GPU-Accelerated AI Cloud Engineer

Alarm; Tysons, Northern (VA, KY); Hybrid; USD 100,000 - 135,000; Full time

Benefits offered by this job

Medical plans with subsidies

Health Savings Account with company -?

401(k) with employer match

Paid vacation

Paid holidays and wellness time

Job summary

Alarm.com is seeking a Cloud Systems Engineer to deploy and operate GPU-accelerated AI and HPC compute infrastructure. You will manage Linux environments, hardware lifecycle, and incident response while collaborating with AI engineering, networking, and storage teams.

Ideal candidates have hands-on Linux expertise, hardware troubleshooting skills, and experience with GPU-centric data workloads. The role emphasizes reliability, scalability, and operational excellence in a fast-paced environment.

Qualifications

• 3-5 years of Linux systems administration experience in production environments.
• 3-5 years of experience supporting enterprise server infrastructure.
• Experience supporting large-scale compute environments, HPC platforms, AI infrastructure, or GPU-enabled systems.
• Experience performing hardware diagnostics, firmware management, and lifecycle maintenance.
• Experience working within datacenter operations environments.
• Bash, Python, PowerShell, or similar scripting languages.
• Operating system performance tuning and monitoring.
• Storage and networking fundamentals.
• Experience with infrastructure monitoring and observability platforms, e.g. Grafana.
• Hardware and firmware lifecycle management.

Responsibilities

• Deploy, configure, and maintain GPU-accelerated compute infrastructure.
• Manage OS, firmware, BIOS, BMC, driver, and software lifecycle updates.
• Monitor system health, performance, utilization, and capacity.
• Support AI model training, inference, and data processing workloads.
• Develop and maintain runbooks and maintenance procedures.
• Participate in on-call support and incident response.
• Administer enterprise Linux environments (Ubuntu, Red Hat).
• Perform system patching, hardening, and OS lifecycle management.
• Troubleshoot OS, kernel, storage, networking, and app-level issues.
• Develop automation to streamline deployment and monitoring.
• Support security and compliance initiatives across AI infra.

Skills

Linux administration

Bash

Python

PowerShell

System performance tuning

On-call support

Networking fundamentals

Storage fundamentals

Observability (Grafana)

Hardware troubleshooting

Tools

Grafana

BMC

Job description

Alarm.com is seeking a Cloud Systems Engineer to deploy and operate GPU-accelerated AI and HPC compute infrastructure. You will manage Linux environments, hardware lifecycle, and incident response while collaborating with AI engineering, networking, and storage teams.

Ideal candidates have hands-on Linux expertise, hardware troubleshooting skills, and experience with GPU-centric data workloads. The role emphasizes reliability, scalability, and operational excellence in a fast-paced environment.