Junior Member of Technical Staff – Platform Infrastructure, GPUs

Lyceum; Zürich; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

Lyceum is building a GPU platform for 10,000+ users. You will contribute to core platform services in Go and Python that allocate, schedule, and manage GPU resources for customers.

We seek someone who thrives on tough technical problems, owns the work, and enjoys performance-focused engineering in Linux environments.

Qualifikationen

• 0-2 years of work experience in a technical environment (internships count).
• Strong proficiency in Go and/or Python.
• Comfortable working in Linux environments.
• Genuine interest in infrastructure, distributed systems, or performance engineering.
• High agency

Aufgaben

• Design and build core platform services in Go and Python to manage GPU resources.
• Profile, benchmark, and optimise critical paths; investigate and fix production issues.

Kenntnisse

Go

Python

Linux

Distributed systems

Performance engineering

Tools

Kubernetes

Container runtimes

GPU tooling

Jobbeschreibung

Your mission

Work with our team on designing and building a GPU platform for 10,000+ users. You'll tackle problems across cold-start times, performance, scalability, robustness, and security - at a scale where naive approaches break and every design decision matters.

Your focus

• Platform development: Build and improve core platform services in Go and Python: the systems that allocate, schedule, and manage GPU resources for our customers.

• Performance and reliability: Profile, benchmark, and optimise critical paths. Investigate and fix issues in production.

Your KPIs

• Code shipped and components owned

• Time-to-resolution on assigned issues

• Ramp speed and expanding scope of ownership over time

Your profile

We consider candidates from diverse backgrounds, with a deep love for technical challenges and the desire to take on ownership beyond what's reasonably expected.

Requirements

• 0-2 years of work experience in a technical environment (internships count)

• Strong proficiency in Go and/or Python

• Comfortable working in Linux environments

• Genuine interest in infrastructure, distributed systems, or performance engineering

• High agency

Nice to have

• PhD or publications in large-scale systems, distributed computing, or related fields

• Competition track record - olympiads, ICPC, Kaggle etc.

• Contributions to open-source infrastructure projects

• Experience with Kubernetes, container runtimes, or GPU tooling

• Familiarity with networking, storage, or virtualisation at a systems level

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