Назад
1 день назад

Engineering Manager, Fleet Delivery (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
France/UK/Poland +5 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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.

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