LLM Infrastructure Engineer
Tufalabs · Artificial Intelligence
unknown
Salary Range (USD)
$100k - $200k
Location
Zurich, Switzerland
Visa Support
Not mentioned
Funding Stage
self-funded
Job Responsibilities
- • Develop and maintain infrastructure for pre‑training and post‑training large language models
- • Contribute to full‑stack AI research pipelines
- • Support the new GPU cluster deployment and scaling
- • Collaborate on AI capabilities and safety research initiatives
Required Skills
Experience with pre‑training large language modelsExperience with post‑training large language modelsExperience building and operating ML infrastructure
Engineering Culture & Tech Stack
driven
small-team
research-focused
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Tufalabs | Zurich, ONSITE | Full-time | 100-200k CHF | https://tufalabs.ai/
(I want to preface that we don't have a ton of budget to expand our team right now and we want to keep the team small, but I also don't want to miss someone who would be a great fit)
We are a self-funded independent AI research lab in Zurich. Currently we explore ARC-AGI3, LLM/RL reasoning, and quant. We recently started a new LLM post-training and pre-training effort, led by some ex-engineers from the swissAI Apertus team. We also like to do some Kaggle on the side, our team includes the top #3 and #12 globally.
Our overall roadmap is to catch up with LLM capabilities, own the full stack, and use it to do our own independent research, pushing efficiency and looking for new paradigms. We expect our new cluster (2x NVL GB300) to be up by the end of the month.
Long term we want to switch to AI alignment/safety research as I believe this is all that matters when AI capability is high enough.
We look for people who are driven, who believe it's possible to make significant contributions to both AI capabilities and safety, and with previous experience pre-training and post-training LLMs and related infra.
If interested, email me at benjamin at tufalabs ai.
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