inferact - Member of Technical Staff, Cluster Administration

• Bachelor's degree or equivalent experience in computer science, engineering, systems administration, or similar. • Hands-on experience administering large compute clusters, HPC environments, university or research clusters, supercomputing systems, or production GPU clusters. • Strong Linux systems administration fundamentals across networking, processes, storage, package management, shell scripting, logs, access control, and system debugging. • Experience operating GPU servers, including driver management, GPU health monitoring, node failures, memory errors, scheduler issues, and hardware diagnostics. • Experience with cluster scheduling and resource allocation using SLURM, Kubernetes, or equivalent tooling. • Ability to own urgent infrastructure incidents end-to-end when compute issues are blocking engineering teams. • Ability to automate operational workflows using Bash, Python, Ansible, Terraform, Helm, or similar tooling. • Experience operating GPU compute across providers such as Lambda, CoreWeave, Crusoe, Nebius, Together, Fireworks, RunPod, or similar environments. • Experience improving cluster utilization, reducing idle or unavailable GPU capacity, and debugging scheduling or resource contention issues. • Familiarity with high-performance GPU networking such as InfiniBand, RoCE, NVLink / NVSwitch, RDMA, NCCL, or equivalent systems. • Experience with storage for HPC or ML workloads, including NFS, Lustre, Ceph, distributed filesystems, or other high-throughput storage systems. • Experience managing secure access, identity, permissions, SSH, VPNs, bastion hosts, secrets, and basic infrastructure security hygiene. • Background in research computing, scientific computing, ML infrastructure, SRE, platform engineering, or infrastructure operations for engineering-heavy teams. • Managed GPU or HPC infrastructure in a university lab, national lab, research institution, AI infrastructure company, hedge fund, HFT firm, or large-scale ML platform team. • Built monitoring, alerting, runbooks, health checks, or remediation workflows that materially reduced operational toil or incident resolution time. • Operated Kubernetes clusters for ML or GPU workloads at meaningful scale. • Standardized provisioning, diagnostics, monitoring, and operating patterns across multiple compute providers. • Carried real operational responsibility for infrastructure used by many engineers or researchers. • Location: This role is based in Singapore. • Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is S$200,000 to S$400,000 annually + equity. • Visa sponsorship: We sponsor visas on a case-by-case basis. • Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage.