Location: Berlin or Zürich (Hybrid/On-site)
Type: Full-time

About Lyceum

Lyceum is building a user-centric GPU cloud from the ground up. Our mission is to make high-performance computing seamless, accessible, and tailored to the needs of modern AI and ML workloads. We're not just deploying infrastructure — we’re designing and building our own large-scale GPU cluster from scratch. If you've ever wanted to help shape a cloud platform from day one, this is your moment.

The Role

We're looking for a systems-minded software engineer to lead the design and implementation of our orchestration and scheduling systems. This is a foundational role — you’ll be building the core of our infrastructure that determines how jobs run across thousands of GPUs. You’ll work closely with our hardware, backend, and data teams to create a robust orchestration layer using open-source tools and custom-built logic. You'll need to balance performance, reliability, and user experience, all while moving quickly.

What You’ll Do

• Design and implement job scheduling systems from scratch, using tools like Kubernetes and Slurm

• Build scalable, fault-tolerant orchestration logic for heterogeneous GPU workloads

• Collaborate with other engineers to define APIs and interfaces for job submission, monitoring, and management

• Optimize resource allocation, startup latency, and throughput

• Make architectural decisions that will shape the platform long-term
  
  

What We’re Looking For

• High sense of ownership — you like building from the ground up

• Strong software engineering skills, especially in systems or infrastructure

• Hands-on experience with Kubernetes, Slurm, or similar orchestration frameworks

• A background in SRE, platform engineering, or distributed systems is a strong plus

• Curiosity and creativity in solving infrastructure challenges

• Comfort working in fast-moving, unstructured environments
  
  

Bonus Points

• Experience scaling compute infrastructure at a cloud provider or high-performance computing org

• Familiarity with GPU workloads or ML/AI job patterns
  
  

Why Join Us

• Build from zero: This is a rare opportunity to join a startup at the earliest stages and shape not just the product, but the foundation of the company. You’ll have real ownership over what you build — and the freedom to do things right from the beginning.

• Hard, meaningful problems: We’re tackling some of the most interesting challenges in cloud infrastructure, scheduling, and performance optimization — at the intersection of hardware and AI.

• World-class hardware: You’ll be working directly with cutting-edge GPU hardware and helping build the most performant compute platforms in Europe.

• Everything else: Compensation, equity, healthcare, team events etc – it’s our job to make sure you have everything you need to do your thing!