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GPU Platform Engineer

Job in Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listing for: Lyceum
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CHF Yearly CHF 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

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
  • 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 (Infini Band, NVLink, RoCE)
  • 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
About us

Lyceum is building AI-native GPU infrastructure for the next generation of deep-tech companies. We’re an early-stage team moving fast, obsessed with customer value, and focused on building a category-defining product.

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