About us
Lyceum is building AI-native GPU infrastructure for the next generation of deep-tech companies. We’re an early-stage team moving fast, obsessed with customer value, and focused on building a category-defining product.
Your mission
You will lead the day-to-day execution of our technical team while remaining deeply hands-on in building our product. Working closely with our CTO, you'll own the translation of product vision into technical roadmap - deciding what gets built, how it's architected, and making sure it ships. If you love the challenge of leading experienced engineers while still writing and reviewing code yourself, this role is for you.
Your focus
- Team leadership: Run the engineering team's day-to-day: sprint planning, prioritisation, code review culture, and hiring as we scale.
- Architecture ownership: Drive technical architecture decisions across our platform, balancing speed of delivery with long-term scalability.
- Product development: Be a key voice in product direction alongside the CTO, contributing both strategic thinking and hands-on implementation.
- Engineering excellence: Set the bar for engineering quality, observability, testing, and deployment practices.
Your KPIs
- Shipping velocity and consistency of the engineering team
- Feature release timelines vs. roadmap commitments
- Adoption of AI-assisted development workflows across the team
- Engineering quality metrics (incident frequency, deployment reliability)
Your profile
We consider candidates from diverse backgrounds who combine strong technical depth with the ability to lead and multiply a team. We value people who are outliers in at least one dimension, in any area of life, and who take ownership far beyond what's expected.
Requirements
- 7+ years of experience in high-impact technical environments (startups, big tech, or research labs)
- Background in GPU infrastructure, HPC, or compute orchestration
- Deep proficiency in Go and Python
- Excellent communicator who can align engineering work with business priorities
- Track record of shipping complex products in fast-moving environments
- Experience owning technical architecture decisions end-to-end
- Comfortable operating with high autonomy in an early-stage setting
Nice to have
- Experience with large-scale distributed AI inference systems
- Knowledge of NVIDIA Dynamo
- Experience with Rust
- Familiarity with infrastructure-as-product or developer platform companies
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
