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 Do

Run the machine:

• Collaborate 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 do

Run the models:

• Bring 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 models
• Evaluate new model releases as they land, benchmark them on our hardware for quality, throughput and latency, and recommend what we should be running
• Own quotas, routing and cost/usage reporting across teams
• Collaborate in optimizing cloud usage as well, if needed. Sometimes we do have to use closed models

Support the engineers:

• Be the go-to person for developers integrating the internal models into their tooling — IDE assistants, agents, CI pipelines, internal apps
• Maintain API keys, endpoints and documentation; write the internal guides that make onboarding self-service
• Run internal enablement: short workshops, office hours, examples of what good usage looks like
• Consider how queueing and prioritization will work. Who has priority and what long-term tasks are running over night?

💪 About You

• Coding experience

and I

nfrastructure as Code skills

(Ansible, Terraform, Docker/Kubernetes) to automate your own work

• Some

Linux systems administration

: networking, storage, containers, systemd, troubleshooting from the kernel up. IT will collaborate here, though

• Genuine

interest in the open-weight model ecosystem

— you already know which models matter this month

• Service mindset

: you enjoy unblocking other engineers and writing things down

• English

for daily work; Czech is a plus

✨

Nice to have

• Experience serving LLMs in production or a serious homelab: vLLM, SGLang, llama.cpp, Ollama or similar
• Working knowledge of NVIDIA GPU operations: drivers, CUDA, NVLink, MIG, nvidia-smi, DCGM
• Datacenter experience: rack power budgets, liquid cooling, hardware vendor support processes
• Fine-tuning / LoRA, quantization, model evaluation methodology

🤝

Why Join Trezor

• A unique opportunity to be part of a

pioneering, security-first company in the crypto industry

• A role where you can

build, implement, and see the real impact of your work

• A high level of ownership and freedom
• The chance to work in an

open-source company

where transparency, trust, and security are part of how we think

• Option to

get paid in bitcoin

• Flexible working hours

and a

supportive team

• Budget for professional development

, including training programs, courses, and workshops of your choice

• Friendly, open culture

with regular company events and fun get-togethers

• Renovated offices with a gym, massages, football table, billiards, PlayStation, 3D printer and free on-site parking
• Additional 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.