Vultr

2 weeks ago

Senior Manager, AI Infrastructure Operations

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead the engineering team responsible for deploying, operating, and optimizing AI compute clusters at scale. Translate AI Infrastructure roadmaps into execution milestones, drive cluster deployments and hardware bring-up, and ensure reliability through monitoring, automation, and continuous improvements. Oversee bare metal and GPU fleet lifecycle operations, manage incident response, and partner across AI/ML, SRE, Networking, Hardware, and Product to deliver performant, continuously improving AI workloads.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the engineering team implementing, scaling, and operating AI compute clusters.
•Plan and drive cluster deployments, including hardware bring-up, node configuration, and integration with orchestration and scheduling systems.
•Ensure cluster reliability, uptime, and performance through monitoring, automation, and continuous operational improvements.
•Oversee lifecycle operations for bare metal and GPU fleets, including provisioning, configuration management, firmware/driver updates, and hardware validation.
•Manage incident response for GPU and cluster infrastructure and partner with AI/ML, SRE, Networking, Hardware, and Product to meet training and inference needs.

Pay and Benefits

Salary: USD 150,000 - 160,000

Perks:Health InsuranceDentalVision401kLearning BudgetPaid LeaveSabbaticalGym Membership

Key Requirements

•6–10 years of infrastructure engineering experience in HPC or large-scale systems.
•Strong understanding of AI compute infrastructure, including GPU/CPU clusters and distributed training architectures.
•Experience operating production bare metal, GPU, or hardware fleets at meaningful scale.
•Hands-on expertise with Linux, Kubernetes or Slurm, Terraform and Ansible, and observability and networking fundamentals.
•Experience leading engineering teams while staying close to technical execution.

Experience:6-10 yearsHPCAI computeLarge-scale systemsDistributed trainingBare metalGPU fleetsObservability

Skills:LeadershipMentoringCommunicationCross-functional collaborationExecution

Tech Stack:LinuxKubernetesSlurmTerraformAnsibleInfiniBandRDMAGPUBare metal

Company Brief

Vultr

Provides cloud infrastructure services including VPS, dedicated instances, block storage, and bare metal across global data centers. Targets developers and businesses with simple, high-performance, and cost-effective cloud compute and networking solutions.

Industry: Cloud Computing

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: West Palm Beach, United States

Founded: 2014

Website LinkedIn

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Vultr

2 weeks ago

Senior Manager, AI Infrastructure Operations

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the engineering team implementing, scaling, and operating AI compute clusters.
•Plan and drive cluster deployments, including hardware bring-up, node configuration, and integration with orchestration and scheduling systems.
•Ensure cluster reliability, uptime, and performance through monitoring, automation, and continuous operational improvements.
•Oversee lifecycle operations for bare metal and GPU fleets, including provisioning, configuration management, firmware/driver updates, and hardware validation.
•Manage incident response for GPU and cluster infrastructure and partner with AI/ML, SRE, Networking, Hardware, and Product to meet training and inference needs.

Pay and Benefits

Salary: USD 150,000 - 160,000

Perks:Health InsuranceDentalVision401kLearning BudgetPaid LeaveSabbaticalGym Membership

Key Requirements

•6–10 years of infrastructure engineering experience in HPC or large-scale systems.
•Strong understanding of AI compute infrastructure, including GPU/CPU clusters and distributed training architectures.
•Experience operating production bare metal, GPU, or hardware fleets at meaningful scale.
•Hands-on expertise with Linux, Kubernetes or Slurm, Terraform and Ansible, and observability and networking fundamentals.
•Experience leading engineering teams while staying close to technical execution.

Experience:6-10 yearsHPCAI computeLarge-scale systemsDistributed trainingBare metalGPU fleetsObservability

Skills:LeadershipMentoringCommunicationCross-functional collaborationExecution

Tech Stack:LinuxKubernetesSlurmTerraformAnsibleInfiniBandRDMAGPUBare metal

Company Brief

Vultr

Industry: Cloud Computing

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: West Palm Beach, United States

Founded: 2014

Website LinkedIn