Чётко описанная руководящая роль в растущей AI-инфраструктурной компании с большой ответственностью за важную платформу и современными задачами; стоит учитывать интенсивную практическую работу и поездки в дата-центры.
?Руководство с кодом
?Поездки на площадки
Современный стек
Инфраструктура для AI
Зона ответственности
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager, Fleet Delivery (AI) (Go/cloud infrastructure): Building an automated delivery pipeline that turns bare-metal racks into accepted GPU clusters, with an accent on provisioning, validation, burn-in, networking, and software stack installation. Focus on reducing time to acceptance, handling H100 and GB200-class fleets, and building and leading the engineering team responsible for datacenter delivery.
Location: Remote from Paris, Zurich, Madrid, Amsterdam, Warsaw, Linz, Munich, London, or Berlin; willingness to travel to datacenter sites is required when needed.
Company
Mistral AI provides full-stack AI solutions, including frontier models, developer tools, applications, and compute, and is building a sovereign AI cloud for Europe.
What you will do
Build the Go delivery pipeline for provisioning, configuration, cabling and deployment validation, burn-in, network bring-up, and software stack installation.
Build the team from scratch, hire and onboard engineers, coach them, own performance and growth paths, and establish reusable tooling standards and delivery playbooks.
Own and reduce time to acceptance from physical rack installation to customer workload readiness.
Partner with Hardware Design, Fleet Health, Product Managers, and the datacenter organization on reliability and delivery waves.
Operate GPU fleets at scale, including H100 and GB200-class nodes, InfiniBand, and RoCE fabrics.
Requirements
Experience automating bare-metal fleets and turning racks into accepted clusters.
Hardware fluency across servers, GPUs, NICs, switches, firmware, parts lists, and topology diagrams.
8+ years building backend or infrastructure systems, including at least 2 years leading engineers.
Demonstrated people leadership through hiring, coaching, and developing engineers.
Deep Linux expertise below the application layer.
Production experience shipping systems in Go.
Willingness to travel to datacenter sites when required.
Low-ego, team-first approach and strong collaboration with other engineers.
Culture & Benefits
Collaborative, low-ego, team-oriented environment focused on AI and infrastructure innovation.
Benefits may vary by country and include healthcare, parental leave, retirement plans, relocation support, wellness programs, and meal and transportation allowances.
Distributed organization across Europe, North America, Asia, and the Middle East.
Будьте осторожны
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