Head of Engineering

Lyceum; Zürich; Vor Ort; CHF 180.000 - 260.000; Vollzeit

Zusammenfassung

Lyceum is seeking a senior engineering leader in Zürich to guide the day-to-day execution of our technical team while remaining deeply hands-on in building the product. You will partner with the CTO to translate product vision into a technical roadmap, decide what gets built, and ensure timely shipping.

You will write code and review code, leading a team of experienced engineers. You will own sprint planning, architecture decisions, and hiring as we scale, balancing speed with long-term

Qualifikationen

• 7+ years in high-impact tech environments (startups, big tech or research labs).
• Background in GPU infrastructure, HPC, or compute orchestration.
• Deep proficiency in Go and Python.
• Excellent communicator aligning engineering with business priorities.
• Track record of shipping complex products in fast-moving environments.
• Experience owning end-to-end technical architecture decisions.

Aufgaben

• Lead engineering team day-to-day while remaining hands-on in product development.
• Own translation of product vision into technical roadmap with CTO.
• Drive architecture decisions balancing speed and long-term scalability.
• Set engineering quality, observability, testing, and deployment standards.

Kenntnisse

Go

Python

GPU infrastructure

HPC

Compute orchestration

Leadership

Jobbeschreibung

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

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

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