AI Enablement Engineer: NVIDIA on Kubernetes (Hybrid)

Ampstek

Stockholms kommun

Ibrido

SEK 900.000 - 1.300.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Ampstek is seeking an infrastructure-focused engineer to deploy, configure and validate an AI software stack on Kubernetes for a private Enterprise AI platform running on VMware and NVIDIA GPUs in Stockholm. The role is hybrid with 2 days per week in office.

You will deploy NVIDIA AI Enterprise on Kubernetes, enable GPU sharing, expose metrics with Prometheus and Grafana, validate components on the VKS platform, and run scalability tests for GPU and storage clusters.

Competenze

  • Experience with NVIDIA AI Enterprise on Kubernetes and GPU utilization.
  • Experience deploying and validating AI software stacks on Kubernetes.
  • Strong knowledge of Prometheus, Grafana, and DCGM exporter for monitoring.
  • Hands-on experience with LLM inference serving (NIM, Triton, or vLLM).
  • Active security clearance.
  • Fluent English, written and spoken.

Mansioni

  • Deploy and configure VMware Private AI Foundation with NVIDIA and NVIDIA AI Enterprise components, including NIM microservices and NeMo Guardrails
  • Configure GPU sharing (MIG and/or vGPU time-slicing) for efficient GPU use across workloads
  • Expose GPU and LLM workload metrics to Prometheus (e.g. DCGM exporter) with Grafana dashboards
  • Validate AI components on the Kubernetes (VKS) platform
  • Run and document scalability tests for GPU and storage clusters

Conoscenze

Fluent English
Security clearance

Strumenti

NVIDIA AI Enterprise on Kubernetes
GPU sharing with MIG or vGPU
Kubernetes in production
Helm
Prometheus & Grafana monitoring
DCGM exporter
LLM inference serving (NIM, Triton or vLLM)

Descrizione del lavoro

Ampstek is seeking an infrastructure-focused engineer to deploy, configure and validate an AI software stack on Kubernetes for a private Enterprise AI platform running on VMware and NVIDIA GPUs in Stockholm. The role is hybrid with 2 days per week in office.

You will deploy NVIDIA AI Enterprise on Kubernetes, enable GPU sharing, expose metrics with Prometheus and Grafana, validate components on the VKS platform, and run scalability tests for GPU and storage clusters.

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