Forward Deployed Engineer AI Inference
Lyceum
Forward Deployed Engineer AI Inference
Lyceum
European sovereign GPU cloud for AI workloads
You will own the technical side of our largest and most complex inference deals, from first discovery call to go-live. You're the trusted technical counterpart for our customers' CTOs and ML leads, you design the setups that run their models, and you work hand in hand with our commercial team to get deals closed.
You'll be one of two senior technical owners of our inference deals. Together with our Inference Sales Engineering lead, you'll also turn what we learn in the field into a repeatable playbook and product.
Own the technical side of our largest and most complex inference deals end to end, from discovery to go-live
Be the senior technical counterpart for customers' CTOs and ML leads on architecture, sizing, SLAs, latency/throughput trade-offs and cost
Design dedicated inference setups: model choice, GPU type and count, parallelism, quantization, inference engine and configuration
Lead benchmarks and proofs of concept, and turn the results into clear recommendations
Scope customer customizations with our engineering team and decide what becomes product
Build the playbook and tooling for matching workloads to GPUs, and feed our roadmap with what you learn in the field
Work in tandem with our commercial team on pricing, proposals and the technical parts of contracts
A degree in computer science, data science or a closely related field
4+ years in a customer-facing technical role, e.g. solutions or sales engineer, forward deployed engineer, ML engineer working closely with customers, or technical consultant
Hands-on experience with LLM inference and model serving (e.g. vLLM, SGLang, TensorRT-LLM, Triton) and GPU sizing
A track record of owning the technical side of complex B2B deals, ideally with enterprise customers
You're credible with customer CTOs and engineers alike, and you explain trade-offs clearly
Entrepreneurial mindset: give you an outcome, and you find a way without getting blocked
Fluent English
Experience at an inference provider, GPU cloud or AI infrastructure company
Benchmarking and performance optimization: throughput, latency, cost per token
Experience with quantization, parallelism strategies, KV-cache and batching
Startup experience
German
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
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.
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