GPU Platform Engineer

Lyceum

Zürich

On-site

CHF 120,000 - 180,000

Full time

14 days+

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Job summary

Lyceum is building an EU-sovereign cloud GPU platform and seeks a capable engineer to drive technical customer engagements and to develop our software stack for GPU workloads. Your role combines customer-facing responsibilities with hands-on development of managed services such as Slurm and Kubernetes, ensuring robust, scalable GPU infrastructure for our EU market, based in Zürich, Switzerland.

Collaborate with the team to ship features and improve performance, while maintaining high security

Qualifications

  • 3+ years of experience with GPU infrastructure (bare metal, VM, cloud).
  • Experience deploying and managing Kubernetes and/or Slurm clusters.
  • Hands-on NVIDIA software stack experience (drivers, CUDA, DCGM).
  • Familiar with high-performance networking (InfiniBand, NVLink, RoCE).
  • Solid networking basics (IP addressing, firewalls, VPNs, load balancing).
  • Familiar with IaC tools such as Ansible or Terraform.
  • Excellent written and spoken English.

Responsibilities

  • Handle technical customer requests during onboarding and lifecycle.
  • Contribute to building and improving managed services on top of GPU platforms.

Skills

GPU infrastructure
Kubernetes
Slurm
NVIDIA software
Networking fundamentals
English communication

Tools

InfiniBand
NVLink
RoCE
Ansible
Terraform

Job description

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 (InfiniBand, 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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