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Lyceum Technology

GPU Platform Engineer

ZürichSwitzerland
full-time, permanent · IT
POSTED 17 FEBVERIFIED 18H AGO
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Role
264 days opentrue age
Posted 17 Feb
Pay
€52k–€57kno pay posted
Market p25–p75
€52k–€57k
Switzerland · n=3 · 365d to 4 Nov
CompanyLyceum Technology →
12open roles
Opened · 30d
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Closed · 30d
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Market
3,513open · Backend
Opened · 7d
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All backend
8,406open
All tracked boards · live 9 Nov · n=3,513
Node.jsKubernetesTerraform

Your mission

You will enable the expansion of Lyceum’s bare-metal and managed service GPU offering, taking our EU-sovereign cloud offering to the next step. This exciting role includes both a technical customer-facing function and the opportunity to develop and contribute to a novel software stack – changing the way GPUs are being used today.

Your focus:

This role has both a customer and a developer component. On the customer side, you’ll be responsible for technical customer requests, both during the onboarding process and later in the lifecycle. On the developer side, you’ll help to build out and improve our managed services such as Slurm or Kubernetes.

Your KPIs:

  • Response time / error resolving
  • Customer satisfaction
  • Develop and improve software offering on top of bare metal offering

Your profile

We consider candidates from diverse backgrounds, with a deep love for technical challenges and the desire to take on ownership beyond what’s reasonably expected.

What we’re looking for:

  • 3+ years of experience working with GPU infrastructure (bare metal, VM, cloud)
  • Experience with Kubernetes and/or Slurm cluster deployment and management
  • Hands-on experience with the NVIDIA software stack (drivers, CUDA, DCGM, GPU)
  • Operator Familiarity with high-performance networking (InfiniBand, NVLink, RoCE)
  • Strong Linux systems administration skills
  • Solid networking fundamentals (IP addressing, firewalls, VPNs, load balancing)
  • Familiarity with IaC tools (Ansible, Terraform, or similar)
  • Strong written and verbal communication in English

Nice to have:

  • Experience with confidential computing technologies (Intel TDX, AMD SEV-SNP)
  • Experience with NVIDIA DGX/HGX systems or multi-node GPU clusters
  • Knowledge of MIG (Multi-Instance GPU) partitioning and GPU virtualisation
  • Background in HPC or AI/ML workloads
  • Experience in a customer-facing technical role – you can explain complex infrastructure clearly and handle urgent requests professionally

Why us?

  • Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities.
  • Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world
  • Ownership: Shape how European AI companies access GPU compute
  • European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech
Source · Lyceum TechnologyFirst seen 4 NovOriginal ↗