AI Platform Engineer

We’re Trezor, a leading company in crypto security that has pioneered the hardware wallet industry as the inventor of the world’s first hardware wallet.We’re building our own AI inference infrastructure, a dedicated multi-GPU server hosted in our datacenter, so that Trezor employees can use large language models on hardware we control, with no data ever leaving our premises. We are looking for an AI Platform Engineer to own that machine end-to-end: the hardware and OS underneath it with IT’s help, the model serving stack on top of it, and the people who use it every day.This is a hands-on, broad role. Some days you will be benchmarking a newly released open-weight model, another one sitting with a developer helping them wire an agent into their workflow.If you like owning a system completely rather than a narrow slice of one, this is for you.👉 What You’ll DoRun the machineCollaborate with IT on owning the full lifecycle of our GPU server: OS, storage, networking…Set up observability — GPU utilization, thermals, memory, request latency, throughput — and alerting that actually catches problems before users doRun the modelsBring to life an inference stack (vLLM / SGLang, LiteLLM as a gateway, Open WebUI as the front end as an example)Deploy, upgrade and tune open-weight modelsEvaluate new model releases as they land, benchmark them on our hardware for quality, throughput and latency, and recommend what we should be runningOwn quotas, routing and cost/usage reporting across teamsCollaborate in optimizing cloud usage as well, if needed. Sometimes we do have to use closed modelsSupport the engineersBe the go-to person for developers integrating the internal models into their tooling — IDE assistants, agents, CI pipelines, internal appsMaintain API keys, endpoints and documentation; write the internal guides that make onboarding self-serviceRun internal enablement: short workshops, office hours, examples of what good usage looks likeConsider how queueing and prioritization will work. Who has priority and what long-term tasks are running over night?💪 About YouCoding experience and Infrastructure as Code skills (Ansible, Terraform, Docker/Kubernetes) to automate your own workSome Linux systems administration: networking, storage, containers, systemd, troubleshooting from the kernel up. IT will collaborate here, thoughGenuine interest in the open-weight model ecosystem — you already know which models matter this monthService mindset: you enjoy unblocking other engineers and writing things downEnglish for daily work; Czech is a plusNice to haveExperience serving LLMs in production or a serious homelab: vLLM, SGLang, llama.cpp, Ollama or similarWorking knowledge of NVIDIA GPU operations: drivers, CUDA, NVLink, MIG, nvidia-smi, DCGMDatacenter experience: rack power budgets, liquid cooling, hardware vendor support processesFine-tuning / LoRA, quantization, model evaluation methodology🤝 Why Join TrezorA unique opportunity to be part of a pioneering, security-first company in the crypto industryA role where you can build, implement, and see the real impact of your workA high level of ownership and freedomThe chance to work in an open-source company where transparency, trust, and security are part of how we thinkOption to get paid in bitcoinFlexible working hours and a supportive teamBudget for professional development, including training programs, courses, and workshops of your choiceFriendly, open culture with regular company events and fun get-togethersRenovated offices with a gym, massages, football table, billiards, PlayStation, 3D printer and free on-site parkingAdditional benefits such as a MultiSport card, company mobile phone tariff, yoga, fitness classes, and more👋 Interested? We’d love to hear from you. Send us your CV and a few words about yourself, and we’ll get back to you as soon as we review your application.