AI Compute Engineer: Scale Linux, Kubernetes & AI Workloads

Mistral; Stockholms kommun; On-site; SEK 700,000 - 1,000,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal & transportation allowances

Job summary

At Mistral, you will build and support the infrastructure behind sovereign AI, operating Linux environments, cloud systems, and AI workloads. You’ll troubleshoot incidents to ensure high availability, performance, and security for our models and compute platforms.

Collaborate with research, product, and infrastructure teams to align systems with AI needs, while providing technical support to customers and internal teams to ensure smooth operations.

Qualifications

• Strong Linux system administration experience at scale.
• Proficiency in Slurm and/or Kubernetes to manage workloads.
• Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads.

Responsibilities

• Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
• Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms.
• Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.
• Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations.
• Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform.

Skills

Linux administration at scale

Slurm

Kubernetes

Cloud security

GPUs/AI/ML workloads

Distributed storage

Customer-focused

Job description

At Mistral, you will build and support the infrastructure behind sovereign AI, operating Linux environments, cloud systems, and AI workloads. You’ll troubleshoot incidents to ensure high availability, performance, and security for our models and compute platforms.

Collaborate with research, product, and infrastructure teams to align systems with AI needs, while providing technical support to customers and internal teams to ensure smooth operations.