h3About Lyceum /h3 pLyceum 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 clusters from scratch. If you've ever wanted to help shape a cloud platform from day one, this is your moment. /p h3The Role: GPU Cloud Engineer (Core Infrastructure) /h3 pWe’re looking for a GPU Cloud Engineer to join our core product team and help build the foundation of our infrastructure software. You’ll work on the low-level systems that power our fast, performant, and privacy-conscious GPU cloud, directly shaping how AI workloads are run, scheduled, and secured across thousands of GPUs. /p pThis is a central role in our core product development. We’re tackling a broad range of infrastructure challenges and don’t expect you to have experience with all of the below points. If one or more of the areas spark your interest, we’d love to talk. /p h3What we are working on /h3 ul liScheduling and orchestration of compute jobs in a low-latency environment /li liSecurity privacy features to ensure isolation and safety across users /li liReducing container startup times in the cloud /li liImproving model loading speed for a broad range of use-cases /li liGPU fractionalisation, adaptive load balancing and cross-GPU workload allocation /li /ul pYou’ll collaborate closely with our core engineering and hardware teams to design and implement solutions that balance performance, reliability, and user experience for an entire data center. /p h3What We’re Looking For /h3 ul liHigh sense of ownership, you like building from the ground up /li liUrgency and comfort working in fast-moving environments /li liCuriosity and creativity in solving infrastructure challenges /li /ul h3Bonus Points /h3 ul liExperience scaling compute infrastructure at a neocloud provider or high-performance computing org /li liFamiliarity with GPU workloads or ML/AI job patterns /li liA background in SRE, platform engineering, or distributed systems /li liExperience with Kubernetes, Terraform Ansible /li /ul h3Why Join Us /h3 ul liBuild 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. /li liHard, 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. /li liWorld-class hardware: You’ll be working directly with cutting-edge GPU hardware and helping build the most performant compute platforms in Europe. /li liEverything else: Compensation, equity, healthcare, team events etc – it’s our job to make sure you have everything you need to do your thing! /li /ul pLyceum is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. /p #J-18808-Ljbffr
GPU Cloud Engineer Arbeitgeber: Lyceum
Als Compute Markets Associate bei uns erwartet Sie eine herausragende Arbeitsumgebung, in der Sie mit einem talentierten Team von Ingenieuren zusammenarbeiten, die aus Hedgefonds, großen Technologieunternehmen und führenden Universitäten stammen. Wir bieten Ihnen die Möglichkeit, in einem schnell wachsenden Markt zu arbeiten und aktiv an der Gestaltung der europäischen AI-Infrastruktur mitzuwirken. Darüber hinaus fördern wir Ihre persönliche und berufliche Entwicklung durch innovative Projekte und ein unterstützendes Arbeitsklima, das auf Zusammenarbeit und Kreativität setzt.
