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.
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
