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# HPC Systems Administrator

- **Company:** Eli Lilly and Company
- **Location:** Durham, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $141,000.0 - $231,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Systems Engineering, Microsoft Azure, Bash Shell, Configuration Management, Computer Engineering, Data Security, Distributed Computing Environment, Distributed Systems, Job Scheduling, Python (Programming Language), Linux System Administration, Machine Learning, Node.Js, Ansible, Scripting, Cloud Platform System, High Performance Computing, Deep Learning, Containerization, Kubernetes, Storage Technologies, Information Technology, Slurm, Machine Learning Operations, Hardware Infrastructure, Docker
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/hpc-systems-administrator-durham-nc--2bd8476c-ae79-43cd-b2dd-113c9df42e58

## About the Role

Systems Administration/Management, Medical Products, Community Support, Medicine, Artificial Intelligence (AI), Drug Discovery, Chemistry, Biology, Machine Learning, Computer Systems, * Deep expertise in Linux systems administration, automation, and infrastructure management, with strong scripting skills in Python, Bash, and/or Ansible.

 * Experience building, administering, and optimizing large-scale HPC, GPU, or AI/ML computing environments, including job scheduling and resource management platforms such as Slurm or Grid Engine.
 * Proficiency with automation, configuration management, and container technologies, including Ansible, Kubernetes, Docker, and related tooling.
 * Solid understanding of distributed computing, high-performance networking, storage architectures, and cluster infrastructure.
 * Experience supporting large-scale distributed training and inference workloads across multi-GPU and multi-node environments.
 * Knowledge of GPU infrastructure, hardware lifecycle management, monitoring, and observability practices.
 * Demonstrated ability to solve complex infrastructure challenges, identify root causes, and implement scalable automated solutions.
 * Good communication and collaboration skills, with the ability to work effectively across researchers, engineers, and infrastructure teams.
 * Experience running NVIDIA GPU infrastructure and hardware lifecycle operations, including GPU monitoring, partitioning, diagnostics, and out-of-band server management using industry-standard tools and protocols.
 * Experience supporting regulated or critical environments is a plus.
 * Experience operating AI/HPC infrastructure in cloud environments such as AWS, Azure, or GCP.

Your Basic Qualifications

 * Bachelor's Computer Science, Electrical/Computer Engineering, Systems Engineering, or a related technical field.
 * 5 years' experience deploying, administering, or supporting large-scale HPC, GPU, or distributed computing environments in an enterprise or research setting.

## Description

The HPC Systems Administrator will build and operate scalable AI and high-performance computing platforms that power advanced machine learning and scientific workloads. You will partner with AI scientists, engineers, and domain experts to enable efficient model training, inference, and experimentation across GPU, cloud, and on-premises environments. Through platform engineering and automation, you will improve productivity, performance, and access to advanced computing resources while ensuring the reliability, availability, and efficiency of Lilly's AI and HPC infrastructure.

How You'll Succeed

 * Deliver highly available, secure, and performant AI and HPC platforms that meet the needs of research and engineering teams.
 * Drive operational excellence through automation, standardization, monitoring, and continuous improvement.
 * Balance infrastructure reliability, scalability, and cost efficiency across environments.
 * Enable efficient ML workflows through automation for orchestration, resource scheduling, data access, and reproducibility
 * Collaborate effectively across scientific, engineering, and infrastructure teams to solve complex technical challenges.
 * Adapt quickly to evolving AI, GPU, and HPC technologies and translate new capabilities into business value., This role is based at our Silicon Valley Hub. We offer a flexible hybrid work model, with three days onsite and two days working remotely each week, supporting both collaboration and work-life balance.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.