AI Compute Engineer

Mistral
Palo Alto, New York, San Francisco, Montreal
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Customer-focused","Pragmatic","Collaborative","Hands-on","Problem-solving"]

Build and operate the infrastructure behind sovereign AI, ensuring large-scale Linux environments, cloud systems, and AI workloads run reliably. Own incident response and troubleshooting to maintain high availability, performance, and security for models and compute platforms. Partner with research, product, and infrastructure teams to align systems with AI and customer needs, and help drive modernization toward cloud-native technologies like Kubernetes and GPU orchestration.

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FursaFursa
Mistral
Mistral
1 month ago

AI Compute Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and operate the infrastructure behind sovereign AI, ensuring large-scale Linux environments, cloud systems, and AI workloads run reliably. Own incident response and troubleshooting to maintain high availability, performance, and security for models and compute platforms. Partner with research, product, and infrastructure teams to align systems with AI and customer needs, and help drive modernization toward cloud-native technologies like Kubernetes and GPU orchestration.
Location: Palo Alto, New York, San Francisco, Montreal
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own and operate the infrastructure powering sovereign AI, including Linux environments, cloud systems, and AI workloads.
  • •Troubleshoot and resolve incidents to ensure high availability, performance, and security for 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 and guiding solutions.
  • •Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration.

Pay and Benefits

Perks:Parental LeaveRetirementRelocation SupportWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •Strong Linux system administration experience at scale.
  • •Proficiency in Slurm and/or Kubernetes to manage workloads effectively.
  • •Familiarity with distributed storage, high-performance networking, cloud security, or GPU/AI/ML workloads.
  • •Customer-focused mindset to diagnose, explain, and resolve technical issues for users.
  • •Pragmatic, collaborative, hands-on approach at the intersection of AI, infrastructure, and customer success.
Experience:AICloudLinuxGPU/AI/MLSovereign AI
Skills:Customer-focusedPragmaticCollaborativeHands-onProblem-solving
Tech Stack:LinuxSlurmKubernetesCloudGPU orchestrationDistributed storageHigh performance networkingCloud securityAI workloadsAI/ML

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn