h3YOUR MISSION /h3pYou will expand the capabilities of Lyceum's AI inference platform, the first EU-sovereign inference cloud. You'll own the features that customers interact with directly: model serving configurations, API surface, framework integrations, and developer experience. This means understanding what customers need, building it fast, and making sure it works reliably at scale. /ppYour focus /pulliFeature development: Design and ship new platform capabilities - from supporting new model architectures and serving frameworks to building out API features that customers are asking for. /liliCustomer-facing engineering: Work closely with customers and the commercial team to understand real-world usage patterns, translate feature requests into technical designs, and iterate based on feedback. /liliDeveloper experience: Improve the end-to-end experience of deploying and running inference on Lyceum, from initial setup through to monitoring and debugging in production. /li /ulh3Your KPIs /h3ulliNumber of platform features shipped /liliTime from customer request to feature availability /liliBreadth of supported models, frameworks, and deployment configurations /li /ulh3YOUR PROFILE /h3pWe consider candidates from diverse backgrounds, with a deep love for technical challenges and the desire to take on ownership beyond what's reasonably expected. You're someone who stays close to the rapidly evolving open-source AI ecosystem and gets energy from turning emerging tools into production-grade platform capabilities. /ph3Requirements /h3ulli3+ years of experience in software engineering, with a focus on backend or infrastructure systems /liliStrong proficiency in Go and Python /liliHands-on experience with at least one ML inference serving framework (vLLM, TGI, etc) /liliSolid understanding of how large language models and other AI models are deployed and served in production /liliExperience working with REST/gRPC APIs and designing developer-facing interfaces /li /ulh3Nice to have /h3ulliFamiliarity with GPU scheduling, batching strategies, or inference optimisation (quantisation, speculative decoding, etc.) /liliExperience with Kubernetes and container orchestration in a production setting /liliKnowledge of AI model formats and conversion pipelines (GGUF, SafeTensors, ONNX) /liliBackground in developer tools, platform engineering, or API design /li /ulh3WHY US? /h3ulliOutstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities /liliOnce in a lifetime opportunity: Early-stage company in the fastest-growing market in the world /liliOwnership: Shape how European AI companies access GPU compute /liliEuropean mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech /li /ul #J-18808-Ljbffr
Member of Technical Staff – AI Inference platform, features Arbeitgeber: Lyceum Switzerland
Lyceum bietet eine herausragende Arbeitsumgebung, in der Sie mit einigen der besten Ingenieure der Welt zusammenarbeiten können. Unser Team fördert eine Kultur des Eigentums und der Verantwortung, während wir an der Spitze des schnellstwachsenden Marktes arbeiten. Darüber hinaus bieten wir Ihnen die Möglichkeit, an innovativen Projekten zu arbeiten, die die europäische KI-Infrastruktur revolutionieren und gleichzeitig Ihre berufliche Entwicklung unterstützen.
