HPC Platform Engineer: Cloud & On-Prem Compute Leader

Eli Lilly and Company; Indianapolis (IN); Hybrid; USD 64,500 - 184,800; Full time

Benefits offered by this job

Company bonus eligibility

401(k) and comprehensive benefits

relocation support

Job summary

Eli Lilly and Company is seeking an HPC Platform Engineer to lead the engineering and operations of scalable HPC platforms in a hybrid Indianapolis setting. The role focuses on enabling analytical computing, optimizing performance, and streamlining workflows for researchers and scientists.

Responsibilities include orchestration and automation, resource scheduling, data access, and reproducibility, plus evolving cloud and on-prem environments for high availability.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related technical field.
• 2+ years’ experience as an HPC Platform Engineer.
• Hands-on experience with HPC platforms and expansion of HPC workloads.

Responsibilities

• Lead the engineering and operations of design, build, and maintain scalable HPC platforms.
• Enable Lilly’s HPC infrastructure and experiences.
• Collaborate with researchers and scientists to optimize performance and workflows.
• Leverage tooling for orchestration, resource scheduling, data access, and reproducibility.
• Evolve and operate public cloud and on-premises environments with focus on availability and performance.

Skills

HPC platform engineering

Linux

Python

Bash

DevOps tools

GPU accelerators

HPC schedulers (Slurm)

Kubernetes

Docker/containers

Terraform/Ansible/Chef

Education

Bachelor's degree in CS/IT or related

Tools

Altair Grid Engine

Slurm

Job description

Eli Lilly and Company is seeking an HPC Platform Engineer to lead the engineering and operations of scalable HPC platforms in a hybrid Indianapolis setting. The role focuses on enabling analytical computing, optimizing performance, and streamlining workflows for researchers and scientists.

Responsibilities include orchestration and automation, resource scheduling, data access, and reproducibility, plus evolving cloud and on-prem environments for high availability.