Engineering Team Lead, Bare-Metal Infra & GPU Compute

Mistral.ai; Paris; Sur place; EUR 110 000 - 150 000; Plein temps

Avantages offerts par ce poste

Healthcare coverage

Relocation support

Wellness programs

Résumé du poste

Mistral.ai seeks a senior infrastructure leader to build and scale its datacenter delivery platform. You will design and ship the stack that turns hardware into reliable clusters, lead the first engineering hires, and own performance metrics across the deployment pipeline.

You will collaborate with hardware design, fleet health, and product teams to plan deployment waves, manage GPU fleets, and push for rapid, reliable delivery across datacenter sites. A low-ego, team-first mindset is essential.

Qualifications

• 8+ years building backend or infrastructure systems.
• At least 2 years of people leadership.
• Deep Linux knowledge.
• Shipped production systems in Go.
• Willing to travel to datacenter sites.
• Low-ego, team-first mindset.

Responsabilités

• Build the delivery pipeline in Go: provisioning, configuration, validation, burn-in, network bring-up, software stack install.
• Build the team from scratch: hire, onboard and coach; set tooling standards and playbooks.
• Own time-to-acceptance and drive it down by analyzing and removing bottlenecks.
• Collaborate with Hardware Design and Fleet Health to improve reliability at delivery.
• Handle GPU fleets at scale: H100, GB200-class nodes, InfiniBand/RoCE fabrics.
• Coordinate with Product Managers and datacenter org to plan delivery waves against capacity.

Connaissances

Go production

Linux expertise

Engineering leadership

Backend systems

Description du poste

Mistral.ai seeks a senior infrastructure leader to build and scale its datacenter delivery platform. You will design and ship the stack that turns hardware into reliable clusters, lead the first engineering hires, and own performance metrics across the deployment pipeline.

You will collaborate with hardware design, fleet health, and product teams to plan deployment waves, manage GPU fleets, and push for rapid, reliable delivery across datacenter sites. A low-ego, team-first mindset is essential.