AI & HPC Systems Administrator - Hybrid (3 onsite/2 remote)

100 Eli Lilly and Company; South San Francisco (CA); Hybrid; USD 141,000 - 231,000; Full time

Benefits offered by this job

401(k)

Pension

Vacation benefits

Medical benefits

Job summary

Lilly is seeking an HPC Systems Administrator to build and operate scalable AI and high-performance computing platforms in the Silicon Valley hub. You will partner with AI scientists, engineers, and domain experts to enable efficient model training, inference, and experimentation across GPU, cloud, and on‑prem environments.

The role emphasizes automation, reliability, and cost efficiency while adapting to evolving AI/HPC technologies.

Qualifications

• Bachelor’s degree in a technical field and 5+ years deploying or supporting large-scale HPC/GPU environments.
• Experience operating AI/HPC infrastructure in cloud environments (AWS/Azure/GCP).
• Strong scripting and automation capabilities across Linux-based systems.

Responsibilities

• Build and operate scalable AI and HPC platforms for model training and inference.
• Collaborate with AI scientists, engineers, and domain experts to enable pipelines across GPU, cloud, and on‑prem environments.
• Enhance productivity and reliability through automation and standardization.
• Maintain security, performance, and cost efficiency across environments.
• Support distributed training workloads across multi-GPU, multi-node setups.
• Troubleshoot complex infrastructure challenges and implement scalable solutions.

Skills

Linux systems administration

Automation

Scripting

Job scheduling platforms

Ansible

Kubernetes

Docker

Distributed computing

GPU infrastructure management

Cloud environments

Infra monitoring & observability

Problem solving

Education

Bachelor’s Computer Science, Electrical/Computer Engineering, Systems Engineering, or related field

Tools

Slurm/Grid Engine

Ansible

Kubernetes

Docker

AWS/Azure/GCP

Job description

Lilly is seeking an HPC Systems Administrator to build and operate scalable AI and high-performance computing platforms in the Silicon Valley hub. You will partner with AI scientists, engineers, and domain experts to enable efficient model training, inference, and experimentation across GPU, cloud, and on‑prem environments.

The role emphasizes automation, reliability, and cost efficiency while adapting to evolving AI/HPC technologies.