AI Infrastructure Engineer

AI Infrastructure Engineer (788235)Location: OnSite in Morrisville, NC Pay Rate: Up to $55/hour Job Type: FullTime, Contract Are you an experienced GPU systems engineer passionate about building and maintaining highperformance AI infrastructure? Join our Global Fortune 500 Tech Client , a worldrenowned global technology leader at their Morrisville, NC campus and play a critical role in supporting advanced machine learning and largescale AI workloads. We're seeking a skilled AI Infrastructure Engineer who thrives at the intersection of hardware, Linux systems, and ML operations. In this role, you'll ensure GPU servers and AI clusters run at peak performance-supporting cuttingedge AI research and enterprisescale LLM training environments. What You'll Do Hardware Management & Troubleshooting Monitor, maintain, and optimize highperformance GPU servers/workstations. Diagnose and resolve hardware issues (GPU faults, cooling/power issues, component failures). Coordinate hardware repairs, upgrades, and replacements to maintain system uptime. Software & Driver Administration Install, configure, and update Linux OS (Ubuntu/CentOS), NVIDIA CUDA drivers, and supporting software. Ensure compatibility between hardware, drivers, and ML frameworks. Performance Benchmarking & Optimization Execute and analyze MLPerf or similar benchmarking suites. Identify bottlenecks and tune configurations for ML training performance. System Diagnostics & RootCause Analysis Continuously monitor system performance and stability. Investigate kernel errors, networking issues, and resource contention within training clusters. Implement corrective actions to prevent downtime and performance degradation. Infrastructure Operations Manage logging, backups, firmware updates, system patching, and cluster health. Support containerized AI infrastructure using Docker/Kubernetes. Required Qualifications 3+ years managing GPUaccelerated servers or HPC environments. Strong Linux system administration skills (shell scripting, package management, networking). Handson experience with NVIDIA GPU hardware (A100, H100, etc.) and CUDA toolkit/drivers. Familiarity with ML frameworks: TensorFlow, PyTorch, or Hugging Face. Skilled in diagnostic tools: nvidia-smi, dmesg, top/htop, Prometheus/Grafana. Solid understanding of AI infrastructure, containerization, and distributed training concepts. Excellent problemsolving abilities and proactive ownership of system reliability. Preferred Skills Experience with cluster orchestration: Slurm, Kubernetes, Ray. Knowledge of server hardware diagnostics (IPMI, BIOS configs, RAID arrays). Background in MLOps or DevOps for AI environments. Certifications such as RHCE, NVIDIA credentials, or similar. Ability to work independently in a fastpaced, highly technical environment. Why This Opportunity Stands Out Direct contribution to largescale AI and LLM infrastructure. Work on a stateoftheart enterprise campus with cuttingedge GPU hardware. Join an engineering team driving nextgeneration machine learning innovation. We're very excited about this incredible opportunity to lead in the AI Workspace with a global leader in computing. APPLY NOW! Pay Details: $45.00 to $55.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Created: 2026-03-10