Staff HPC Engineer

🕒 Agosto 19

🏄 California, Texas – Remoto

🏄 California – Remote 🤠 Texas – Remote

⏰ Tempo Integral

🔴 Especialista

👷🏻‍♀️ Engenheiro

👻 Score fantasma 21%

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Bitdeer Group

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

📦 Logística

🏗️ Construção

💰 Post-IPO Equity em 2023-05

Consulting • Logistics • Construction

A Bitdeer Technologies Group (Nasdaq: BTDR) é uma líder na indústria de blockchain e computação de alto desempenho. É uma das maiores detentoras mundiais de hash rate proprietário e fornecedoras de hash rate. A Bitdeer está comprometida em fornecer soluções de computação abrangentes para seus clientes.

Descrição

• Design, deploy, and operate production Slurm clusters on bare metal and virtual machines • Own Slurm cluster architecture, lifecycle, multi-tenant scheduling policy, and reliability across GPU infrastructure • Configure high availability, authentication, topology-aware GPU scheduling, accounting, partitions, QOS, fairshare, preemption, reservations, and tenant TRES limits • Lead adoption of the Slinky slurm-operator and evaluate slurm-bridge for Kubernetes workload co-scheduling • Shift GPU nodes between Slurm batch-training queues and Kubernetes inference capacity using elastic-capacity mechanisms • Operate Pyxis/Enroot and OCI/containerd job paths, supporting MPI/PMIx, module/Spack environments, and customer images • Build passive and active GPU-cluster health checks with automatic drain and job requeue • Own rack burn-in and acceptance testing before paid workloads are scheduled • Deliver reproducible clusters through Terraform, Ansible, golden images, PXE, Redfish, and IPMI • Instrument queue wait time, allocation efficiency, GPU utilization, and job failures through Prometheus/Grafana • Integrate Slurm accounting and GPU-hours with metering and invoicing pipelines • Write runbooks and tenant documentation, onboard and support enterprise customers, handle escalations, and mentor platform engineers

🎯 Requisitos

• 8+ years in HPC, systems, or cloud infrastructure engineering • 4+ years operating production Slurm clusters at 100+ GPU-node scale with real users and service-level commitments • Deep hands-on expertise with slurm.conf, gres.conf, topology.conf, cgroup.conf, partitions, QOS, fairshare, preemption, reservations, slurmdbd accounting, slurmrestd, MUNGE/SACK and JWT authentication, and live-cluster version upgrades • Strong GPU and fabric fundamentals, including NVIDIA drivers, Fabric Manager, DCGM, MIG, InfiniBand/RoCEv2, subnet manager/UFM, rail-optimized topology, GPUDirect RDMA, and NCCL tuning and failure diagnosis • Production Kubernetes experience and working knowledge of operator/CRD patterns • Hands-on exposure to at least one Slurm-on-Kubernetes stack: Slinky slurm-operator or slurm-bridge, CoreWeave SUNK, or Nebius Soperator • Experience delivering bare-metal and virtualized compute, including provisioning, firmware/BIOS lifecycle management, KVM/QEMU or public-cloud-equivalent VM clusters, and Terraform/Ansible automation • Working knowledge of parallel and shared storage such as Lustre, GPFS/Spectrum Scale, WEKA, VAST, or NFS • Proficient in Python and Bash for cluster automation • Clear written and verbal communication in English • Go experience is a plus

🏖️ Benefícios

• Equal employment opportunities in accordance with country, state, and local laws