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# Data Center Lab Operations Engineer

- **Company:** CareerCircle
- **Location:** Reno, NV, United States
- **Experience:** Expert
- **Salary:** $72,800.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Systems Engineering, Software Quality, Data Centers, Data Center Infrastructure Management (CIM), Software Debugging, Linux, Domain Name System (DNS), Firmware, Networking Hardware, IP Addressing, Python (Programming Language), Linux System Administration, Machine Learning, Networking Basics, Network File Systems, Network Administration, Ansible, Software Engineering, System Testing, TCP/IP, Network Switches, Network Routing, Graphics Processing Unit (GPU), Transport Layer Security, High Performance Computing, Infrastructure Automation Frameworks, Operational Systems, Slurm, Hardware Infrastructure, Network Server
- **Published:** September 9, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/nv/reno/ba27320c-30a1-4894-b725-b75610d32417

## About the Role

Operations
Leadership
Management
Automation
Data Centers
Communication
Problem Solving
Asset Management
Safety Assurance
Machine Learning
Influencing Skills
Business Valuation
Process Improvement
Systems Engineering
Mechanical Aptitude
Network File Systems
Full Stack Development
Hardware Installations
Artificial Intelligence
Business Transformation
Performance Engineering
Hardware Troubleshooting
Infrastructure Management
Software Quality (SQA/SQC)
High Performance Computing
Python (Programming Language)
Influencing Without Authority
Troubleshooting (Problem Solving)
Slurm (Batch Scheduling Software), * 5+ years of experience supporting data centers, engineering labs, compute environments, or similar infrastructure operations.

 * Strong understanding of Linux and Windows administration.
 * Experience troubleshooting hardware, servers, networking, and operating systems.
 * Knowledge of networking fundamentals including TCP/IP, DNS, NFS, SSL, and related protocols.
 * Experience with scripting and automation tools such as Python, Shell, or Ansible.
 * Familiarity with DCIM tools and asset management platforms.
 * Strong documentation, communication, and problem-solving skills.
 * Ability to work cross-functionally with both technical and non-technical stakeholders., * Experience supporting HPC or AI/ML compute clusters.
 * Familiarity with Slurm, BCM, or other cluster management platforms.
 * Experience working with GPUs, server hardware, PCBs, and system validation environments.
 * CCNA or similar infrastructure certification.
 * Knowledge of storage, networking, and dense data center architectures.
 * Experience with liquid cooling technologies.
 * Strong mechanical aptitude and comfort working with tools and hardware installations., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

We are seeking a Data Center Lab Operations Engineer to support a high-performance compute environment used for developing and validating next-generation technologies. This role will partner closely with engineering, QA, and operations teams to maintain critical infrastructure, troubleshoot complex hardware and software issues, and drive continuous improvements across compute and testing operations., * Support and maintain a large-scale compute farm consisting of builders, testers, packagers, and supporting infrastructure.

 * Collaborate with hardware, software, QA, and systems engineering teams to deploy, troubleshoot, and optimize engineering environments.
 * Monitor system health, availability, and performance while ensuring SLA targets are achieved.
 * Lead troubleshooting and recovery efforts for infrastructure, hardware, and software incidents.
 * Assist with server deployments, hardware installations, upgrades, and maintenance activities.
 * Develop and maintain SOPs, documentation, and operational processes.
 * Collect and analyze infrastructure metrics to drive improvements in reliability and efficiency.
 * Implement automation and process improvements using scripting and infrastructure management tools., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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