On-Prem AI Platform Engineer — Flexible Hours

SatoshiLabs Group

Jackson (MS)

Vor Ort

USD 110.000 - 170.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

Erhalte eine Antwort von diesem Arbeitgeber

Dein Lebenslauf und dein Anschreiben, genau auf das zugeschnitten, was gesucht wird.

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Benefits dieser Stelle

Option to be paid in bitcoin
Flexible working hours
Budget for professional development
Open, friendly culture
Renovated offices with gym and games
On-site parking and MultiSport card

Zusammenfassung

Trezor is building its own AI inference infrastructure in-house, hosting a multi-GPU server in our data center. We seek an AI Platform Engineer to own the hardware, OS, model serving stack, and user enablement, delivering end-to-end control for benchmarking, deployment, and optimization.

You will collaborate with IT and developers to wire agents, maintain API access, and write internal guides that enable self-service, while advancing the open-weight model ecosystem and ensuring secure, fast

Qualifikationen

  • Coding experience required to build and maintain AI infra.
  • Infrastructure as Code skills (Ansible, Terraform) to automate work.
  • Linux system administration and kernel-level troubleshooting.
  • Networking, storage, containers, systemd, and IT collaboration.
  • English fluency for daily work; Czech is a plus.

Aufgaben

  • Own GPU server lifecycle: OS, storage, networking, and observability.
  • Develop and run the inference stack with vLLM/SGLang/LiteLLM, Open WebUI front end.
  • Benchmark models, evaluate releases, and optimize for quality, throughput, latency.
  • Manage quotas, routing, and cost reporting across teams; assist cloud usage as needed.
  • Support engineers, create onboarding guides, run internal workshops.

Kenntnisse

Coding experience
IaC skills
Linux admin
Networking
Troubleshooting
Docker/Kubernetes
CI pipelines

Tools

Docker
Kubernetes
CUDA
nvidia-smi

Jobbeschreibung

Trezor is building its own AI inference infrastructure in-house, hosting a multi-GPU server in our data center. We seek an AI Platform Engineer to own the hardware, OS, model serving stack, and user enablement, delivering end-to-end control for benchmarking, deployment, and optimization.

You will collaborate with IT and developers to wire agents, maintain API access, and write internal guides that enable self-service, while advancing the open-weight model ecosystem and ensuring secure, fast

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