Vultr

3 months ago

Staff AI/ML Infrastructure Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Hands-on Staff AI/ML Infrastructure Engineer to design, deploy, and optimize GPU and bare-metal infrastructure for AI workloads. Lead hardware and software systems, automate provisioning, collaborate with vendors, mentor engineers, and drive performance at scale across containerized and physical environments.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design and maintain GPU and bare metal infrastructure in containerized and physical environments
•Build scalable GPU clusters in partnership with networking and provisioning teams
•Ensure reliable, high-performance provisioning of GPU infrastructure
•Develop automated testing systems for GPU-based platforms
•Implement infrastructure solutions for diverse AI/ML workloads

Pay and Benefits

Perks:Health Insurance401kGym MembershipSabbatical

Key Requirements

•5+ years experience with bare metal infrastructure and hardware automation
•Hands-on experience with modern NVIDIA/AMD GPU platforms and high-performance networking (RoCE, InfiniBand)
•Deep knowledge of BIOS, BMC, firmware, NICs, Redfish/IPMI, and PCIe systems
•Strong Linux systems experience including device drivers and package management
•Experience building infrastructure automation using Python and Bash

Experience:5+ yearsAI infrastructureCloud computingGPU computing

Skills:PythonBashLinuxGPURoCEInfiniBandBIOSBMCRedfishIPMIPCIeNVIDIA GPUAMD GPU

Tech Stack:PythonBashLinuxNVIDIAAMDRoCEInfiniBandBIOSBMCRedfishIPMIPCIe

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

3 months ago

Staff AI/ML Infrastructure Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design and maintain GPU and bare metal infrastructure in containerized and physical environments
•Build scalable GPU clusters in partnership with networking and provisioning teams
•Ensure reliable, high-performance provisioning of GPU infrastructure
•Develop automated testing systems for GPU-based platforms
•Implement infrastructure solutions for diverse AI/ML workloads

Pay and Benefits

Perks:Health Insurance401kGym MembershipSabbatical

Key Requirements

•5+ years experience with bare metal infrastructure and hardware automation
•Hands-on experience with modern NVIDIA/AMD GPU platforms and high-performance networking (RoCE, InfiniBand)
•Deep knowledge of BIOS, BMC, firmware, NICs, Redfish/IPMI, and PCIe systems
•Strong Linux systems experience including device drivers and package management
•Experience building infrastructure automation using Python and Bash

Experience:5+ yearsAI infrastructureCloud computingGPU computing

Skills:PythonBashLinuxGPURoCEInfiniBandBIOSBMCRedfishIPMIPCIeNVIDIA GPUAMD GPU

Tech Stack:PythonBashLinuxNVIDIAAMDRoCEInfiniBandBIOSBMCRedfishIPMIPCIe

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