# Junior Member of Technical Staff – Platform Infrastructure, GPUs at Lyceum Technology

> Switzerland · Staff · DevOps / SRE / Infra · open. Source: https://alderhq.app/jobs/personio%3Alyceum-technology%3A2572969 (read 2026-11-09).

## Facts (observed)

- Company: [Lyceum Technology](https://alderhq.app/companies/lyceum-technology)
- Location text: Zürich
- Where it can be done from (inferred): Switzerland (evidence: "Location: Zürich")
- Posted: 2026-03-23 (231 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://lyceum-technology.jobs.personio.de/job/2572969
- Skills listed (inferred): Python, Go, Kubernetes, Docker, Distributed systems

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### 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, top-100 in anything

- 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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Alyceum-technology%3A2572969 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.