Infrastructure Engineer

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Orcrist Technologies GmbH

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

🏛️ Government

Artificial Intelligence • Enterprise • Government

Orcrist Technologies GmbH is a company that builds intelligence-fusion and decision-support solutions for complex environments, combining advanced analytics and AI to help organizations turn uncertainty into strategic advantage. The firm emphasizes enterprise and government-focused offerings, positioning itself as a provider of AI-driven operational intelligence and precision decision tools for public sector and large-organization use cases.

📋 Description

• Design, size, provision, and operate bare-metal GPU server fleets across on-prem and air-gapped environments (firmware/BIOS, BMC via Redfish/IPMI, OS, drivers) with zero-touch provisioning (PXE/iPXE, MAAS/Metal3/Tinkerbell) and automation (Ansible/Salt, Terraform/Pulumi). • Own the NVIDIA GPU stack end to end: drivers, CUDA, GPU Operator, Container Toolkit, MIG, and DCGM, tuned for inference throughput, latency, and utilization. • Build the bare-metal substrate Kubernetes runs on: node lifecycle, container runtime, GPU device plugins, node feature discovery, and kernel/NUMA tuning. • Engineer data-center networking and resilient storage (VLANs/switching, RDMA, Ceph/ZFS/NVMe) sized to scale without replacing the core, with encryption at rest. • Partner with ML and MLOps on on-prem inference serving (Triton, KServe, vLLM): model deployment, GPU scheduling and sharing, and performance tuning. • Plan and run on-site build-outs: rack integration, power/UPS and cooling sizing, commissioning, capacity planning, runbooks, and operator handover.

🎯 Requirements

• 5+ years in bare-metal, HPC/GPU, data-center, or systems infrastructure engineering, with hands-on ownership of physical and compute infrastructure. • Strong bare-metal Linux (RHEL/Rocky/Ubuntu): firmware, BMC, PXE, kernel and storage tuning, plus solid networking and storage fundamentals. • Real experience with the NVIDIA GPU stack (drivers, CUDA, GPU Operator, MIG, DCGM) and serving GPU models in production. • Comfortable operating in air-gapped or on-prem environments and traveling to customer sites for builds and deployments. • Documentation-focused, methodical, and calm during hardware incidents. Eligible to work in Germany.

🏖️ Benefits

• Modern architecture & stack. • Remote‑first in Germany with occasional team events in Berlin. • Home office budget and great equipment. • 30 days vacation. • Direct impact on critical missions across private and public‑sector customers.