Lyceum

European sovereign GPU cloud for AI workloads

Forward Deployed Engineer Intern - AI Inference

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours

InternshipBerlin, GermanyNo salary listedIn-person

About the Job

Requirements

The candidate must be studying computer science, data science, or a closely related field.
The candidate should have an interest in or first exposure to AI inference, large language models, inference engines, or GPUs.
The candidate should be excited about customer-facing work and the commercial side of the role, not only technical work.
The candidate must communicate confidently with customers and engineers.
The candidate should be able to pursue outcomes independently and remain calm and constructive when their ideas are challenged.
The candidate must be fluent in English.

Responsibilities

Match customer requirements to suitable models, GPUs, and configurations for dedicated inference.
Run technical sessions with customers and help them make informed decisions.
Work with the commercial team to move deals forward.
Support serverless and API customizations and help turn recurring customizations into product features.
Translate customer needs into clear technical specifications for the engineering team.
Collect benchmarks and learnings to help automate matching and customizations.

Desired Qualifications

Coursework or projects involving inference engines or machine-learning systems, such as vLLM, SGLang, or TensorRT-LLM.
Experience with GPU sizing, model serving, benchmarking, or performance optimization.
A previous internship at an AI infrastructure or inference company.
Startup experience.
German language skills.

The Role

As a Forward Deployed Engineer Intern, you own the technical side of our AI inference deals. You help customers figure out which models, GPUs and configurations fit their needs, run technical sessions with them, and work hand in hand with our commercial team to get deals closed.

This is not a pure engineering role: you'll spend a lot of time with customers, and we're looking for someone who enjoys exactly that. Much of this work is still manual today – you'll help us turn it into product.

What You'll Do

Match customer requirements to the right models, GPUs and configurations for dedicated inference
Run technical sessions with customers and help them make confident decisions
Work in tandem with our commercial team to move deals forward
Support serverless and API customizations, and help turn recurring ones into product
Translate customer needs into clear technical specs for our engineering team
Collect benchmarks and learnings that help us automate matching and customizations

What We're Looking For

Studies in computer science, data science or a closely related field
Interest in or first exposure to AI inference: LLMs, inference engines, GPUs
Real excitement about working with customers and the commercial side – not just the technical one
Strong communication skills: you talk confidently to customers and engineers alike
An entrepreneurial mindset: give you an outcome, and you find a way without getting blocked
You stay calm and constructive when your ideas are challenged
Fluent English

Bonus Points

Coursework or projects on inference engines or ML systems (e.g. vLLM, SGLang, TensorRT-LLM)
Experience with GPU sizing, model serving, benchmarking or performance optimization
A previous internship at an AI infrastructure or inference company
Startup experience
German

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 the Company

Lyceum

European sovereign GPU cloud for AI workloads

Lyceum builds a sovereign GPU cloud platform that makes high-performance computing for AI workload easy and local to Europe. It operates a software layer that abstracts infrastructure so users can deploy AI models with a single click from their IDE. The platform automates hardware selection, offers upfront transparent pricing, and schedules elastic workloads to prevent overprovisioning and reduce DevOps costs. Lyceum runs its own European data-center hardware, including a liquid-cooled facility in Paris, ensuring data sovereignty and residency for customers, with NVIDIA Blackwell B200 GPUs deployed early. This positions Lyceum as a European alternative to US-based hyperscalers. Its goal is to broaden access to powerful AI compute in Europe by expanding its engineering and commercial teams, securing hardware partnerships, and building more data centers to maintain control over performance, cost, and data governance.

Company size: 11-50
Company stage: Seed
Total funding: $11.3M
Headquarters: Zurich, Switzerland
Founded: 2025

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