Staff Slurm Cluster & HPC Engineer

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.

• Slurm cluster architecture and lifecycle — Design, deploy, and operate production Slurm clusters on bare metal and VMs: slurmctld/slurmdbd high availability, slurmrestd, configless slurmd, SACK/MUNGE and JWT authentication, and rolling version upgrades on live clusters without losing running jobs.
• Topology-aware scheduling for GPU fabrics — Model the physical fabric in topology.conf — topology/tree for rail-optimized InfiniBand/RoCE designs and topology/block for NVLink domains such as GB200/GB300 NVL72 — and prove placement quality with NCCL bandwidth and multi-node training validation rather than assumption.
• Multi-tenant scheduling policy — Own the account/association tree, partitions, QOS, fairshare, preemption, reservations, and per-tenant TRES limits. Enforce fail-closed defaults: an unresolved tenant identity or an empty entitlement set must deny, never degrade into unrestricted access.
• Slinky on Kubernetes — Lead implementation of the Slinky slurm-operator, including its NodeSet, LoginSet, Accounting, RestAPI, and Token custom resources, cert-manager and Helm-based delivery, shared parallel-storage mounts, and login pods running sackd/sshd. Evaluate and pilot slurm-bridge for co-scheduling Kubernetes Pods, PodGroups, Jobs, JobSets, and LeaderWorkerSets through the Slurm scheduler, and document its constraints — notably exclusive whole-node allocation — before any customer exposure.
• Elastic capacity between Slurm and Kubernetes — Use Slurm cloud and power-save mechanisms (ResumeProgram/SuspendProgram, SuspendTime, ResumeTimeout) together with fleet automation to shift GPU nodes between batch training queues and Kubernetes inference capacity as demand moves.
• Container and job runtime — Operate Pyxis/Enroot and OCI/containerd job paths with correct gres.conf, cgroup v2 device constraints, and CUDA VISIBLE DEVICES behavior; support MPI/PMIx, module/Spack environments, and customer-supplied images.
• Cluster health and reliability engineering — Build the passive and active health-check system expected of a top-tier GPU cloud: prolog/epilog checks, LBNL NHC or equivalent, DCGM diagnostics, and detection of XID/SXID errors, ECC faults, PCIe errors, GPUs falling off the bus, IB/RoCE link flaps, and NCCL stalls — with automatic drain and job requeue. Own burn-in and acceptance testing for every new rack before it carries paid work.
• Automation and infrastructure as code — Deliver clusters through Terraform/Ansible, golden images, and bare-metal provisioning (PXE, Redfish, IPMI) so that a cluster build is reproducible, reviewable, and auditable rather than hand-tuned.
• Observability, accounting, and billing integration — Instrument queue wait time, allocation efficiency, GPU utilization, and job failure taxonomy through a Slurm exporter into Prometheus/Grafana; configure AccountingStorageTRES and TRESBillingWeights, and reconcile sacct/sreport GPU-hours against the platform's metering and invoicing pipeline.
• Technical leadership and customer engagement — Write runbooks and tenant-facing documentation, onboard and support enterprise customers, act as escalation point for cluster incidents, and mentor platform engineers on Slurm and HPC scheduling practice.

• 8+ years in HPC, systems, or cloud infrastructure engineering, including 4+ years operating production Slurm clusters at 100+ GPU-node scale with real users and service-level commitments.
• Deep hands-on Slurm expertise: slurm.conf, gres.conf, topology.conf, cgroup.conf, partitions/QOS/fairshare/preemption/reservations, slurmdbd accounting, slurmrestd, MUNGE/SACK and JWT authentication, and version upgrades performed on live clusters.
• Strong GPU and fabric fundamentals: NVIDIA drivers and Fabric Manager, DCGM, MIG, InfiniBand/RoCEv2 (subnet manager/UFM, rail-optimized topology), GPUDirect RDMA, and practical NCCL tuning and failure diagnosis.
• Production Kubernetes experience and working knowledge of the operator/CRD pattern, plus hands-on exposure to at least one Slurm-on-Kubernetes stack — Slinky slurm-operator or slurm-bridge, CoreWeave SUNK, or Nebius Soperator — with an informed view of the tradeoffs between them.
• Experience delivering both bare-metal and virtualized compute: bare-metal provisioning and firmware/BIOS lifecycle management, hypervisor or VM-based clusters (KVM/QEMU or a public-cloud equivalent), and Terraform/Ansible-driven automation.
• Working knowledge of parallel and shared storage for AI workloads — Lustre, GPFS/Spectrum Scale, WEKA, VAST, or NFS — and of how storage behavior shapes job performance and failure modes.
• Proficient in Python and Bash for cluster automation; Go experience is a plus for integrating with Bitdeer AI's platform control plane and with Slurm/Slinky REST client code.
• Multi-tenant security discipline: derives tenant scope from a verified identity rather than client-supplied fields, designs authorization to fail closed, and treats isolation across accounts, namespaces, storage, and networks as a hard requirement.
• Clear written and verbal communication in English, with the maturity to work directly with enterprise customers and to translate scheduling and reliability tradeoffs for product, sales, and executive stakeholders.

• A culture that values authenticity and diversity of thoughts and backgrounds;
• An inclusive and respectable environment with open workspaces and exciting start-up spirit;
• Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
• Ability to contribute directly and make an impact on the future of the digital asset industry;
• Involvement in new projects, developing processes/systems;
• Personal accountability, autonomy, fast growth, and learning opportunities;
• Attractive welfare benefits and developmental opportunities such as training and mentoring.

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