusters — while automating network changes with IaC and enforcing zero-trust security. Based in Singapore; suits an engineer with 8+ years in networking and a security focus.
Owns the incident and change management practices behind Firmus's 24/7 AI infrastructure (GPU cloud/AI Factory) operations: severity model and major incident command, change calendar and records, runbook programme, operational acceptance, compliance evidence, and service health reporting. Blends ITIL rigour with SRE methods using ITSM tooling like ServiceNow, Jira Service Management or PagerDuty.
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