A
AI Infrastructure Engineer (788235)
Adecco
Contract
Remote friendly (North Carolina)
United States
AI Infrastructure Engineer (788235)
Location: On Site in Morrisville, NC
Pay Rate: Up to $55/hour
Job Type: Full Time, Contract
Are you an experienced GPU systems engineer passionate about building and maintaining high performance AI infrastructure? Join our Global Fortune 500 Tech Client, a world renowned global technology leader at their Morrisville, NC campus and play a critical role in supporting advanced machine learning and large scale 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 cutting edge AI research and enterprise scale LLM training environments.
What You'll Do
Hardware Management & Troubleshooting
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:
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.
Location: On Site in Morrisville, NC
Pay Rate: Up to $55/hour
Job Type: Full Time, Contract
Are you an experienced GPU systems engineer passionate about building and maintaining high performance AI infrastructure? Join our Global Fortune 500 Tech Client, a world renowned global technology leader at their Morrisville, NC campus and play a critical role in supporting advanced machine learning and large scale 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 cutting edge AI research and enterprise scale LLM training environments.
What You'll Do
Hardware Management & Troubleshooting
- Monitor, maintain, and optimize high performance 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.
- Install, configure, and update Linux OS (Ubuntu/CentOS), NVIDIA CUDA drivers, and supporting software.
- Ensure compatibility between hardware, drivers, and ML frameworks.
- Execute and analyze MLPerf or similar benchmarking suites.
- Identify bottlenecks and tune configurations for ML training performance.
- 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.
- Manage logging, backups, firmware updates, system patching, and cluster health.
- Support containerized AI infrastructure using Docker/Kubernetes.
- 3+ years managing GPU accelerated servers or HPC environments.
- Strong Linux system administration skills (shell scripting, package management, networking).
- Hands on 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 problem solving abilities and proactive ownership of system reliability.
- 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 fast paced, highly technical environment.
- Direct contribution to large scale AI and LLM infrastructure.
- Work on a state of the art enterprise campus with cutting edge GPU hardware.
- Join an engineering team driving next generation machine learning innovation.
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.